Phd jobs in United Kingdom

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. \n As an Applied AI ML Director - NLP / LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. \n Job Responsibilities \n\n • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems\n, • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production\n, • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business\n, • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community \n \n\n Required qualifications, capabilities, and skills \n\n • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.\n, • Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods\n, • \n Hands on experience building agentic AI / multi-agent systems within regulated or compliance-driven environments \n • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus on agentic systems and LLM evaluation\n, • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.\n, • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments\n, • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems\n\n Preferred qualifications, capabilities , and skills: \n\n • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development\n, • Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning\n, • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\n, • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal\n\n About MLCOE \n The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. \n As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Machine Learning and Econometrics with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. \n Job responsibilities \n\n • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community\n, • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems\n, • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production\n, • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business\n\n Required qualifications, capabilities, and skills \n\n • PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research\n, • Ability to conduct literature research in unfamiliar fields\n, • Hands-on experience and solid understanding of machine learning and deep learning methods\n, • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)\n, • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals\n, • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.\n, • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments\n, • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems\n\n Preferred qualifications, capabilities, and skills \n\n • Strong background in Mathematics and Statistics and familiarity with the financial services industries;\n, • Solid knowledge in financial reports analysis; understand relationships among items in Balance Sheet, Income Statement, and Cashflow statement\n, • Ability to develop and debug production-quality code and solid experience in writing unit tests, integration tests, and regression tests;\n, • Published research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting at a major conference or journal\n\n \n \n \n About Us \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n About the Team \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence \n The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. \n The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. \n \n Job Responsibilities \n\n • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community\n, • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, LLMs or recommendation systems\n, • Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals.\n, • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production\n, • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business\n\n \n Required qualifications, capabilities, and skills \n\n • Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods\n, • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field\n, • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)\n, • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals\n, • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.\n, • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments\n, • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems\n\n \n Preferred qualifications, capabilities, and skills \n\n • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development\n, • Knowledge in search/ranking, Reinforcement Learning or Meta Learning\n, • Expertise in recommendation systems\n, • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\n, • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal \n \n\n About MLCOE \n The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning \n \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. To learn about how we're using AI/ML to drive transformational change, please read this blog: https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_... \n \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. \n \n \n \n About Us \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n About the Team \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you'll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference. \n As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. \n Job Responsibilities: \n\n • Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives.\n, • Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs.\n, • Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment.\n, • Ensure production-grade AI/ML applications and tools are built, maintained, and optimized.\n, • Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment.\n, • Champion documentation of methodologies, results, and best practices for knowledge sharing.\n, • Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites.\n, • Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.\n, • Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.\n\n Required Qualifications, Capabilities, and Skills: \n\n • MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.\n, • Proven experience building and deploying AI applications in large-scale production environments.\n, • Experience with MLOps practices and tools for managing the machine learning lifecycle.\n, • Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.\n, • Strong understanding of data preprocessing, feature engineering, and evaluation techniques.\n, • Experience working with large, complex datasets and applying statistical analysis.\n, • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).\n, • Experience managing data science teams and coaching team members.\n, • Problem-solving skills and ability to work independently and as a leader within cross-functional teams.\n, • Strong communication skills for both technical and non-technical audiences.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.\n, • Hands-on experience with agentic frameworks (LangChain, LangGraph).\n, • Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.\n, • Demonstrated experience in financial services, particularly investment banking operations.\n\n Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. \n #CIBAppliedAI \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role. \n Lead Data Scientist – Network Investment Planning & Optimisation \n Location: London (Hybrid) Reports To: Head of Data Science \n About Virgin Media O2 \n Virgin Media O2 (VMO2) is one of the UK’s largest telecommunications providers, connecting over 46 million customers across mobile, broadband, and TV. We are delivering one of the largest investments in UK digital infrastructure in a generation, allocating hundreds of millions of pounds annually to build the networks of the future—including ultrafast fibre and next-generation 5G. \n To power this massive capital investment, we are leveraging cutting-edge AI, machine learning, and mathematical optimisation to ensure every pound is invested where it can deliver the maximum benefit. \n About the Role \n We are looking for a Lead Data Scientist to join our Network Investment team. In this role, you will be the technical lead driving the design, development, and deployment of optimisation and predictive planning tools that shape our capital investment strategy. \n You will lead a high-performing team of data scientists to build intelligent, automated models that simulate rollout scenarios, and forecast and optimise their impact on key business measures. This is a unique opportunity to act as both a hands-on technical expert and a mentor to a talented team, working on high-impact problems that directly shape the physical connectivity of the UK. \n Key Responsibilities \n · Lead & Mentor: Act as the technical lead for a team of data scientists. Provide mentorship, steer project architectures, and champion high standards for clean, reproducible, and production-grade code. \n · Modelling, Forecasting and Optimisation: Design and implement models to simulate our networks and forecast how our customers use them and the service quality they will receive. Leverage these to solve crucial business planning problems. \n · End-to-End Delivery: Own the lifecycle of data science projects from discovery to deployment. Work as part of a cross functional team leveraging Python, dbt, and GCP (Vertex AI, BigQuery) to build robust pipelines. \n · Stakeholder Collaboration: Partner closely with Network stakeholder to translate complex commercial constraints into data science problems and the solutions to those problems into tangible impact. \n · Storytelling & Impact: Distil highly technical modelling outcomes into clear, visual, and actionable insights for senior leaders and executives making multi-million-pound investment decisions. \n \n What We Are Looking For (Requirements) \n The Must-Haves: \n · Educational Background: Master’s degree or PhD in a highly quantitative field or equivalent commercial experience. \n · Technical Leadership: Experience leading or mentoring data scientists, setting technical direction, and managing the end-to-end delivery of analytical products. \n · Proven Problem-Solving Record: Proven track record of using mathematical, ML and software techniques to solve industrial problems and deliver business impact. \n · Modern Tech Stack: Advanced proficiency in Python (pandas, NumPy, scikit-learn) and SQL. \n · Communication: Exceptional ability to explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. \n \n Nice-to-Haves: \n · Mathematical Optimisation: Background in Operations Research, with hands-on experience using optimisation solvers (e.g., Gurobi, Google OR-Tools) to solve real world problems. \n · Domain Knowledge: Prior experience in the Telecommunications, Utilities, Logistics, or Infrastructure sectors. \n · Cloud & MLOps: Experience developing and deploying production-grade models in cloud environments.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Step into a pivotal role at the forefront of JP Morgan’s AI transformation. As part of the Chief Analytics Office (CAO), you’ll drive innovation and shape the future of financial technology. You’ll collaborate with talented teams, architect impactful solutions, and see your work deliver measurable results across the firm. This is your opportunity to influence strategy, build production-grade systems, and unlock new possibilities for our clients and stakeholders. Join us and help define the next era of enterprise AI. \n Job Summary: \n As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production-grade LLM systems that power mission-critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. \n Job Responsibilities: \n\n • You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm.\n, • Architect and deliver production LLM-based systems for text, image, speech, and video applications.\n, • Own end-to-end delivery, performance, and continuous improvement of LLM Suite products.\n, • Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact.\n, • Bridge advanced AI research with robust engineering to build innovative, production-ready solutions.\n, • Drive results with an entrepreneurial mindset in a fast-paced, high-impact environment.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline.\n, • Demonstrate extensive hands-on experience in ML engineering, with a proven track record of shipping production AI systems.\n, • Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory.\n, • Apply practical experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed.\n, • Communicate complex technical concepts effectively and build trust with stakeholders at all levels.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization.\n, • Architect and implement high-throughput, low-latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing.\n, • Apply hands-on experience with parameter-efficient fine-tuning (LoRA, QLoRA, IA3), model quantization (INT8, FP16, GPTQ), and quantization-aware training for LLMs at scale.\n, • Demonstrate deep knowledge of distributed training strategies, memory optimization, and inference acceleration for large-scale multimodal models.\n, • Orchestrate advanced agentic workflows, including multi-agent coordination, stateful task management, and integration with enterprise event-driven architectures.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Verisk to connect them with exceptional professionals for this role. \n Description \n Verisk is looking for a passionate, motivated individual to join the dynamic, client facing Model Product Management team in London as a Catastrophe Model Product Management Associate. You’ll have an important role in shaping the future of Verisk models, with opportunities to contribute to the scope, monitor the execution and facilitate the implementation. You'll be at the forefront of bringing these complex and interdisciplinary models to market, ensuring a customer-focused approach throughout the process. \n If you're passionate about innovation and thrive in a collaborative environment, this is the perfect role for you! \n Responsibilities \n\n • \n Foster strong client relationships, supporting their model needs and ensuring an effective feedback loop to inform model strategy and relevance. \n • \n Communicate upcoming model updates and support go-to-market strategies. \n • \n Deliver technical model presentations and address client questions to support licensing, model evaluation, regulatory compliance, and adoption. \n • \n Collaborate with Consulting, Client Services, and Research teams to drive model adoption, perform market research, and translate scientific innovations into model scope requirements. \n • \n Execute model change management for London and European clients, ensuring timely support and resource availability. \n • \n Represent Verisk at industry and academic conferences, presenting models and thought leadership. \n • \n Work with Regulatory, Consulting, and Client Services teams to address market needs, regulatory questionnaires, and insurance/climate stress test reporting. \n • \n Build relationships with all key Verisk stakeholders (consulting, research, engineering, QA, business development) and collaborate with adjacent business units on go-to-market plans. \n • \n Collect feedback on opportunities to leverage model data-as-a-service for evaluation, parametric insurance, and underwriting tools, focusing on London, Europe, and international markets. \n\n Qualifications \n\n • \n Graduate degree in a STEM field (PhD preferred; Master’s with relevant experience considered). \n • \n 3+ years of experience in the insurance industry or academia. \n • \n Knowledge of the Lloyd’s market preferred. \n • \n Interest in and knowledge of multiple natural hazard catastrophe models (e.g., hurricane, earthquake, flood, wildfire, severe thunderstorm) preferred. \n • \n Excellent communication skills, with the ability to explain complex topics clearly. \n • \n Proven experience managing long-term, complex projects with cross-functional teams, balancing multiple priorities simultaneously. \n • \n Ability to motivate and foster innovative discussions among colleagues is desirable. \n • \n Direct Product Management experience desirable. \n • \n Coding skills in SQL, R, or Python are beneficial; ArcGIS knowledge desirable. \n • \n Knowledge of Touchstone and Touchstone Re desirable but not essential. \n\n #LI-AA1 \n #LI-Hybrid

