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Lead Data Scientist, AI/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities—guiding small, high performing teams as they deliver impactful AI initiatives. You’ll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will · Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. · Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. · Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. · Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). · Operationalise ML solutions using MLOps practices—CI/CD for models, reproducible training, and automated deployment. · Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). · Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. · Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. · Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. · Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. · Think strategically about data collection, metric design, and ethical AI—driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered • 5+ years of hands‑on experience in statistical methods and ML engineering across the end‑to‑end lifecycle (data prep → modelling → deployment → monitoring)., • Proficiency in Python and strong command of ML/DS libraries (scikit‑learn, pandas, numpy, TensorFlow/PyTorch)., • Experience working with GCP, AWS and Azure data services., • Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment)., • Ability to communicate technical insights clearly to non‑technical audiences; strong storytelling with data., • Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners., • Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences)., • Working knowledge of cloud‑native software architecture, service design/design thinking, and version control (Git)., • Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks)., • Background in real‑time analytics and event‑driven architectures., • Prior consulting experience (client‑facing, pre‑sales, solutioning) and domain expertise.

Data Scientist Placement Programme - No Experience Required\n\nOur training will help you kick-start a new career as a Data Scientist.\n\nWe are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.\n\nWhether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.\n\nThe traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months:\n\nStep 1 - Full Data Science Career Training\n\nYou will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study.\n\nThis step will fully prepare you for the professional projects that you will undertake in step 4 of this process.\n\nAt the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2.\n\nStep 2 - CompTIA Data+\n\nCompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd.\n\nStep 3 - Official Exam\n\nThe CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online.\n\nStep 4 - Practical Projects\n\nNow that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned.\n\nWhilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage.\n\nYour Data Science Role\n\nOnce you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.\n\nAt a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nRead through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.\n\n‘Please note that this is a training course and fees apply

Please note this is a training programme with career placement and fees apply*\n\nIf you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you?\n\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\n\nAll you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career.\n\nWe help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career.\n\nWe ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles.\n\nFinally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers.\n\nWe have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme.\n\nThe programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer.\n\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week.\n\nStage 1 – Learn HTML and CSS (*up to 12 weeks)\n\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n\n * HTML Essentials (*up to 6 weeks)\n\n * CSS Essentials (*up to weeks)\n\nTraining is delivered through multimedia rich video tutorials, presentations and quizzes using an online portal enabling you to study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor who will work with you 1-2-1 or in group sessions to provide additional training and support.\n\nOnce the HTML & CSS courses are complete, your trainer will move you forward to the next stage.\n\nStage 2 – Additional Online Training (*up to 12 weeks)\n\nThe second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead.\n\n * Learn the Command Line (*1.5 weeks)\n\n * Learn Git & GitHub (*1.5 weeks)\n\n * Learn JavaScript (*1.5 weeks)\n\n * Learn Python 3 (*1.5 weeks)\n\nJavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language in building your programming and development foundation.\n\nPython is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity.\n\nStep 3 - Building a Portfolio Website Project (1 week)\n\nYour tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career.\n\nIn addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended.\n\n * AWS Certified Cloud Practitioner\n\n * Microsoft Certified: Azure Administrator Associate\n\nStep 4 – Entry Level Coding placement\n\nWe will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have.\n\nThere are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: -\n\n * Junior Developer\n\n * Website Support Developer\n\n * Junior Web Developer\n\n * Content Editor\n\n * Wordpress Developer\n\n * Junior Software Developer\n\n * Junior Front or Back End Development\n\n * Development Support\n\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. We also have a 4.9 Trustpilot rating and numerous testimonials available on our website.\n\nOur money back Job Guarantee\n\nDue to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\n\nQualification for this programme?\n\nTo ensure we maintain a high level of support for our candidates, we limit spaces to this programme.\n\nApply before the deadline and one of our consultants will speak with you to check your eligibility for the programme

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on ___ and ___! Your New Role… We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio. This role sits at the intersection of statistical modelling, insight generation and commercial application. The successful candidate will be the analytical authority on how perception, brand and influence data are modelled, interpreted and translated into robust, defensible insight for clients and internal stakeholders. This is a hands-on senior analytics role, requiring deep expertise in regression and multivariate modelling, alongside the ability to clearly explain methodology, guide junior analysts and ensure outputs are both statistically sound and commercially relevant. Your Role Accountabilities… * Own the end‑to‑end analytical approach for a flagship perception and influence measurement solution, from model design through to delivery. * Design, run and evolve regression, multivariate and factor‑based models to identify and quantify the drivers of perception and influence. * Partner closely with commercial, insight and product teams to shape analytical approaches that address real business questions. * Support sales and account teams by clearly articulating what the analytics can (and cannot) demonstrate. * Provide technical leadership and mentoring to analysts working on perception and influence analytics. * Raise overall analytical capability through coaching on statistical thinking, modelling techniques and interpretation. * Contribute to hiring, onboarding and skills development within the analytics function as required. Qualifications & Experience… * Strong experience in advanced analytics, statistical modelling or quantitative research roles. * Deep, hands-on expertise in regression analysis and multivariate statistical techniques. * Strong working knowledge of R and/or Python for statistical analysis. * Experience working with survey, perception, attitudinal or brand-related data. * Experience in media, marketing effectiveness, brand measurement or advertising analytics. * Familiarity with index construction, weighting frameworks or composite metrics. * Experience working with large, multi-market datasets. * Exposure to experimental design or causal inference approaches. #CCE Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at ___ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our ___ for instructions to submit your request.