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Vanguard is looking for a senior leader to lead Vanguard’s global asset allocation research function within the Investment Strategy Group (ISG) – the firm’s multi-asset investments group responsible for shaping investment perspectives, portfolio methodologies, and advice frameworks. \n As the Head of Global Asset Allocation Research, you will own the research and models that underpin capital market assumptions, portfolio construction, and multi-asset solutions, directly influencing Vanguard’s funds, model portfolios, and retirement offerings. You will serve as a senior advisor to investment leadership, helping translate macroeconomic insights into long-term, investor-focused portfolio strategy. \n What you will do \n\n • \n Lead Vanguard’s strategic and dynamic asset allocation research agenda, including translating the firm’s capital market assumptions into portfolio strategies. \n • \n Translate macro, valuation, and market insights into evidence-based portfolio positioning aligned with Vanguard’s long-term investment philosophy. \n\n\n • \n Lead portfolio construction frameworks for multi-asset funds, model portfolios, retirement, and advice solutions. \n • \n Oversee our proprietary Vanguard Asset Allocation Model and related tools to evaluate risk/return trade-offs and ensure scalable, consistent application across client segments. \n\n\n • \n Shape Vanguard’s position about role of asset classes in portfolios, asset allocation views, and flagship research for internal and external audiences. \n • \n Provide differentiated perspectives on portfolio strategies and represent vanguard views with clients, industry forum, and in the press. \n\n\n • \n Advise senior leadership on portfolio positioning, rebalancing, risk scenarios, and alignment between research, methodology, and implementation. \n\n\n • \n Partner with portfolio management, advice, and product teams to inform fund management, product design, model portfolios, and retirement solutions. \n\n\n • \n Set ISG’s research agenda, standards, and priorities while integrating economics, behavioral research, portfolio construction, modeling, and analytics. \n\n What it will take \n\n • \n 10+ years’ research experience in multi-asset investing, asset allocation, or macro strategy. PhD or graduate degree preferred \n • \n Deep expertise across global asset classes and portfolio construction research frameworks \n • \n Proven experience with research publications, public speaking, and media \n • \n Track record influencing CIOs, investment committees, and portfolio decisions \n\n Special Factors \n Sponsorship \n Vanguard is not offering visa sponsorship for this position. \n About Vanguard \n At Vanguard, we don't just have a mission—we're on a mission. \n To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. \n How We Work \n Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n THE ROLE \n We’re looking for a Senior Data Science Manager to lead the team building the models that power our global marketing engine. You’ll be the strategic partner to our Global Marketing teams, building the LTV, MMM, and CRM models that pinpoint exactly where Wise scales next. \n This role is about bridging the gap between deep technical research and real-world impact. By ensuring our model outcomes are robust, transparent, and—most importantly—actionable, you’ll turn complex data science into the insights that drive our mission and reach millions of customers worldwide. \n WHAT YOU’LL DO \n\n • \n Drive Growth Strategy & Real Impact: Partner with Analytics, Marketing Channels Leads, and Finance to define the strategy for our marketing investments across the globe. You will be responsible for quantifying and communicating the business value and ROI of our data science initiatives, translating complex insights into actionable strategies for senior leadership. \n • \n Technical Leadership & Innovation: Lead the research, experimentation, and rapid iteration in developing and evaluating advanced data science models for Marketing. This includes pioneering new approaches and refining existing methodologies for Marketing Mix Models (MMM), Customer Lifetime Value (LTV) modelling, and CRM modelling. You will driving innovation in how we build, validate, and deploy models that accurately predict customer behaviour, measure campaign effectiveness, and inform strategic marketing investments, directly contributing to Wise's growth \n • Coach,Mentors & Scale: Lead, mentor, and grow the team building technical capabilities, fostering career development, and promoting knowledge sharing on cutting-edge technologies and methodologies. You will also be responsible for prioritising projects and allocating resources effectively within the data science team to ensure alignment with strategic objectives and timely delivery of impactful solutions.\n\n Qualifications \n WHAT YOU’LL BRING \n\n • \n Technical Expertise: 7+ years hands-on experience. Strong technical foundation with expertise in coding (Python, SQL). You possess deep expertise in lifetime value (LTV) modelling and econometrics / marketing mix modelling, complemented by a strong understanding of statistics, particularly Bayesian reasoning, which enables you to accurately estimate results and know when to deliver actionable insights. Your technical toolkit includes experience with Bayesian approaches to machine learning, neural networks (ideally PyTorch), and a solid grasp of causal inference concepts, including their application with machine learning models. Furthermore, you are adept at navigating a diverse range of model types, confidently selecting between gradient boosting, neural networks, linear regression, or a blend, based on the specific problem and desired outcome. \n • \n Leadership: 2+ years experience leading high-performing data science teams, driving the development of models in Marketing. Demonstrated ability to build, scale, mentor, and retain top technical talent, fostering collaborative and innovative team cultures. \n • \n Domain Expertise: Experience in marketing operations and strategy with a deep understanding of the customer lifecycle from a marketing perspective. This includes expertise in customer acquisition, retention, engagement strategies, marketing campaign drivers, and the unique data challenges inherent in measuring marketing effectiveness, LTV, MMM, and CRM. \n • \n Communication & Influence: Excellent communication skills with the ability to translate complex technical concepts into strategic business language and build consensus across diverse stakeholder groups. \n • \n Strategic Ownership & Pragmatism: Demonstrated ability to proactively identify impactful opportunities, influence business strategy, and drive initiatives to completion. You possess a pragmatic approach, effectively triaging requests and adapting analysis scope to achieve optimal outcomes in a fast-paced environment. \n\n NICE TO HAVE BUT NOT ESSENTIAL \n\n • \n An advanced degree (Masters / PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields preferred. \n • \n Experience within Financial Services or FinTech \n\n Additional Information \n #LI-CH1 \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Vice President, Sr. Auditor to join our Internal Audit team. This role is located in London. \n In this role, you will make an impact in the following ways: \n\n • Leads or performs audits related to Finance reporting activities and works as a team member on audit assignments. \n, • Leads risk-focused planning, fieldwork and reporting, in accordance with Internal Audit policies, methodologies, and standards in order to identify meaningful issues, risks and other exposures. \n, • Responsible for ensuring testing (or other tasks as applicable) is adequate and accurate to allow an evaluation of adherence to company policies and procedures, audit methodologies, and all applicable regulations.\n, • Demonstrates skills and understanding of businesses and processes through flowcharting, work papers, analysis, issue identification and discussions with management and auditees.\n, • Identifies inconsistencies within the control environment, regulatory requirements and best practices and able to clearly explain the audit process to clients, as well as any findings or results.\n, • Applies advanced analytical problem-solving skills and leads others in solving complex issues and identifying innovative solutions.\n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor's degree or equivalent combination of education and work experience required.\n, • Degree in Accounting, Finance, or relevant critical thinking specialty such as MIS, DIS, Computer Science, Mathematics preferred. Modelers - Advanced degree (PhD) in Math, Statistics, Physics, Economics or Engineering preferred.\n, • Relevant work experience required\n, • Prior experience in Audit or the relevant specialty area preferred.\n, • Additional core skill requirements include understanding of the applied and interpretation of analytics results for Audit, critical thinking and problem solving. \n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. \n Job Summary \n As an Associate/ Vice President in the Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you. \n Job responsibilities \n\n • Work with business leads to develop AI/ML-driven analytics and automation that support their business goals \n Build up a scalable data architecture to handle the large volume of transaction data\n • Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management\n, • Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints\n, • Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development\n, • Make real-world, commercial recommendations through effective presentations to various stakeholders\n, • Leverage data visualization to communicate quantitative insights to help business decision-making\n, • Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward\n\n Required qualifications, capabilities, and skills \n\n • Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc\n, • Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application\n, • Experience in tackling real world data science problems, end-to-end from prototype to production, using Python\n, • Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience\n, • \n Passion for learning, sharing knowledge, building collaborations, and getting things done \n\n Preferred qualifications, capabilities, and skills \n\n • Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub\n, • You demonstrate hands-on experience in solving sequential decision making problems\n, • Experience in applying LLMs and/or deep learning methods to solve business problems\n, • Experience in working with Cloud and/or HPC environments\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We are looking for a new member to join our Interest Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm. \n As a Quant Model Risk Vice President in the Interest Rates team, you will assess and help mitigate the model risk of complex models used in the context of valuation and risk measurement for Interest Rate derivatives. Additionally, you will have an opportunity for exposure to a variety of business and functional area as well as will work closely with model developers and users. \n You will also have managerial responsibility to oversee, train and mentor junior members of the team. \n Job responsibilities \n\n • Carries out model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products/structures\n, • Provides guidance on model usage and act as first point of contact for the business on all new models and changes to existing models\n, • Develop and implement alternative model benchmarks and compare the outcome of various models; Design model performance metrics\n, • Liaises with model developers, Risk and Valuation Control Groups and provide guidance on model risk\n, • Evaluates model performance on a regular basis\n, • Manage and develop junior members of the team.\n\n Required qualifications, capabilities, and skills \n We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role. \n\n • 5+ years of experience in a FO or model risk quantitative role.\n, • Excellence in probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis\n, • MSc, PhD or equivalent in a quantitative discipline\n, • Inquisitive nature, ability to ask right questions and escalate issues\n, • Excellent communication skills (written and verbal)\n, • Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives)\n, • Good coding skills, for example in C/C++ or Python \n \n\n Preferred qualifications, capabilities, and skills \n The following additional items will be considered but are not required for this role \n\n • Experience with interest rates derivatives\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. \n As an Applied AI / ML Lead - Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions \n \n\n Required qualifications, capabilities, and skills \n\n • Hands on experience in an ML engineering role\n, • Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Track record of developing, deploying business critical machine learning models \n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Specialism in NLP or Computer Vision\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Extensive experience with pytorch, numpy, pandas\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)\n, • Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies (e.g. Spark, Hadoop)\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Familiarity with GraphQL\n\n #CIBAppliedAI \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. \n As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions.\n, • Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience.\n\n Required qualifications, capabilities, and skills \n\n • Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Specialism or well-researched interest in NLP\n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc.\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Extensive experience with pytorch and related data science python libraries (e.g. pandas)\n, • Experience of containerising applications or models for deployment (Docker)\n, • Experience with one of the major public cloud providers (Azure, AWS, GCP)\n, • Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Experience with container orchestration tools (e.g. Kubernetes, Helm) \n, • Knowledge of open source datasets and benchmarks in NLP\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications\n, • Track record of developing, deploying business critical machine learning models\n\n #CIBAppliedAI \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As a Director of AI/ML within the Commercial and Investment Bank, you will set the vision and lead the enterprise portfolio for agentic AI that automates and optimizes complex business workflows at scale. You will guide cross-functional teams and strategic partners to define reference architectures and delivery roadmaps for multi-agent systems—leveraging LLMs, retrieval-augmented generation, and modern agent frameworks—while instituting governance, safety, and reliability standards and tracking measurable business outcomes. \n Job responsibilities \n\n • Architect, develop, and productionize autonomous and assistive AI agents to streamline and enhance operations.\n, • Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using LangChain, CrewAI, AutoGen, ADK and LangGraph.\n, • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation.\n, • Build and integrate agent tools (MCP) and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing, error handling, and retries.\n, • Design and implement robust evaluation frameworks to systematically assess and measure the performance of AI agents across key operational metrics.\n, • Practice advanced prompt and context engineering (e.g., Chain-of-Thought, ReAct, function calling/tool-use prompts), implement output validation and guardrails to reduce hallucinations.\n, • Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability for agent performance.\n, • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops to continuously improve reliability and utility.\n, • Partner with stakeholders to define requirements, design intuitive human-AI interfaces (voice, chat), and deliver measurable business impact.\n, • Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; and performance evaluations.\n, • Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.\n\n Required qualifications \n\n • \n MSc/PhD in Computer Science, Data Science, Machine Learning, or related field. \n • \n Significant proven experience building and deploying AI applications in large scale production environments. \n • \n Experience managing data science teams and couching team members \n • \n Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn). \n • \n Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK). \n • \n Experience with generative models (transformers, GANs/VAEs; diffusion models a plus). \n • \n Strong understanding of data preprocessing, feature engineering, and evaluation techniques. \n • \n Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). \n • \n Strong communication skills for both technical and non-technical audiences. \n\n Preferred qualifications \n\n • \n Experience fine-tuning small language models (SLMs) with LoRA, QLoRA, DoRA; quantization and distillation a plus. \n • \n Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. \n • \n Experience with distributed computing, data sharding, and performance optimization. \n • \n Hands-on with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. \n • \n Demonstrated experience in financial services, particularly investment banking operations. \n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We are looking for a new member to join our cross-asset team in the Model Risk Governance and Review group which is responsible for end-to-end model risk management across the firm for electronic trading models. \n As a Quant Modeling Associate/Vice President in our Model Risk Governance and Review team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety of business and functional areas and will work closely with model developers and users. \n Job responsibilities \n\n • \n Evaluate conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability and comprehensiveness of performance metrics and risk measures. Perform independent testing of models by replicating or building benchmark models. \n • \n Design and implement experiments to measure the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; compare model outputs with empirical evidence or outputs from model benchmarks. \n\n\n • \n Evaluate the risks posed by non-transparent model parameters and/or non-linear relationships, and suggest ways to mitigate such risks. \n\n\n • \n Document the model review findings and communicate them to stakeholders. \n\n\n • \n Serve as the first point of contact for model governance related inquiries for the coverage area, and help identify and escalate issues to ensure that their resolutions are sound and timely. \n\n\n • \n Provide guidance on the appropriate usage of models to model developers, users, and other stakeholders in the firm. \n\n\n • \n Stay abreast of the ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders. \n\n\n • \n Maintain the model inventory and model metadata for the coverage area. \n\n\n • \n Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards. \n\n Required qualifications, capabilities, and skills \n\n • \n Master's or PhD in a quantitative discipline such as Mathematics, Physics, Engineering, Computer Science, Economics or Finance \n\n\n • \n Strong experience in model validation or front office in an area of electronic trading (either agency or market making) \n\n\n • \n Excellence in probability theory, stochastic processes, statistics, and numerical analysis. \n\n\n • \n Strong understanding of option pricing theory and quantitative models for derivatives. \n\n\n • \n Excellent communication skills (written and verbal) \n\n\n • \n Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalate issues appropriately. \n\n\n • \n Proficiency in Python (NumPy, SciPy, Pandas, etc). \n\n\n • \n Curious, ownership-driven, and teamwork-oriented mindset. \n\n Preferred qualifications, capabilities and skills \n\n • \n Prior model validation or frontâoffice quant experience in pricing, risk, or electronic market making models. \n\n\n • \n Database interfacing, data management and (pre-)processing (kdb, q, SQL). \n\n\n • \n Experience of working with tensorflow and other ML packages. \n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. \n Hungry for a challenge? \n That’s good, because at Just Eat Takeaway.com (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. \n Our mission? To empower every food moment around the world, whether it’s through customer service, coding or couriers. \n About this role \n As the Senior Team Lead for Data Science - Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations. \n This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the team. \n Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions. \n Location: Berlin, London or Amsterdam office with 3 days in the office and 2 days working from home \n Reporting to: Data Science Manager \n The Key Ingredients of the roleStrategic Leadership & Outcome Ownership (Approx. 75%) \n\n • Team Leadership & People Management: Lead, manage, and scale a high-performing team of Data Scientists through mentorship, coaching, and performance management. Foster a collaborative and results-driven team culture.\n, • Drive Strategic Solutions: Own the team's contribution to defining logistics estimation solutions, ensuring direct alignment with critical company objectives and the broader business strategy. You will champion data science innovation ideas and partner closely with Product Management (PM) to ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders.\n, • Drive Business Impact: Take ownership of key logistics KPIs, particularly overall ETA accuracy across the customer journey. Guide the team's focus on the highest-value initiatives and ensure data science moves in a data-driven direction. The DSTL partners closely with the Product Manager to advise and influence the strategic prioritization of work.\n, • Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models. This includes diagnosing operational friction points (e.g., courier re-assignments, restaurant preparation delays) that impact model performance.\n, • Strategic Planning: Translate RCA findings into concrete, actionable plans and conceptual designs for incorporating new features or models to mitigate these business-driven inaccuracies.\n, • Stakeholder Communication: Act as the primary interface between the Data Science team and the wider audience (Product, Operations, Engineering). Expertly translate complex data insights and machine learning concepts into clear, actionable business insights for non-technical audiences.\n\n Technical Guidance & Conceptual Design (Approx. 25%) \n\n • Conceptual Model Design: Focus on the conceptual design and validation strategy for new predictive features and models. Define what the model needs to achieve and how it should be validated.\n, • Technical Guidance & Review: Serve as the senior technical expert, guiding architectural decisions for prediction models and maintaining high standards through rigorous design discussions and model reviews.\n, • MLE Partnership: Partner closely with Machine Learning Engineers (MLEs), who own the deployment and scaling processes, to transition robust model designs and thoroughly documented algorithmic logic for production implementation.\n, • Insight Generation: Guide the team in deep-dive analysis of large-scale geospatial and real-time data to translate findings into actionable modeling recommendations.\n\n What You'll Bring to the Table \n\n • A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.\n, • Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists.\n, • Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment. This experience is crucial for providing effective strategic and architectural guidance.\n, • Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems. Experience with deep learning is considered a plus.\n, • Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions.\n, • Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring.\n, • Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders.\n\n At JET, this is how we play \n Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. \n Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. \n At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again. \n Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition. \n Inclusion, Diversity & Belonging \n No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. \n What else are we delivering? \n Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys. \n Are you ready to join the team? Apply now! \n #LI-VA1

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. \n If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. \n Skills and Competencies \n\n • Strong expertise in statistical modelling, probability, and numerical methods, required to develop robust catastrophe risk models\n, • Proficiency in programming languages such as Python, R, or Julia to build and maintain scalable modelling frameworks\n, • Experience analysing climate and atmospheric data, with knowledge of tropical cyclone processes preferred\n, • Ability to collaborate effectively in multidisciplinary teams, including use of version control systems (e.g., Git) for shared code development\n, • Strong analytical thinking and problem-solving skills to interpret complex hazard behaviours and translate them into model outputs\n, • Effective communication skills to present technical insights clearly to both technical and commercial stakeholders\n, • Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency\n, • Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use \n\n Education \n\n • PhD in Statistics, Atmospheric Science, Climate Science, Applied Mathematics, or a related discipline\n, • MSc candidates with relevant industry experience may be considered\n\n Responsibilities \n Develops statistical and mathematical models to quantify tropical cyclone risk and support catastrophe risk assessment. \n\n • Conduct research into tropical cyclone behaviour, including extreme event modelling, to quantify hazard and loss potential\n, • Develop, test, and enhance statistical and numerical models used in catastrophe risk assessment\n, • Collaborate with cross-functional teams across hazard, vulnerability, exposure, and financial modelling to ensure model accuracy and completeness\n, • Analyse large-scale observational and reanalysis datasets to support model development and validation\n, • Implement and maintain modelling code in high-performance computing environments where required\n, • Translate complex modelling outputs into actionable insights for internal stakeholders and external clients\n, • Contribute to continuous improvement of modelling methodologies, including exploration of advanced techniques such as machine learning \n\n About the Team \n Our Model Development - Hazard Modelling team is responsible for building advanced catastrophe models that quantify the financial impact of natural hazards. We contribute to Moody’s by delivering industry-leading catastrophe modelling solutions used by global re/insurance and financial markets, and advancing scientific research and innovation in natural hazard risk modelling. By joining our team, you will be part of cutting-edge work in climate risk, catastrophe modelling, and data-driven analytics within a global, multidisciplinary environment. \n Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. \n Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We are seeking a highly motivated Model Risk Auditor to join our dynamic Model Risk Internal Audit team. This role is located in London, UK. \n In this role, you will make an impact in the following ways: \n\n • Lead or participate in complex Internal Audit engagements focused on model risk, including reviews of counterparty risk and market risk models, across all phases of the audit lifecycle: planning, fieldwork, and reporting.\n, • Evaluate the design and operating effectiveness of controls over model development, implementation, use, and validation activities, including supporting documentation, modeling methodologies, input data, parameter selection, outcome analysis, and other significant modeling judgments.\n, • Perform and oversee audit testing with sufficient depth, accuracy, and rigor to support conclusions regarding adherence to Internal Audit methodology, internal policies and procedures, and applicable regulatory requirements.\n, • Identify, assess, and communicate significant issues and control weaknesses within model risk areas under review, and effectively challenge management to drive appropriate and timely remediation.\n, • Prepare high-quality audit reports and other written deliverables that clearly articulate observations, risk implications, root causes, and recommendations.\n, • Monitor and validate the remediation of audit findings, including evaluating the design and operating effectiveness of corrective actions, where applicable.\n, • Provide guidance, coaching, and constructive feedback to team members, including reviewing audit workpapers to ensure quality, consistency, and adherence to Internal Audit standards.\n, • Develop and maintain effective working relationships with key stakeholders across Risk, Model Risk Management, Front Office, and other control functions, while contributing to continuous monitoring activities in model risk areas.\n, • Serve as a subject matter expert within Internal Audit on model risk management practices, with particular focus on counterparty risk and market risk frameworks, regulatory expectations, and industry developments.\n, • Identify control environment gaps, emerging risks, and inconsistencies with regulatory expectations, and contribute to the development and refinement of the annual Internal Audit plan for model risk.\n, • Maintain current knowledge of model risk management practices, counterparty risk and market risk methodologies, evolving regulatory expectations, and relevant industry standards.\n, • Apply a data-driven mindset and leverage advanced data analytics to enhance audit coverage, strengthen risk assessment, and deliver value-added audit insights.\n, • Support ad hoc reviews, special projects, and other Internal Audit initiatives as directed by senior audit management.. \n\n To be successful in this role, we’re seeking the following: \n\n • \n Bachelor's degree or equivalent combination of education and work experience required. \n • \n Advanced degree (PhD) in Math, Statistics, Physics, Economics or Engineering preferred. \n • Relevent work experience preferred.\n, • Prior experience in model development, validation, or audit preferred.\n, • Proficient understanding of SR 11-7 and SR 26-2.\n, • Additional core skill requirements include understanding of the applied and interpretation of analytics results for Audit, critical thinking and problem solving. \n

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Lead Vanguard’s Behavioral Economics and Retirement research in Europe to establish Vanguard as the authoritative global voice on retail investors—shaping industry thinking, informing policy, and driving better financial outcomes for investors worldwide. \n Lead Vanguard’s Behavioral Economics and Retirement research in Europe to establish Vanguard as the authoritative global voice on retail investors—shaping industry thinking, informing policy, and driving better financial outcomes for investors worldwide. \n Lead Vanguard’s Behavioral Economics and Retirement research in Europe to establish Vanguard as the authoritative global voice on retail investors—shaping industry thinking, informing policy, and driving better financial outcomes for investors worldwide. \n This role combines thought leadership, people leadership, and business influence. You will set the research agenda, lead a high-performing team, and translate insights into tangible impact across Vanguard’s products, advice, and client experience \n What you will do: \n 1) Set the research agenda and drive insight \n\n • Define and execute a multi-year research strategy across behavioral economics and retirement\n, • Identify high-impact questions at the frontier of: \n \n, • Retail investor behavior and decision-making\n, • Retirement accumulation and decumulation\n \n, • Leverage large-scale administrative, market, and survey data to produce breakthrough insights\n, • Position Vanguard research at the intersection of data, policy, and client outcomes\n\n 2) Lead and develop a best-in-class team \n\n • Build and lead a multi-disciplinary research team (economists, data scientists, policy researchers)\n, • Coach and develop talent, creating a strong pipeline of future leaders\n, • Set a high bar for intellectual rigor, storytelling, and impact\n, • Foster a culture of ownership, innovation, and collaboration across regions (US, UK, Europe, AUS)\n\n 3) Translate research into business impact \n\n • Partner with senior stakeholders in the UK and Continental Europe across: \n \n, • Investment Strategy Group\n, • Product and Marketing\n, • Public Policy\n \n, • Turn research findings into actionable recommendations that influence: \n \n, • Product design (e.g., retirement solutions)\n, • Advice frameworks and client experiences\n, • Business strategy and positioning\n \n, • Ensure research outputs translate into measurable investor outcomes\n\n 4) Serve as a public voice for Vanguard \n\n • Act as a senior spokesperson for Vanguard on retail investor topics\n, • Engage regularly with: \n \n, • Financial press and media\n, • Policymakers and regulators\n, • Industry bodies and conferences\n \n, • Deliver compelling, plain-language narratives that reinforce Vanguard’s mission\n, • Build Vanguard’s brand as the trusted authority on retail investors globally\n\n 5) Influence policy and industry direction \n\n • Lead research that informs debates on: \n \n, • Retirement systems and policy (e.g. savings, defaults and decumulation)\n, • Investor protection and behavioral design\n \n, • Collaborate with internal and external partners to shape policy outcomes\n, • Ensure Vanguard has a clear, evidence-based voice in public discourse\n\n What success looks like (12–24 months) \n\n • Vanguard is recognized as the go-to authority on retirement and investor behavior \n, • Research directly shapes: \n \n, • At least 2–3 major product, advice, or policy decisions\n \n, • Strong pipeline of externally visible thought leadership (press, conferences, policymaker engagement)\n, • A high-performing, engaged team with clear succession depth\n, • Clear integration of research into client-facing insights and actions\n\n What it takes: \n Experience \n\n • 10+ years of experience in: \n \n, • Economics, behavioral science, finance, or public policy\n \n, • Proven track record of: \n \n, • Leading teams and complex research programs\n, • Publishing impactful research using large datasets\n \n, • Experience engaging with media, policymakers, or industry audiences\n\n Capabilities \n\n • Strategic leadership: ability to set a vision and mobilize teams around it\n, • Research excellence: rigorous analytical and empirical skills\n, • Storytelling & influence: translate complex insights into compelling narratives\n, • Stakeholder leadership: ability to shape decisions across senior business partners\n, • External presence: credible, confident spokesperson in public forums\n\n Education \n\n • Advanced degree (PhD or Master’s) in economics, finance, public policy, or related field preferred\n\n Special Factors \n\n • European Designations: Certified, MiFiD II, T&C.\n, • Vanguard is not offering visa sponsorship for this position.\n, • This position is hybrid and would require you to work in the office location Tuesday, Wednesday and Thursday.\n\n How We Work \n Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Physics Expert (PhD / Postdoc).Written Technical Communication.Technical Problem-Solving Depth.Mathematical & Computational Fluency.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthca

Job Title: Business / English / Social Sciences / Art /Fashion / Graphic Design Location: Central London About the Role / Job Summary:Join a vibrant higher education institution dedicated to delivering high-quality global education services. This role focuses on creating holistic approaches to teaching and learning, promoting student success and retention. Ideal candidates will have a strong teaching record, industry links, and a passion for enriching the educational experience.Key Responsibilities: \n\n • Set and maintain educational and professional standards in teaching and curriculum development.\n, • Undertake course responsibilities including lesson planning, teaching, assessment, and administration.\n, • Provide academic and pastoral support to students, monitoring their progress.\n, • Maintain industry links and stay updated with developments in the subject area.\n, • Contribute to curriculum development and cross-disciplinary teaching strategies.\n, • Engage in research and scholarly activity or professional practice.\n, • Attend and lead course-related meetings and examination boards as required.\n, • Support projects and promote collaboration across specialist areas.\n\n Qualifications: \n\n • Relevant BA and postgraduate qualification or equivalent professional experience.\n, • PhD or higher-level research degree.\n, • Teaching qualification (PG Cert or equivalent); completion of PGCERT in education required if not already held.\n, • Fellowship (or higher) of the Higher Education Academy.\n\n Experience Requirements: \n\n • Experience in teaching and assessment in a Higher Education environment.\n, • Proven experience in curriculum design and development.\n, • Experience in leading and managing educational programs.\n, • Evidence of research and professional practice relevant to the discipline.\n, • Strong industry connections to facilitate partnerships or collaborations.\n\n \n Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