Client Research Manager / Senior Research Manager Up to £55,000 Hybrid, 2/3 days per week in London We are working with a large, well-established brand and market research consultancy. They specialise in quantitative brand research and are looking to hire a Client Research Manager to support and grow key client accounts. The role • Lead quantitative brand research projects end to end, • Deliver brand tracking, brand perception, positioning, awareness, and audience insight work, • Support the development and evaluation of marketing campaigns, • Manage client relationships and present insights clearly, • Line manage at least one team member, with scope to mentor more junior researchers, • Work within mixed-methods projects, with a strong quantitative focus About you • Strong background in quantitative market research, ideally agency-side, • Proven experience in brand research and brand tracking, • Comfortable with brand metrics, segmentation, and audience insight, • Experience managing or mentoring at least one person, or ready to step into management, • Typically 4 to 6 years’ experience, ideally from a recognised research agency, • Strong Excel skills and experience using SPSS, • Experience with R or Python for survey data is a plus What’s on offer • Salary up to £55,000 depending on experience, • Hybrid working, with 2 to 3 days per week in Warwick, • Clear progression path, with promotion opportunities to Client Director level Apply via the link if interested!

I am looking to speak with qualified Pricing Actuaries for a Cyber Pricing position at a global (re)insurer. You will develop and maintain pricing models as well as perform portfolio review and pricing analysis. You will also work very closely with underwriters and provide support to junior members of the team. You must have previous pricing experience within speciality markets and have completed the actuarial exams. You will need to be a confident communicator and have strong analytical skills, previous experience with software/languages such as Python, Access, SQL and R. The role requires 3 days a week in the London or Birmingham office and offers up to £110,000. Please reach out to

Job Title: Junior HPC Systems Engineer Client: Elite Technology Firm Salary: Up to £100k Base + Exceptional Bonus Location: London (Hybrid) Sells: • Build and scale one of the most advanced research computing environments in the industry., • Huge technical ownership, exceptional resources, a genuinely collaborative culture, and stunning London offices with hybrid working, • Best benefits in the industry (30 days hols, all certs/further edu paid for, outstanding work life balance) An Elite Technology Firm is expanding its HPC infrastructure team and looking for exceptional Systems Engineers who thrive on solving complex problems across large-scale Linux environments. Role • Building out a large-scale Linux-based research compute environment with an unlimited budget Working on performance and availability issues across distributed systems, • Optimising high-performance storage platforms, • Work closely with developers and researchers to improve system performance, • Design and implement next-generation compute and storage infrastructure, • Working with a DevOps mindset Skills You have an interest or experience in the following (even if just 6 months): • Strong Linux/HPC Engineering background with a DevOps mindset, • Experience with distributed resource management systems (Kubernetes, Slurm etc.), • Experience with high-performance storage technologies (Lustre, Weka, GPFS, Ceph, VAST etc.), • Strong scripting ability, ideally Python, • They're looking for someone passionate about tech in and outside of work Sells • Flexible hours/work options, • The chance to work with the most cutting-edge technology in the Industry, • Technologists only report to technologists, • Techies treated as top commodity so ‘spoiled’, • Small team size in a growing company so an ability to make a significant impact, • Constantly exciting greenfield projects in an ever-evolving environment, • No red tape, • Beautiful offices

Who we are looking for We are seeking an experienced Senior Manager OR Director (SVP to Director Level) to join our Quantitative Finance advisory practice, focused on delivering quantitative solutions to clients. In this role, you will leverage your deep quantitative expertise to advise clients on derivatives modelling, risk and valuation methodologies, contributing directly to their strategic decision-making and business growth. As part of your responsibilities, you will: • Lead small and large multidisciplinary engagement and manage client relationship, • Design and develop quantitative models and analytics tools (e.g. derivatives pricing, market data methodologies, XVA, capital models, market and counterparty credit risk modelling), • Provide thought leadership in quantitative methodologies, pricing techniques, risk and valuation frameworks and industry best practices, • Lead project teams, mentor and supervise junior team members, ensure high-quality deliveries and adhere to model governance upmost standards, • Support content generation and business development initiatives, including identifying new opportunities and developing proposals Your competences Technical: • Post-graduate degree in mathematical finance, science or maths from a top tier university, • Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office, Model validation or Risk functions within financial services, • Solid background in stochastic calculus and data science including AI/ML techniques, • Experience with flow and exotic products in one or more asset classes, • Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development processes and tooling Behavioural: • Strong communication, team spirit and ability to collaborate with relevant stakeholders (e.g. Trading/Structuring/Technology/Risk/Finance), • Strong leadership and drive capabilities, • Excellent problem-solving capabilities and analytical thinking Benefits & Inclusion We offer a competitive UK-aligned package, including: • Competitive salary and performance bonus, • Private medical insurance, including mental health support, • Pension, • 25 days annual leave, • Schemes: Cycle to work, Perks at work, Home and tech, • Training and development opportunities We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.