\n • Senior Quantitative Developer / Research & Data Engineer\n, • Research & Data Engineer\n, • UNITED KINGDOM\nSenior Quantitative Developer / Research & Data Engineer- LONDON- UNITED KINGDOMPrimary Skills - Python, C++, quantitative, research, market data, simulation frameworksSecondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, LinuxNo. Positions - 3Remote Status - No RemoteClient Willing to Sponsor - YesDegree - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research ONLYRelocation Paid - YesRecruit From UK onlySalary Details:Annual Salary - £250,000 - £600,000Other Compensation - Base + BonusJob DescriptionQuantitative Developer / Senior Research & Data Engineer - Systematic Trading (London)A leading systematic investment firm, managing over $6 billion in assets, is spinning out from the quantitative division of a globally recognized hedge fund to become an independent investment firm. This is a rare opportunity to join during a major growth phase and help build the firm's long-term technology platform.The company combines the stability of an established investment business with the engineering culture of a high-performing technology organization. Engineers work in small, highly autonomous teams with significant ownership over critical systems. Senior hires are expected to lead major technical initiatives and work directly with executive leadership, including the CTO.What the work covers depending on placement:\n\n, • Designing and operating systems that deliver real-time market data to trading infrastructure, where speed and reliability are fundamental requirements\n, • Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution\n, • Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck\n, • Standing up toolchains for new asset classes or trading strategies - the kind of foundational work where you're defining what needs to exist\n, • Working across boundary of research and production - ensuring that what quants build in notebooks can actually run reliably at scale\nThe technology is primarily Python, with C++ where performance demands it. The infrastructure runs across both on-premises systems and cloud. ML is used as one tool among many - this is a systematic shop, not an AI-first fund. The emphasis is on engineering quality, quantitative judgment, and the ability to build durable systems.Qualifications\n\n, • You have real buy-side experience - or experience in an environment with similar standards. You've worked at a systematic fund, a quant trading firm, or you've transitioned from a top tech company and proven yourself in a trading environment. People from firms like the ones you'd expect are what they're looking for.\n, • You are a strong Python Engineer with good C++. You're not a "script writer" - you build frameworks, infrastructure, and systems.\n, • You have quantitative judgment. You don't need to be a PhD researcher, but you understand how data, models, and trading systems interact. You can work productively with quants and understand what they need from the engineering side.\n, • You are senior enough to take ownership. The CTO wants people he can hand large initiatives to and trust the output. Think 6 to 15+ years of relevant experience, with meaningful time in high-standards environments.\n, • Your communication skills are excellent - both written and verbal. The bar for this is genuinely high. If you can't articulate your thinking clearly, this isn't the right place for you regardless of your technical strength.\n, • You've achieved things. Years of experience is not the only metric - for example 5 years out of Oxford and already operating at a level most people reach at 12, that is the level we are seeking.\n, • MUST have a Bachelor's degree or higher in a quantitative or technical field from a top university.\nWhy is This a Great Opportunity:The firm already has the capital, the leadership, the talent, and the track record. What makes this moment special is that the spin-out has not completed yet. The people joining now are building the independent platform from the inside. Once the separation is done and the story becomes obvious to everyone, the best seats will be taken and the leverage will be different.If the spinout reaches the scale they're targeting, every single person who was part of it will carry that on their resume for the rest of their career. That is not a hypothetical - this is already being discussed as potentially the largest spinout of its kind in the industry.The leadership team came from some of the most respected systematic firms in the world. The CEO sits in London - this is a true headquarters, not a satellite office. The CTO is someone that exceptional engineers want to work for - high standards, high trust, no bureaucracy. The culture is technical, fast-moving, and genuinely kind. People here describe it as the happiest they've been professionally.Base salary in London ranges from £120k - £160k+, but the real number is total comp. Year 1 bonus is guaranteed, and for senior hires, total compensation ranges from £450k to well over £600k depending on experience and impact. The firm does not have rigid comp bands - if they see the value, they pay for it.The London office is growing rapidly, with the firm recently expanding into additional space. Four days in-office, Mondays remote. It's a genuinely great environment.Do not miss this once in a lifetime opportunity!IND123

Job Title: L4 & 5 Foundation Degree in Arts LecturerLocation: Central LondonAbout the Role / Job Summary:Join a vibrant higher education institution dedicated to delivering high-quality global education services. The L4 & 5 Foundation Degree in Arts Lecturer role focuses on creating holistic approaches to teaching and learning, promoting student success and retention. Ideal candidates will have a strong teaching record, industry links, and a passion for enriching the educational experience. The role emphasises engaging students in a supportive academic community, ensuring they understand the value of their educational journey.Key Responsibilities: \n\n • Set, promote, and maintain educational and professional standards in teaching and curriculum development.\n, • Undertake general course responsibilities including lesson planning, teaching, assessment, and administration.\n, • Provide academic and pastoral support to students, monitoring their progress and maintaining records.\n, • Maintain strong links with related industries and professional bodies, staying updated on developments in the subject area.\n, • Contribute to curriculum development and cross-disciplinary teaching strategies.\n, • Engage in research and scholarly activity or professional practice in relevant disciplines.\n, • Attend and contribute to course-related meetings and examination boards as required.\n, • Support projects and promote collaboration across specialist areas.\n\n Qualifications: \n\n • Relevant BA and postgraduate qualification or equivalent professional experience.\n, • PhD or higher-level research degree.\n, • Teaching qualification (PG Cert or equivalent); completion of PGCERT in education required if not already held.\n, • Fellowship (or higher) of the Higher Education Academy.\n\n Experience Requirements: \n\n • Experience of teaching and assessment in a Higher Education environment.\n, • Experience in curriculum design and development, including creating course materials that support student success.\n, • Experience in leading and managing educational programs.\n, • Evidence of research and professional practice relevant to the discipline.\n, • Strong industry connections to facilitate partnerships or collaborations.\n\n \n Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

About Us \n Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. \n \n At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. \n \n Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. \n \n Job Description \n \n Job Summary \n Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. \n All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. \n Key Responsibilities \n\n • Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions.\n, • Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines.\n, • Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.\n, • Contribute to project estimation, considering delivery costs and escalating issues that may cause delays.\n, • Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices.\n, • Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products.\n, • Lead code reviews, ensuring adherence to coding standards and providing feedback to team members.\n, • Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact.\n, • Leverage data analysis and monitoring standards to identify patterns and defects in all environments.\n, • Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution.\n, • Build, enhance, and identify new developer tools to support programs and applications.\n, • Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers.\n\n \n Qualifications \n \n Basic Qualifications \n\n • 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.\n, • Experience in software engineering or a directly related field.\n, • Experience in developing and/or implementing web-based or mobile applications.\n, • Experience in a leadership role with or without direct reports.\n, • Experience in technologies/software systems or a directly related field.\n, • Experience in creating and maintaining test plans and executing testing procedures.\n, • Experience in debugging and troubleshooting software issues.\n, • Experience in collaborating with cross-functional teams to deliver technical solutions.\n, • Experience in code review and applying coding standards.\n, • Experience in building or enhancing developer tools.\n\n \n Preferred Qualifications \n \n\n • 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.\n, • Experience working with container-based technologies.\n, • Experience building and testing enterprise-scale web services.\n, • Experience in product development.\n, • Experience working on client-facing project or technical teams.\n\n \n \n Visa is an EEO Employer \n Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. \n

Job Title: Customer Services Executive French or German Speaker \n Location: Training in London – then fully remote \n Start date: July 7th , 2026 \n Salary: £28,000 - £32,000 \n Our client is seeking an enthusiastic and proactive Customer Services Executive, fluent in German or French. The role is focussed on providing excellent customer services and order processing in a busy, dynamic environment. Working within Life Sciences, so experience within pharmaceutical/ biotechnology or another complex or technical, scientific product would be preferred. \n Location(s) - United Kingdom – London – Fully Remote \n Our client is focused on delivering outstanding products, services, and overall value to its customers. The business in Europe is growing year on year with offices, London and Amsterdam. Our client is responsible for delivering products to customers throughout Europe. If you speak, and write, French and German confidently as well as English and enjoy being the first point of contact for customer calls and emails, and processing orders, then we would love to hear from you. \n Essential Functions/What you'll do: \n You’ll juggle responsibility for ensuring orders for specific market(s) get processed on time with responding to whatever customer calls you receive and completing other assigned tasks. \n\n • Be part of a busy team providing legendary customer service: primarily answering calls from customers and processing orders.\n, • Bring a positive energy to your work, our clients team and your interactions with customers. Through collaboration you are encouraged each day to aspire to deliver the best performance possible, and to continue to grow.\n\n Represent our client and be responsible for delivering a high quality and legendary service to all customers, external and internal. What you do here is very visible and high impact. \n\n • Ensure all customer orders are entered accurately into our clients system (Microsoft Navision) on a daily basis, effectively and within the Company’s agreed timeframes/service level commitment in order to achieve maximum Customer Satisfaction and to support the Sales Team to drive sales growth.\n, • Communicate to customers any changes to their order status and of any potential issues affecting supply or delivery timing.\n, • Take ownership of customer issues and follow through to solve problems while exercising sound judgment, focusing on achieving a resolution that exceeds customer expectations.\n, • Communicate with internal departments in order to resolve customer queries.\n, • Handle daily email and phone interactions – you’ll be dealing with PhD students, procurement teams, both universities and commercial customers.\n, • Other responsibilities over time such as account updating/account creation or supporting key accounts.\n\n Minimum Qualifications - Education and Experience \n\n • You have a genuine passion for customer services, giving every customer the feeling that they and their order/query are important to the business, and to you personally. You'll likely have developed this over an absolute minimum of two years of customer service experience.\n, • Trilingual German/French/English is a must, both written and spoken.\n, • Confident using MS Office.\n, • Polite, friendly, warm, and courteous phone demeanor – you have to like talking to customers!\n, • Confidence in asking questions and guiding conversations to resolve customer requests.\n, • Experience using an ERP and CRM.\n, • Self-organised, you can keep track of your “to do” list and are used to manual systems.\n, • Open and accepting of coaching and feedback – you like to reflect on your own performance and use our feedback to grow.\n, • Able to provide a (relatively) calm and quiet work-at-home environment whilst we are all working remotely.\n\n Preferred Qualifications - Education and Experience \n\n • Customer Service experience within a pharmaceutical or biotechnology company, or another complex and technical product.\n, • Experience with Salesforce CRM\n\n You are required to be eligible to work in the UK full time without restriction. If you feel you have the relevant skills and experience required for this role, then please apply to Evolve Recruitment, Kingston upon Thames for more information. \n Due to the high volume of applications we receive it is not always possible to respond to unsuccessful applicants. Therefore, if we have not responded to your application within five days please assume that on this occasion your application has not been successful.

Clinical Development Director \n Type: Temporary Duration: 6 monthsLocation: London (hybrid working available)Rate: (INSIDE IR35)up to £480 per day (PAYE) \n We are working with a leading pharmaceutical company who are seeking an experienced Clinical Development Director to provide scientific and clinical leadership across global clinical development programs and studies. This role will play a pivotal part in shaping clinical strategy, driving high-quality trial execution, and ensuring the successful delivery of clinical and regulatory milestones within a collaborative, cross-functional environment. \n Key Responsibilities \n\n • Lead and support the development and execution of clinical development strategies, clinical trial protocols, and other key clinical deliverables.\n, • Drive clinical data review, analysis, and interpretation, contributing to study reports, publications, and scientific presentations.\n, • Author and oversee clinical sections of regulatory submissions, investigator brochures, briefing documents, safety updates, and responses to regulatory authorities.\n, • Collaborate with cross-functional teams including medical, biostatistics, data management, regulatory affairs, and safety to ensure high-quality clinical trial delivery.\n, • Support safety monitoring activities and contribute to risk management and safety reporting throughout the development lifecycle.\n, • Engage with external experts, regulatory agencies, advisory boards, and other stakeholders while providing leadership, mentoring, and development support to team members.\n\n Skills & Experience Required \n\n • Advanced degree in Life Sciences, Pharmacy, Medicine, or a related healthcare discipline (PhD or PharmD preferred).\n, • Significant clinical research and drug development experience, with exposure across Phase I-IV clinical studies.\n, • Strong understanding of GCP, clinical trial design, statistical principles, and global regulatory requirements.\n, • Demonstrable experience of planning, executing, reporting, and publishing global clinical trials.\n, • Demonstrated ability to build strong scientific partnerships and influence stakeholders within complex matrix organisations.\n, • Excellent communication, leadership, negotiation, and stakeholder management skills, with prior people management experience desirable.\n\n Why Join? \n This is an opportunity to influence the development of innovative therapies, lead high-impact global clinical programs, and work alongside world-class scientific and clinical teams dedicated to advancing patient outcomes.# \n To Apply \n Please click below and/or to discuss further, contact Theo Charles on \n \n Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Assessment & Learning Design Manager | Hybrid ( London) | Up to £46,000 + great benefits \n \n We're partnering with a globally respected cultural relations and education organisation, delivering English language learning and assessment products used by millions of learners worldwide. With a major focus on the quality and effectiveness of their Schools, Higher Education and Work product lines, this is a genuinely varied role at the heart of how learning and assessment content gets designed and proven to work. \n \n The Role \n As Assessment & Learning Design Manager, you'll lead the design and quality assurance of learning and assessment products from early curriculum development through to prototyping and pre-testing. You'll work closely with Subject Matter Experts, Product and Research & Impact teams to make sure what gets built is pedagogically sound, valid and genuinely effective for learners - backed by your own hands-on data analysis. \n This is a role for someone who wants to shape both the "what" and the "does it actually work" of assessment and learning design. \n \n What You'll Be Doing \n\n • Support curriculum development across Schools, Higher Education and Work products\n, • Collaborate with and brief Subject Matter Experts on content and assessment design\n, • Lead prototyping of new learning and assessment approaches\n, • Own pre-testing and pilot data analysis to validate design decisions\n, • Deploy quality assurance frameworks across content and assessment development\n, • Prepare clear documentation and specifications to brief internal and external teams\n\n \n What We're Looking For \n\n • Extensive experience in English language learning design and/or assessment development\n, • Experience using data analytics and test statistical analysis to assess and improve product effectiveness\n, • Experience managing test seeding, pre-testing or piloting processes\n, • Higher qualification in ELT, Assessment or Applied Linguistics (PhD, Masters, DELTA, Dip TESOL or equivalent)\n, • Comfortable working across a global business with multiple stakeholders\n, • UK based with unlimited right to work - this role cannot support visa sponsorship or relocation\n\n \n What's on Offer \n\n • Up to £46,000\n, • Civil service-style pension, up to c.20%+\n, • 39 days holiday per year\n, • Hybrid working - 2-3 days per week onsite\n\n \n *Rates depend on experience and client requirements

We work with a range of UK employers actively hiring across these roles. Job Description: UK-Based (On-Site, Hybrid or Remote) About the Role We're looking for talented Quantitative professionals at all levels—from Quantitative Analyst and Quantitative Researcher through to Quant Developer, Quantitative Risk Analyst and Senior / Lead Quant—for upcoming roles across the buy-side, sell-side, risk and fintech. This is where serious mathematics, programming and financial markets meet: you'll build the models that price instruments, manage risk and find the edge. You'll work across the full quantitative lifecycle—from research and model development through to implementation, validation and production. The role suits someone who pairs genuine mathematical and statistical depth with strong software engineering and the intellectual honesty to know exactly what a model can and can't be trusted to do. Key Responsibilities • Develop, test and implement quantitative models—pricing, risk, signal / alpha or execution, • Apply statistical and machine learning methods to financial and market data, • Build and maintain pricing and valuation models across one or more asset classes, • Develop risk models—VaR, stress testing, scenario analysis, market and credit risk, • (Buy-side) Research signals, develop strategies and run rigorous backtesting, • Productionise models in robust, well-tested code, • Work with large financial and market datasets and the pipelines behind them, • Validate models, document methodology and support model risk and governance, • Partner with traders, portfolio managers, risk teams and technology What You'll Bring Technical Expertise: • Strong programming skills—Python (NumPy, pandas, scikit-learn) and / or C++, R, q/kdb+, SQL, • Solid mathematics and statistics—probability, stochastic calculus, linear algebra, optimisation and time-series analysis, • Machine learning where it's applied to genuine financial problems, • Financial markets knowledge—instruments, pricing and risk across one or more of equities, FX, rates, credit, derivatives or crypto, • Discipline in modelling, backtesting and validation, • Big data and cloud tooling is a plus A note on background: this lane overlaps heavily with data science and ML engineering—if you're a strong Data Scientist or ML Engineer with the mathematical depth and an appetite to move into financial markets, we'd genuinely welcome the conversation. Analytical & Soft Skills: • Analytical rigour and intellectual honesty about model assumptions and limits, • Communication—able to explain a model to non-quant stakeholders, • A research mindset and real curiosity, • Strong attention to detail and a healthy risk awareness, • Collaborative approach across desks, risk and technology Domain Flexibility: • Roles span hedge funds and asset managers (buy-side), banks (sell-side), risk functions, trading firms and quant-driven fintech, • Background in any of these is welcomed; appetite to learn an adjacent asset class or desk valued just as much Experience Level: • Minimum 2+ years for Quantitative Analyst, 5+ for Senior, 8+ for Lead / Principal, • An MSc or PhD in a quantitative discipline (mathematics, physics, statistics, computer science, engineering or financial engineering) is common; CFA or CQF a plus, • Examples of models, strategies or risk frameworks you've developed and taken into production What We Offer • The opportunity to work where quantitative rigour translates directly into pricing, risk and returns, • Exposure to modern quantitative tooling, large financial datasets and production model environments, • Roles at the level you're ready for—we're hiring across the full quant spectrum, • A collaborative environment where mathematical depth and engineering craft are both valued, • A genuine bridge for strong data and ML talent looking to move into financial markets, • Flexible working arrangements (on-site, hybrid or remote) and supportive team culture Job Type: Full-time Benefits: • Flexitime, • Work from home

\n Assessment & Learning Design Manager | Hybrid ( London) | Up to £46,000 + great benefits \n We're partnering with a globally respected cultural relations and education organisation, delivering English language learning and assessment products used by millions of learners worldwide. With a major focus on the quality and effectiveness of their Schools, Higher Education and Work product lines, this is a genuinely varied role at the heart of how learning and assessment content gets designed and proven to work. \n The Role \n As Assessment & Learning Design Manager, you'll lead the design and quality assurance of learning and assessment products from early curriculum development through to prototyping and pre-testing. You'll work closely with Subject Matter Experts, Product and Research & Impact teams to make sure what gets built is pedagogically sound, valid and genuinely effective for learners - backed by your own hands-on data analysis. \n This is a role for someone who wants to shape both the "what" and the "does it actually work" of assessment and learning design. \n What You'll Be Doing \n\n • Support curriculum development across Schools, Higher Education and Work products\n, • Collaborate with and brief Subject Matter Experts on content and assessment design\n, • Lead prototyping of new learning and assessment approaches\n, • Own pre-testing and pilot data analysis to validate design decisions\n, • Deploy quality assurance frameworks across content and assessment development\n, • Prepare clear documentation and specifications to brief internal and external teams\n\n What We're Looking For \n\n • Extensive experience in English language learning design and/or assessment development\n, • Experience using data analytics and test statistical analysis to assess and improve product effectiveness\n, • Experience managing test seeding, pre-testing or piloting processes\n, • Higher qualification in ELT, Assessment or Applied Linguistics (PhD, Masters, DELTA, Dip TESOL or equivalent)\n, • Comfortable working across a global business with multiple stakeholders\n, • UK based with unlimited right to work - this role cannot support visa sponsorship or relocation\n\n What's on Offer \n\n • Up to £46,000\n, • Civil service-style pension, up to c.20%+\n, • 39 days holiday per year\n, • Hybrid working - 2-3 days per week onsite\n\n *Rates depend on experience and client requirements

Leading Energy Trading business is now seeking to hire an Energy Trading Analyst to join their London based team. You MUST have experience of either the power, or gas markets and be used to providing accurate market and fundamental analysis to trading teams. Python programming and modelling skills are also essential. \n \n You will have strong analytical background, numerical and data management skills alongside strong communication skills. Candidates will ideally have 1-2 years energy trading experience or relevant experience from working with a consulting firm. The role can be tailored to suit an MSc or PhD level candidates who have carried out energy related research. \n \n This is an excellent role that will suit a high calibre analyst looking for the next step in their career. \n

A leading global multi-strat hedge fund is seeking an experienced Quantitative Researcher to join one of its established mid-frequency equities investment teams in London. \n \n This is an opportunity to work alongside world-class Portfolio Managers and Researchers, developing alpha signals and systematic investment strategies within a highly collaborative, research-driven environment. The team benefits from exceptional technology, extensive proprietary and alternative datasets, and the infrastructure required to rapidly test and deploy new ideas into production. \n \n Responsibilities \n \n\n • Research and develop predictive alpha signals for systematic equity strategies.\n, • Apply advanced statistical techniques and machine learning methods to large financial datasets.\n, • Design, test and refine systematic investment models across the full research lifecycle.\n, • Analyse market behaviour and identify new sources of alpha.\n, • Collaborate closely with Portfolio Managers, Quant Developers and Data Engineers to implement production-ready models.\n, • Conduct rigorous backtesting, performance attribution and signal validation.\n, • Evaluate new datasets and alternative data sources to enhance research capabilities.\n, • Continuously improve existing models through ongoing research and optimisation.\n\n \n Requirements \n \n\n • Advanced degree (Masters or PhD) in Mathematics, Statistics, Computer Science, Physics, Engineering, Economics or another quantitative discipline.\n, • Proven experience as a Quantitative Researcher within a systematic hedge fund, proprietary trading firm or quantitative asset manager.\n, • Demonstrated track record of researching and delivering profitable alpha signals.\n, • Strong knowledge of statistics, probability, machine learning and time series analysis.\n, • Excellent programming skills in Python, with experience working on large-scale research pipelines.\n, • Experience working with large financial datasets and building robust research frameworks.\n, • Strong communication skills with the ability to explain complex quantitative concepts.\n, • A genuine passion for systematic investing and quantitative research.\n\n \n Desirable Experience \n \n\n • Mid-frequency or medium-horizon systematic equity strategies.\n, • Alternative data research.\n, • Portfolio construction and optimisation.\n, • Transaction cost modelling.\n, • Feature engineering and model validation.\n, • Cloud computing or distributed research environments.\n\n \n What's on Offer \n \n\n • Opportunity to join a tier-one global systematic hedge fund.\n, • Highly collaborative, research-led culture.\n, • Access to industry-leading data, technology and computational resources.\n, • Significant autonomy to pursue original research ideas.\n, • Competitive base salary with market-leading performance-related compensation.\n, • Excellent long-term career progression within a world-class investment platform.\n\n \n If you are passionate about quantitative research and have a proven track record of generating alpha within systematic equities, we would be delighted to speak with you in complete confidence.

Senior Principal (Transport) – London (Hybrid) – Competitive Salary \n \n We are partnering with a leading economics consultancy to appoint a Senior Principal to join their expanding Transport practice. This is a fantastic opportunity for an experienced transport economist to take a leadership role, delivering high-profile advisory projects while driving the continued growth of a highly respected consulting team. \n \n Working with clients across government, regulators, infrastructure owners, operators and investors, you'll provide strategic economic advice on some of the most significant challenges shaping the future of transport, including infrastructure investment, regulation, competition, decarbonisation and market design. \n \n Role: \n As a Senior Principal, you'll play a key role in leading complex client engagements, developing long-term client relationships and contributing to the strategic direction of the transport practice. Alongside project leadership, you'll support continued growth with new business efforts, mentoring junior economists and representing the business across the transport and economics sectors. \n \n Key Responsibilities: \n\n • Lead the delivery of complex transport economics and advisory projects from inception through to completion.\n, • Provide expert advice on areas including economic regulation, transport policy, competition, market design, infrastructure investment and decarbonisation.\n, • Build and maintain trusted relationships with senior stakeholders across government, regulators, transport operators and investors.\n, • Identify and secure new business opportunities through proposals, bids and strategic client engagement.\n, • Represent the business through thought leadership, industry events and publications.\n, • Mentor and develop junior team members, fostering a collaborative and high-performing culture.\n, • Ensure the highest standards of analytical quality across multiple client engagements.\n\n \n Key Skills: \n\n • Ideally a MSc or PhD in Economics\n, • 10+ years of experience within economic consulting, transport advisory, government, regulatory bodies or a related environment.\n, • Strong expertise in transport economics with experience advising clients on complex regulatory, commercial or policy issues.\n, • Knowledge across areas such as economic regulation, transport appraisal, competition economics, infrastructure investment, market design, funding, demand modelling or decarbonisation.\n, • Experience working across sectors such as rail, aviation, roads, ports, logistics, public transport or emerging mobility.\n, • Proven ability to lead large-scale consulting engagements and manage senior client relationships.\n, • Excellent communication and stakeholder management skills with the ability to explain complex economic concepts clearly.\n, • Strong leadership skills with experience mentoring and developing high-performing teams.\n\n \n Benefits: \n\n • Competitive salary and comprehensive benefits package.\n, • Hybrid working model offering flexibility.\n, • Generous annual leave allowance with the option to purchase additional holiday.\n, • Enhanced parental leave.\n, • Private healthcare.\n, • Income protection and life assurance.\n, • Extensive learning and development opportunities, including structured career progression and mentoring.\n, • Opportunity to work on market-leading transport projects with high-profile clients across the UK and internationally.\n, • Collaborative, employee-focused culture with genuine opportunities to influence the growth of the business.\n\n \n For more information regarding the role, please contact Zach at zward@chisquare-group.com. \n \n By applying to this advert you agree to your personal details being held on file in relation to this and other future relevant opportunities.

\n About Us \n At Obsidian, we’re passionate about transforming scientific communications to improve healthcare outcomes for everyone. As a specialist healthcare agency, dedicated to medical and scientific communications, we partner with global healthcare organisations to share knowledge that truly makes a difference. \n \n Our team of >70 academic scientists, strategists, and communications experts deliver cutting-edge solutions across: \n \n\n • Medical Affairs\n, • Strategic Consultancy\n, • Scientific Meetings and Events\n, • Medical Education\n, • Publications Planning & Delivery\n, • Creative & Digital Services\n, • Commercial Strategy\n\n \n The Opportunity \n We are looking for a Scientific Director to join one of Obsidian’s thriving business units. This is an exciting opportunity for an experienced Scientific Director (SD) or an accomplished Principal Medical Writer (PMW) ready to take the next step in their career. As a senior member within our editorial team, you will play a pivotal role in shaping client strategy, delivering scientific excellence, and developing talent. Working closely with Client Services, you will build and strengthen client partnerships while identifying opportunities for organic growth across key accounts. \n \n In this role, you will: \n\n • Hold a senior position within a 12-person editorial team, working closely with Client Services colleagues.\n, • Provide scientific and strategic leadership across a diverse portfolio of healthcare communications projects.\n, • Lead and grow designated client accounts, ensuring programmes meet scientific, editorial and communication objectives.\n, • Build and maintain strong client relationships, acting as a trusted scientific advisor.\n, • Identify opportunities for organic business growth and support account development.\n, • Mentor, coach and develop medical writers at all levels, helping them build their skills, confidence and expertise.\n, • Contribute to a dynamic business unit of 25 professionals delivering impactful healthcare communications.\n\n \n Our work spans a broad range of therapy areas. including oncology, biosimilars, rare diseases, cardiology, infectious diseases and vaccines, neurology and haematology. \n \n What You'll Do \n\n • Provide expert scientific, editorial and strategic counsel, drawing on your medical communications expertise and reporting to the Scientific Business Unit Lead.\n, • Ensure the quality, accuracy and consistency of all editorial deliverables, aligning outputs with wider client objectives.\n, • Take ownership of editorial delivery, ensuring projects are completed on time, to brief and within budget.\n, • Support training and capability development across the wider editorial team.\n, • Line manage and mentor junior team members, fostering their professional growth and development.\n, • Ensure new starters are effectively onboarded within client accounts and project teams.\n, • Drive continuous improvement by introducing ideas that enhance quality, efficiency and ways of working.\n, • Monitor resourcing requirements and contribute to workforce planning and recruitment activities.\n, • Collaborate closely with Client Services and cross-functional teams to ensure exceptional project delivery and client satisfaction.\n\n \n What We're Looking For \n\n • A degree in a life sciences discipline (BSc, MSc, PhD or equivalent).\n, • Significant experience within a medical communications agency environment.\n, • Experience operating at Scientific Director level (or equivalent) or a strong Principal Medical Writer ready to progress into the SD role.\n, • Proven leadership, mentoring and line management experience.\n, • A strategic mindset with the confidence to challenge thinking, influence decisions and drive client success.\n, • Demonstrated ability to anticipate client needs and develop effective solutions that enhance customer satisfaction.\n, • A track record of delivering high-quality scientific content alongside strategic scientific counsel.\n, • Strong commercial awareness and understanding of account growth and profitability.\n\n \n What We Offer \n\n • Hybrid working: Only 2 anchor days a week in the office from our vibrant London office (just off Fetter Lane, EC4).\n, • 25 days’ holiday + bank holidays, plus gifted days at Christmas and your birthday off.\n, • AXA Private Healthcare (with family options), Aviva pension scheme, income protection, life assurance.\n, • Enhanced parental leave, cycle-to-work scheme, season ticket loan.\n, • Bonus schemes and employee referral rewards.\n, • Learning and Development: Comprehensive training programmes, annual performance reviews, and opportunities to join working groups.\n, • Wellbeing Support: EAP, mental health first aiders, AXA wellbeing calendar, and a dedicated wellbeing room.\n, • Social Connection: Regular social events, and a friendly, collaborative culture.\n\n \n Ready to lead, inspire, and make an impact? \n Join us at Obsidian and help shape the future of scientific communications. \n

Overview \n A leading multi-strategy hedge fund is seeking an experienced Risk Manager to provide front-office aligned risk coverage across Credit trading businesses. The role will partner directly with Portfolio Managers, Traders and Senior Leadership to oversee market risk, portfolio construction, stress testing and trading exposures across a broad range of equity volatility strategies. \n \n Responsibilities \n\n • Provide daily risk oversight across Credit portfolios\n, • Partner closely with Portfolio Managers and Traders to challenge positioning, concentration and portfolio construction\n, • Monitor and analyse key market risk metrics including: VaR, Stress testing & scenario analysis, Factor and correlation exposures, Liquidity and concentration risk\n, • Conduct deep-dive reviews of trading books and identify emerging portfolio risks\n, • Assess volatility surface exposures, skew positioning and convexity risks across strategies\n, • Evaluate risk across all credit strategies\n, • Produce actionable risk commentary and communicate findings to investment teams and senior management\n, • Work alongside Quantitative Research, Technology and Trading teams to enhance risk infrastructure and analytic\n\n \n Requirements: \n\n • 5-8 years of experience working in a risk role with a focus on Credit Strategies\n, • Education: Masters degree in a Finance/Quantitative/Engineering field required, PhD preferred\n, • Experience with factor-based risk analysis, portfolio construction, or optimization techniques\n, • Proven ability to work closely with investment teams and influence decision-making\n, • Strong communication skills, with the ability to convey complex risk concepts clearly to a range of stakeholders\n, • Deep understanding of market risk methodologies and industry practices\n, • Hands-on, proactive approach with a willingness to engage at both strategic and detailed levels\n\n

Medical Science Liaison - Oncology \n London Area | Field-Based \n \n I'm currently partnering with an international pharmaceutical company as they continue to expand their UK Medical Affairs team. \n \n This is an excellent opportunity for an experienced Oncology MSL to join a growing organisation, working closely with leading healthcare professionals and key opinion leaders to deliver high-quality scientific exchange and support medical strategy across the UK. \n \n Key Responsibilities \n\n • Develop and maintain relationships with key opinion leaders and healthcare professionals\n, • Deliver scientific exchange and communicate clinical data in a compliant, peer-to-peer manner\n, • Support medical education initiatives, advisory boards and scientific meetings\n, • Generate and communicate medical insights from the field\n, • Collaborate with cross-functional teams including Commercial, Market Access and Marketing\n, • Support evidence generation activities, including real-world evidence and investigator-initiated research where appropriate\n\n \n Requirements \n\n • Previous experience as a Medical Science Liaison within Oncology\n, • Strong scientific background (PhD, PharmD, MD or equivalent Life Sciences degree)\n, • Excellent KOL engagement and relationship-building skills\n, • Strong understanding of Medical Affairs and the UK healthcare landscape\n, • Ability to work autonomously in a field-based role\n, • Full UK driving license and willingness to travel\n\n \n If you're an Oncology MSL looking to join a collaborative organisation with an expanding oncology portfolio, I'd be happy to arrange a confidential discussion.

Lab & CRO Operations Manager \n London | Hybrid \n \n I am currently working with a very exciting and fast-growing biotech developing next-generation gene therapies. This is an opportunity to build a laboratory from the ground up while managing preclinical CRO partnerships and helping shape the company's scientific operations. \n \n This is one of those rare Rockstar led style companies where you're going to be part of genuine innovation, bleeding-edge (not just cutting edge) science and a team with rocket fuel potential! \n \n This is an early stage management career so will not be suitable for Director or Exec level candidates. \n \n Key Requirements \n\n • Fluent Mandarin and English\n, • MSc or PhD in a Life Science discipline\n, • 3-5+ years' laboratory operations experience within biotech\n, • Experience managing CROs and external research partners\n, • Knowledge of gene therapy, gene editing or advanced therapeutics\n, • Experience building or scaling laboratory operations\n\n \n The Role \n\n • Build and manage my clients new London laboratory\n, • Lead lab operations, procurement, inventory and BSL-2 compliance\n, • Manage China-based CRO relationships across preclinical studies\n, • Coordinate vendors, budgets, logistics and study delivery\n, • Ensure outsourced studies are delivered on time and to a high standard\n\n

Senior Or Principal Scientist \n Location: London, UK \n Employment Type: Full-time, Permanent \n \n The Opportunity \n This is an outstanding opportunity for an experienced biologics scientist to play a key role in designing and advancing next-generation antibody therapeutics. You will bring extensive hands-on expertise in antibody engineering, affinity maturation, and developability assessment while partnering closely with computational biology and machine learning teams to translate biological insights into clinic-ready molecules. \n The ideal candidate will have personally designed and optimized therapeutic antibodies and contributed to biologics programs from target validation through candidate selection and IND-enabling activities. \n \n Key Responsibilities \n\n • Lead biologics discovery programs from target validation through lead optimization and candidate selection.\n, • Design, engineer, and optimize antibody molecules using experimental data to guide progression decisions.\n, • Drive modality selection across antibodies, bispecifics, ADCs, fusion proteins, and fragments.\n, • Design and execute discovery strategies aligned to Target Product Profiles (TPPs).\n, • Apply expertise in:\n, • Antibody discovery and engineering\n, • Affinity maturation and CDR engineering\n, • Developability assessment\n, • Mechanistic characterization and potency optimization\n, • Design and interpret cell-based functional assays and biophysical characterization studies, including:\n, • SPR/Biacore\n, • BLI/Octet\n, • Binding, potency, and selectivity assays\n, • Collaborate closely with Computational Biology, Machine Learning, Translational Science, DMPK, Toxicology, and CMC teams.\n, • Partner with CROs and external collaborators, overseeing study design, data interpretation, and program progression.\n, • Contribute to scientific strategy and act as a key technical leader within the biologics group.\n, • Mentor junior scientists and contribute to publications and scientific visibility.\n\n \n Required Experience \n\n • PhD in Molecular Biology, Immunology, Protein Engineering, Pharmacology, Cell Biology, or a related discipline.\n, • Significant industry experience in biotech or pharmaceutical biologics drug discovery.\n, • Proven track record progressing antibody programs through:\n, • Target validation\n, • Hit identification\n, • Lead optimization\n, • Candidate selection\n, • IND-enabling studies\n, • Deep expertise in:\n, • Therapeutic antibody design and engineering\n, • Affinity maturation and CDR optimization\n, • Developability assessment\n, • Biologics discovery cascades\n, • Molecule progression decision-making\n, • Hands-on experience with:\n, • Cell-based functional assays\n, • SPR/Biacore\n, • BLI/Octet\n, • In vitro pharmacology\n, • CRO management\n, • Strong understanding of biologics modalities, including antibodies, bispecifics, ADCs, fusion proteins, and fragments.\n, • Experience working in highly cross-functional, matrixed environments.\n\n \n Interested in learning more? \n Please contact HLX Life Sciences for a confidential discussion regarding this opportunity.

About Us \n \n At Obsidian, we’re passionate about transforming scientific communications to improve healthcare outcomes for everyone. As a specialist healthcare agency, dedicated to medical & scientific communications, we partner with global healthcare organisations to share knowledge that truly makes a difference. \n \n Our team of >70 academic scientists, strategists, and communications experts deliver cutting-edge solutions across: \n \n\n • Medical Affairs\n, • Strategic Consultancy\n, • Scientific Meetings and Events\n, • Medical Education\n, • Publications Planning and Delivery\n, • Creative and Digital Services\n, • Commercial Strategy\n\n \n \n The Opportunity \n \n This is an exciting opportunity for an experienced Principal Medical Writer to step into a pivotal role, shaping high-impact scientific and commercial projects while mentoring the next generation of talent. As a Principal Medical Writer (PMW), you will: \n \n\n • Lead editorial direction for a diverse portfolio of scientific and commercial projects, including complex multi-component deliverables across a range of therapy areas such as: oncology, biosimilars, rare diseases, cardiology, infectious diseases/vaccines, neurology and haematology.\n, • Own project delivery across your accounts, ensuring the highest editorial, scientific, and strategic standards.\n, • Mentor and develop junior writers, offering coaching, training, and guidance to maintain exceptional quality and support career progression.\n, • Drive resource planning and workflow discussions for assigned accounts, ensuring efficiency and timely delivery.\n, • Support team time management, helping junior colleagues prioritize effectively and work collaboratively.\n\n \n Our expertise will directly influence the success of client projects and strengthen our reputation for scientific excellence—making a real impact on healthcare communications worldwide \n \n \n What You’ll Do \n \n\n • Lead the charge on projects, driving timelines, resources, and flawless delivery.\n, • Shape strategy as the go-to therapy area expert, ensuring scientific precision and impact.\n, • Craft compelling content that challenges briefs and elevates client expectations.\n, • Inspire and mentor junior writers, building a culture of excellence.\n, • Own client relationships, instilling confidence and creating long-term partnerships.\n, • Champion compliance and editorial quality at every stage.\n, • Master budgets and resources, keeping projects on track and profitable.\n, • Spot growth opportunities and help win new business with standout proposals.\n, • Drive innovation, sharing ideas that improve processes and strengthen the team.\n\n \n \n What We’re Looking For \n \n\n • Ideally a degree in biological sciences (BSc/MSc/PhD or equivalent).\n, • Proven experience within medical communications agencies, ideally as a Principal Medical Writer or equivalent\n, • Strong leadership and mentoring skills with a track record of managing editorial team members.\n, • Ability to deliver high-quality scientific content and strategic counsel\n, • Strong commercial acumen\n\n \n \n What We Offer \n \n\n • Hybrid working: Only 2 anchor days a week in the office from our vibrant London office (just off Fetter Lane, EC4).\n, • 25 days’ holiday + bank holidays, plus gifted days at Christmas and your birthday off.\n, • AXA Private Healthcare (with family options), Aviva pension scheme, income protection, life assurance.\n, • Enhanced parental leave, cycle-to-work scheme, season ticket loan.\n, • Bonus schemes and employee referral rewards.\n, • Learning and Development: Comprehensive training programmes, annual performance reviews, and opportunities to join working groups.\n, • Wellbeing Support: EAP, mental health first aiders, AXA wellbeing calendar, and a dedicated wellbeing room.\n, • Social Connection: Regular social events, and a friendly, collaborative culture.\n\n \n Ready to lead, inspire, and make an impact? \n Join us at Obsidian and help shape the future of scientific communications. \n

In the fast-changing world where our clients deliver life-changing medicines and technology, Cognite’s dynamic team drives our mission of bringing science to life. \n \n As an independent agency, we create clear, compelling communications, focusing on the transformative therapies that are inspiring the future of healthcare and the highly complex diseases they treat. \n \n \n Our Copy team enjoys independence and ownership across a wide variety of projects. Supported by our expert Editorial and PromoMats teams, our writers are able to truly focus on turning complex science into compelling stories and brand messages. \n \n We are looking for a Senior Medical Writer or Principal Medical Writer to join our growing team. You will be responsible for: \n \n\n • Developing an in-depth scientific knowledge of allocated accounts and using this to shape the communications for our clients’ brands\n, • Taking the lead on scientific discussions with medics and external experts, proactively making suggestions that are valued by the client\n, • Developing content for a full range of projects and taking wider responsibility for work on allocated accounts by overseeing, briefing and reviewing the work of other writers\n, • Contributing to the scientific strategy and ensuring messaging and content are aligned with the overall brand strategy\n, • Collaborating with internal colleagues, including account managers, creatives, editors and medical strategists, to ensure the seamless delivery of projects\n, • Sharing knowledge and expertise, as well as providing expert advice and guidance on brands and therapy areas to internal stakeholders\n, • Staying updated on industry trends, guidelines and best practices to inform and enhance the quality of our medical writing\n, • Contributing to business growth by proactively identifying opportunities, attending pitches and contributing to written proposals\n\n \n With a deep interest in science and medical communications, we believe someone with the following experience could be a good match for this role: \n \n\n • An undergraduate degree in a relevant science (essential) or a postgraduate qualification or PhD (desirable)\n, • Proven experience in medical writing within a medical communications agency or similar environment\n, • Excellent written and verbal communication skills\n, • Ability to work both independently and collaboratively in a fast-paced environment\n\n \n Cognite’s agency values – Everyone matters; Science at the heart; Entrepreneurial Mindset; True partners; and Doing the right thing – shape how we work every day. We believe every individual can make a positive difference; we put science at the core of everything we do; we embrace curiosity and courage to find solutions; we build lasting partnerships focused on shared goals; and we act with integrity and inclusivity in all our interactions. \n Our benefits include: \n\n • Discretionary company bonus and incentive schemes\n, • Hybrid working (home-based + co-working space in Holborn, Central London)\n, • Private healthcare\n, • Frequent social and team events\n, • 24 days’ holiday + bank holidays\n, • Company closure between Christmas and New Year\n\n If you are passionate about bringing science to life, then we would love to hear from you. \n

\n Integration Engineer, Enterprise Services, Google Cloud\n Location: London, UK; Paris, France \n Google Enterprise Services leads the deployment of advanced accelerated computing systems, helping global enterprises architect and implement massive‑scale infrastructure across on‑premise, hybrid and cloud environments. Key Responsibilities\n \n • Work directly with Google’s most strategic customers on infrastructure projects that transform their business, providing consulting, program management and technical expertise on customer engagements.\n, • Manage and deliver successful implementations of cloud solutions, becoming a trusted advisor to decision makers throughout the engagement.\n, • Propose solution architectures and manage the deployment of cloud‑based distributed virtualized infrastructure solutions according to complex customer requirements and implementation best practices.\n, • Work with internal specialists, product and engineering teams to package approaches, best practices and lessons learned into thought leadership, methodologies and published assets.\n, • Interact with sales, partners and customer technical stakeholders to manage project scope, priorities, deliverables, risks, issues and timelines for successful client outcomes.\n, • Travel up to 30% of the time to customer sites and facilities.\n Qualifications\n \n, • Bachelor’s degree in Science, Technology, Engineering, Mathematics or equivalent practical experience.\n, • 6 years of experience in technical solution delivery and project management.\n, • 3 years of experience with AI/ML infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow).\n, • Experience using Bash.\n Preferred Qualifications\n \n, • Master’s degree or PhD in Computer Science, Engineering or a related field.\n, • Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch or OpenXLA.\n, • Experience in one or more of the following areas: DevOps, Security, SRE.\n, • Experience in one or more of the following areas: Data Center Infrastructure, Networking, Compute, Storage.\n, • Customer‑facing migration experience, including service discovery, assessment, planning, execution and operations.\n Compensation and Benefits\n Individual pay is determined by factors including job‑related skills, experience and relevant education or training. \n France: €106,000 – €109,000 (EUR) + 15% bonus target + equity + benefits. EEO Statement\n Google is a proud equal‑opportunity employer. We are committed to building a workforce that reflects the communities we serve, creating a culture of belonging and providing equal employment opportunity regardless of race, color, religion, gender, sexual orientation, national origin, disability, age or other protected class. For more details, see Google’s EEO policy. \n #J-18808-Ljbffr

About the Company \n We are seeking highly qualified PhD holders, postdoctoral researchers, and experienced researchers for international Talent Programs supporting excellence in frontier science, advanced technologies, and emerging industries at leading universities, research institutions, and innovation platforms in China. \n About the Role \n The Talent Programs are major initiatives dedicated to advancing global scientific innovation and fostering research excellence. They support outstanding researchers in collaboration with top universities, research institutes, innovation centers, and enterprises in China, providing strong institutional backing and long-term development opportunities. \n Responsibilities \n\n • Conduct high-quality research aligned with institutional and program priorities\n, • Lead or contribute to major research projects\n, • Publish in reputable international journals\n, • Collaborate with domestic and international research teams\n, • Contribute to academic development and innovation initiatives\n\n Qualifications \n\n • PhD degree (required for all program categories)\n, • Relevant research or professional experience preferred\n, • Strong publication record or notable technological achievements\n, • Ability to work independently and in multicultural environments\n, • Strong academic writing and communication skills\n, • STEM background preferred\n\n Required Skills \n\n • PhD degree\n, • Strong publication record\n, • Ability to work independently\n, • Strong academic writing and communication skills\n\n Preferred Skills \n\n • Relevant research or professional experience\n, • STEM background\n\n Pay range and compensation package \n\n • Experienced Researchers: ~USD 300,000 total support\n, • Early Career Researchers: ~USD 270,000 total support\n, • Postdoctoral Talent: ~USD 250,000 total support\n, • Up to ~USD 100,000 in additional research funding for exceptional candidates\n, • Competitive annual salary (~USD 50,000–250,000)\n, • Housing assistance or move-in-ready accommodation\n, • Healthcare, childcare, and full social security benefits\n, • Long-term multiple-entry visas\n, • Support for building research teams and laboratories\n\n Equal Opportunity Statement \n We welcome applications from qualified candidates of all backgrounds and are committed to fair, inclusive, and non-discriminatory recruitment practices in accordance with applicable laws and regulations.

Job Title: Research Engineer \n Location: London, Kings Cross \n Remuneration: £54.81 per hour \n Contract Length: 6 months \n \n Responsibilities: \n\n • Conduct cutting-edge research to push the boundaries of machine learning systems.\n, • Design innovative methods, tools, and infrastructure to enhance large language models.\n, • Collaborate with researchers and cross-functional partners, effectively communicating research plans, progress, and outcomes.\n, • Gather and synthesise requirements to create a compelling feature roadmap.\n, • Work closely with the engineering team to deliver code and practical solutions.\n, • Publish research findings and contribute to the development of impactful products for our client.\n\n \n Minimum Qualifications: \n\n • Hands-on experience in machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.\n, • Proven experience in developing machine learning models at scale, including querying and post-training of large language models.\n, • Proficiency in Python programming and familiarity with frameworks like PyTorch.\n, • Experience executing complex experiments with large AI models and datasets.\n, • Ability to translate research insights into actionable business recommendations.\n, • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.\n\n \n Preferred Qualifications: \n\n • Direct experience in generative AI and large language model research.\n, • PhD or research-focused Master’s degree in machine learning or related areas.\n, • Background in physics or mathematics is a plus.\n\n \n Join our client’s AI research team and help build agents for machine learning! 🚀 You’ll collaborate with top researchers and engineers, working on various streams of exciting projects. If you have a strong scientific mindset, excellent engineering skills, and a passion for AI, we want to hear from you! 🌟 \n \n If you're motivated, eager to learn, and ready to make a significant impact, apply today! 🔍💻✨ \n \n Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

We're privileged to be helping the UK's leading energy technology platform to hire their first Head of Applied AI Research. \n \n The energy grid is one of the most complex, data-rich, highest-stakes systems on the planet. Our client has built the operating system for it. \n \n You've likely heard of them through their flagship client, who powers 40% of the UK energy market. They process 15 billion data points daily across 70 million households worldwide, hold $500m in contracted ARR, and are expanding rapidly across Europe, Australia, Japan and the US. \n \n They are, by any measure, the leading AI-driven energy technology platform in the world. \n \n They are now building their applied AI research function from scratch, and they need a technical leader to build it with them. \n \n THE ROLE \n Reporting directly to the Chief AI Officer, the Head of Applied AI Research will shape the company's AI research agenda, build and lead a team of applied AI researchers, and drive the creation of proprietary foundation models for energy. You will work at the intersection of frontier research and real-world product impact, partnering with product teams to translate research into commercial advantage, and contributing to M&A and strategic technology decisions at the executive level. \n \n This is not a publications role. It is a role for someone who wants to do serious science and see it matter. \n \n WHAT YOU BRING \n\n • PhD in Machine Learning from a leading research institution\n, • 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data\n, • Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning\n, • Experience with agent frameworks, tool-use planning and workflow orchestration\n, • Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow)\n, • Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails\n, • The ability to influence at exec level and mentor senior technical talent\n\n \n Energy domain experience is a nice-to-have, not a requirement. \n \n WHAT'S ON OFFER \n\n • Base salary £200,000 - £300,000\n, • Significant equity package\n, • Flexible hybrid working\n, • 10% pension matching\n, • 16 weeks full-pay maternity leave, 12 weeks partner leave\n, • Private health insurance, L&D budget, flexible holiday policy\n\n \n \n *THIS IS A HYBRID ROLE THAT CAN BE BASED IN LONDON, PARIS or NYC. WE ARE HAPPY TO ACCEPT APPLICATIONS FROM FOREIGN CANDIDATES WHO MEET ALL THE REQUIREMENTS* \n \n \n ABOUT HIGHER \n Higher is a specialist AI executive search firm. We work exclusively with companies building at the frontier of AI and deep tech. \n \n This search is being conducted confidentially on behalf of our client. To be considered, please apply or reach out directly to Kelly Gauthier at kelly@highersearch.co. \n

\n We are seeking a Principal Research Scientist to help define and accelerate our long‑term machine learning research agenda. Prior finance experience is not required. The Role\n This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. \n You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. \n Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. Responsibilities\n \n • Shape the long‑term machine learning research agenda within Systematic Equities.\n, • Identify and translate advances from frontier ML research into practical opportunities.\n, • Conduct original research and develop proof‑of‑concept solutions where appropriate.\n, • Advise and mentor quantitative researchers on methodology, experimentation and research direction.\n, • Help guide future investments in research tooling, infrastructure and compute capabilities.\n, • Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR.\n, • Contribute to publication efforts where appropriate and consistent with intellectual property considerations.\n Skills & Experience\n \n, • PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline.\n, • Outstanding academic credentials and a strong publication record in leading research venues.\n, • Current or recent experience in a faculty‑equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist.\n, • Deep expertise in modern machine learning and strong awareness of emerging research trends.\n, • Experience influencing research direction, mentoring researchers, or leading research initiatives.\n, • Strong programming skills and experience with modern machine learning frameworks.\n, • Excellent communication skills and the ability to collaborate across disciplines.\n What We Offer\n \n, • The opportunity to influence the future of machine learning at one of the world’s leading trading firms.\n, • Access to exceptional datasets, infrastructure and large‑scale compute resources.\n, • Continued engagement with the academic community through conferences, collaborations and publication opportunities.\n, • A collaborative environment where research can move rapidly from idea to impact.\n, • Competitive compensation that reflects both scientific excellence and commercial impact.\n \n #J-18808-Ljbffr

Senior Researcher – Real Estate Climate Risk \n Nice (France) or London (UK) | \n Permanent (CDI) | R&D \n \n Role \n \n Join an innovative climate research institute dedicated to advancing the understanding and application of climate risk assessments, developing innovative methodologies. This is a position for a researcher who wants to do both: publish rigorous, peer-reviewed work and see it shape the way financial institutions actually price and manage climate risk. \n \n At the EDHEC Climate Institute (ECI), you will be the lead architect of our climate risk methodology for real estate, a growing priority for lenders, insurers, and long-term investors navigating a rapidly changing regulatory and physical landscape. You will define how ECI approaches the real estate sector, build the analytical frameworks that underpin our tools and client deliverables, and publish the work that establishes ECI's intellectual leadership in this space. \n \n The ideal profile has a strong research foundation at PhD level combined with meaningful exposure to how real-world financial institutions, consultancies, or real estate operators actually use (and misuse) quantitative risk frameworks. If you have been looking for a position that bridges rigorous academic output with genuine market impact, this is it. \n \n Responsibilities \n \n Build ECI's real estate climate risk methodology Design and lead the development of integrated frameworks to assess climate-related financial risk in real estate, covering both transition and physical dimensions. This means understanding the risk transmission channels from hazard or policy shock, through asset-level physical and financial vulnerability, to portfolio-level financial outcomes and translating that chain into models that are both analytically sound and operationally usable by financial institutions. The physical and transition risks shocks will be provided by other team members, so what is required is a deep understanding of how to integrate them. \n \n Anchor methodology in real estate financial fundamentals Your framework must speak the language of real estate finance. That means grounding assessments in how climate variables, energy costs, retrofit CapEx, stranded-asset risk, insurance availability, regulatory compliance costs, flow through to valuation, LTV, PD/LGD, and broader portfolio risk metrics. Financial model literacy applied to real estate is central to this role. \n \n Develop and adapt quantitative tools Adapt and extend models relevant to the built environment (e.g., CRREM, building archetype/stock models, LCA frameworks) with a focus on understanding the conceptual architecture behind them, the assumptions, boundary conditions, and transmission mechanisms, rather than applying them as black boxes. Integrate EPC/energy label datasets; assess coverage and quality; propose calibration and substitution strategies. Build reproducible, well-documented pipelines. \n \n Publish and establish intellectual presence Publish in peer-reviewed scientific and finance journals. You will also contribute to conferences, policy forums, and industry workshops to develop ECI's profile in this space. \n \n Be the real estate expert within ECI's broader research ecosystem Work in close collaboration with ECI's other research teams; including climate scenarios, geo-sectoral physical risk, and regulatory intelligence; to integrate real estate perspectives into cross-cutting tools and products. You will be the go-to expert for real estate within the institute, contributing to ECI's flagship tools and shaping how real estate risk is represented across our research agenda. \n \n Engage with the financial industry Work directly with financial institutions, real estate operators, and regulators to align ECI's methodologies with evolving regulatory requirements (SFDR, CSRD, EBA guidelines) and practical decision-making workflows. \n \n What We Are Looking For \n \n Background and training A PhD (or Master's with equivalent research depth) in a quantitative field with strong relevance to the real estate sector and the quantification of its underlying financial risks. We are specifically interested in profiles that combine academic rigour with real-world exposure; whether through PhD research conducted in partnership with industry, post-doctoral work in an applied setting, consultancy experience alongside publication activity, or a transition from practice back into research. \n \n Real estate financial modelling Solid understanding of how real estate assets are valued and financed: DCF and income capitalisation approaches, LTV and debt service coverage ratios, PD/LGD frameworks, and how physical or regulatory shocks transmit into these financial metrics. \n \n Understanding of climate risk transmission in the built environment Conceptual fluency with how both transition and physical climate risks propagate through real estate assets. On the transition side: how carbon pricing, energy performance regulations, and evolving market preferences interact with operating costs, asset values, and financing conditions. On the physical side: how hazard frequency/severity translates into damage, insurance cost, and asset obsolescence. Deep prior specialisation in one dimension is fine; the capacity to reason rigorously about the other is required. \n \n Quantitative and technical skills (recommended) Python (or equivalent) for model development and data analysis. Experience working with building-level or portfolio-level datasets (EPC registries, energy audit data, transaction/valuation data). Familiarity with retrofit economics, abatement cost curves, sequencing of measures, technical/economic feasibility assessment; is a plus. Prior work with CRREM, building archetype models, though what matters most is the ability to understand and critically evaluate the assumptions behind such tools. \n Communication and collaboration Ability to write clearly for both academic and practitioner audiences; from methods papers to client-facing notes. Comfort working across disciplines (climate science, engineering, economics, data engineering, finance). Track record of, or clear appetite for, collaborative research involving external partners or industry stakeholders. \n About EDHEC Climate Institute \n \n \n Institutional context \n \n \n Operating from campuses in Lille, Nice, Paris, London and Singapore, EDHEC Business School is ranked in the top ten European business schools. With more than 110 nationalities represented in its student body, some 50,000 alumni in 130 countries, and learning partnerships with 290 institutions worldwide, it is truly international. \n \n EDHEC Business School has been recognised for over 20 years for its expertise in finance. Its approach to climate finance is founded on a commitment to equipping finance professionals and decision-makers with the insights, tools, and solutions necessary to navigate the challenges and opportunities presented by climate change. EDHEC has developed a significant research capacity on the financial measurement of climate risk, which relies on the best researchers in climate finance, and brings together experts in climate risks as well as in quantitative analysis. \n \n The DNA of EDHEC's work has also resided, since its origin, in the ability to generate business ventures, by encouraging spin-offs based on the research work of its teams. EDHEC is currently involved in 3 ventures: Scientific Portfolio, SIPA Metrics, and Scientific Climate Ratings. \n \n Mission and ambitions \n \n The EDHEC Climate Institute (ECI) focuses on helping private and public decision-makers manage climate-related financial risks and make the most of financial tools to support the transition to a low-emission economy that is more resilient to climate change. \n \n It has a long track record as an independent and critical reference centre in helping long-term investors to understand and manage the financial implications of climate change on asset prices and the management of investments and climate action policies. \n \n The institute has also developed an expertise in physical risks, developing proprietary research frameworks and innovative approaches. ECI is also conducting advanced research on climate transition risks, with a focus on supply chain emissions (Scope 3), consumer choices, and emerging technologies. \n \n As part of its mission, ECI collaborates with academic partners, businesses, and financial players to establish targeted research partnerships. This includes making research outputs, publications, and data available in open source to maximise impact and accessibility. \n \n Attractive salary and bonus, healthcare and pension plan coverage. \n The salary will be determined according to EDHEC's pay scale, the candidate's qualifications and experience. \n \n To apply, please send your CV and a cover letter in pdf format \n Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 21 days, please consider your application has not been successful on this occasion.

Join one of the world's leading systematic trading firms, where research is the competitive advantage. \n \n Unlike many larger firms, they keep research at the centre of everything they do. They deliberately remain small, highly collaborative and research-led, giving researchers genuine ownership from idea generation through to live deployment. If you're motivated by solving difficult problems rather than navigating bureaucracy, this is an environment worth exploring. \n \n The Role \n You'll conduct fundamental quantitative research to discover new sources of alpha in global financial markets. You'll remain close to your research, from ideation to deployment to iteration based on real-world performance. This is a highly research-driven environment where new ideas and failure are welcomed! \n \n The firm is particularly keen to speak to both seasoned Quant Researchers and AI Researchers who are keen to move into Quantitative Finance. \n \n Some (but not all) of the topics they are interested in include: \n\n • Statistical arbitrage\n, • Reinforcement learning\n, • Foundation models\n, • Predictive modelling\n, • Time series modelling\n, • Optimisation\n\n \n What They're Looking For: \n They are happy to hire people who are already Quant Researchers or those who are in AI Research but are keen to move into Quant Finance. For the latter, they would expect: \n \n\n • PhD or Master's degree in Statistics, Maths, or other relevant topics\n, • Top-tier publications (NeurIPS, ICML, ICLR, AISTATS etc.)\n, • Track record of solving difficult problems, particularly in noisy, high-dimensional environments.\n, • A genuine passion for the world of Quant Finance\n, • A solid understanding of core topics/terminology\n\n

PE Global are currently recruiting for a Medical Communications Writer for an initial 6 contract role with a leading multinational Pharma client based in London – hybrid with 2 days per week in the office. \n Only PAYE, £30 p/h \n \n \n Job Responsibilitie \n\n • sDemonstrate a command of assigned therapeutic areas and expertise with assigned products\n, • .Research and write original content for publications activities (primary and review manuscripts, abstracts, posters), slide presentations and other materials\n, • .3Prepare meeting materials for satellite symposia (agenda, slide content, speaker briefings etc), and reports from advisory boards and other internal or external meetings\n, • .Develop content that is scientifically accurate, evidence-based, grammatically accurate, referenced using appropriate sources, and consistent with quality standards for author review, customer review as appropriate, and scientific peer review\n, • .Perform internal scientific reviews to ensure quality in line with the scope and scientific messages\n, • .Mentor internal team members and help onboard new joiners\n, • .As needed, perform quality control (QC) checking / proof reading of the above-mentioned documents to meet stakeholder expectations\n, • .8Clearly communicate medical scientific concepts in a condensed, audience-appropriate way\n, • .Follow all internal processes and procedures with regard to workflow, development of deliverables, and adherence to industry best practices, including GPP\n, • .Demonstrate the flexibility/adaptability necessary to function on different therapeutic teams as needed and to work on projects across multiple brands at any given time\n, • .Provide input and aid in troubleshooting/problem-solving\n, • .Participate in strategic and tactical publications planning and related research\n, • .Maintains records for all assigned projects including archiving in line with global SOP\n, • sMaintains audit, SOP and training compliance\n\n \n . \n Requiremen \n\n • tsMinimum science degree or equivalen\n, • t.Desirable: MSc, PhD, PharmD, or\n, • MDMinimum of 5 years’ experience in medical communication\n, • s.Medical writing experienc\n, • e.Good understanding of industry work processes for publication\n, • s.Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook\n\n \n ). \n Interested candidates should submit an updated \n \n CV. \n *Please note our client cannot assist with any visa sponsorship and candidates must have the correct visa to live and work in U \n K*