Pricing Analyst London, £40,000 to £45,000 plus benefits A great opportunity to join a high‑impact pricing function where your analysis will directly shape commercial strategy. This role is ideal if you enjoy using Python and data-driven thinking to influence decisions in consumer finance. The Company They are a data-led consumer finance organisation with a strong analytical culture. The pricing team plays a key role in how they set strategy, working closely with risk, product, and commercial stakeholders. You will join a supportive environment with room to grow and take ownership. The Role • Optimise pricing strategies and deliver clear, actionable insights., • Build and maintain unit economics and cashflow models., • Support pricing tests, performance monitoring, and scenario analysis., • Contribute to commission strategy and commercial decision making., • Present findings to teams across the business and support junior analysts. Your Skills and Experience • Strong analytical capability and commercial awareness., • Confident using Python, SAS or R for analysis; SQL beneficial., • Experience in pricing, credit risk, or consumer lending analytics., • Ability to turn complex data into clear narratives and recommendations. What They Offer • £40,000 to £45,000 plus benefits including bonus and pension, • Hybrid working with flexibility and strong team exposure., • A role with real ownership, visibility, and technical development.

Senior Data Engineer Location: London (Hybrid) Function: Data Engineering / Data Platform Salary: Up to £140,000 base + bonus + benefits About the Role Our client is a global commodities and energy trading firm operating at the intersection of quantitative research, technology, and trading. Following the recent acquisition of a major energy trading and technology business, the firm has significantly expanded its capabilities in renewable power optimisation, analytics, and physical gas trading across international markets. They are now hiring a Senior Data Engineer to join their Technology Data, AI & UX team in London. This team sits close to the trading floor and is responsible for building the data infrastructure that supports traders, quantitative researchers, and data scientists. The work focuses on building scalable pipelines, enabling real-time analytics, and delivering high-quality datasets used for predictive modelling, machine learning, and systematic trading strategies. This role requires someone who combines strong technical data engineering capability with commercial awareness, capable of working directly with front-office stakeholders and translating trading requirements into robust data solutions. What You’ll Be Doing • Building and maintaining high-performance data pipelines ingesting structured and unstructured datasets from a variety of internal and external sources., • Developing ingestion processes including scrapers, ETL pipelines, crawlers, streaming jobs, and services., • Cleaning, transforming, and enriching datasets to ensure high quality and usability across analytics and trading use cases., • Designing storage solutions across data lakes, databases, and analytical warehouses., • Delivering data internally via APIs, Python libraries, and direct database access., • Maintaining and optimising existing pipelines and databases used by trading and analytics teams., • Supporting data scientists and quantitative teams by enabling access to cloud resources, datasets, and internal Python tooling., • Contributing to the automation of post-processing tasks including prediction pipelines and visualisation workflows., • Collaborating directly with traders and front-office teams to develop data solutions for real-time analytics and trading decisions., • Maintaining documentation and knowledge bases around data sources, architecture, and pipelines. Ideal Background The successful candidate will bring strong hands-on data engineering experience and the ability to operate in a front-office, commercially focused environment. Core experience required: • Strong Python development, particularly for data ingestion, crawling, parsing, and transformation., • Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms., • Experience building production data pipelines in AWS cloud environments., • Familiarity with Docker containers and CI/CD pipelines., • Experience with Infrastructure as Code and deployment tooling such as CloudFormation or CDK., • Strong understanding of data pipeline design, performance optimisation, and data quality practices., • Experience working directly with front-office stakeholders such as traders, quants, or analysts., • Exposure to commodities, energy trading, or financial markets., • Experience supporting real-time or near-real-time analytics environments., • Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway., • Experience with big data technologies including Spark, Databricks, Hadoop, or Dask., • Familiarity with data visualisation tooling such as Plotly., • Experience mentoring junior engineers or leading technical initiatives. What You’ll Receive • Base salary up to £140,000 depending on experience., • Participation in a performance-based discretionary bonus scheme., • 25 days annual leave plus public holidays., • Comprehensive benefits including private medical, dental, life insurance, and strong pension contributions., • Access to training and development programmes to support ongoing technical growth., • The opportunity to work in a high-performing trading environment where technology directly impacts market decisions. Who Should Apply This role will suit a senior data engineer who enjoys operating close to the business, particularly in environments where data directly influences trading or commercial outcomes. Candidates coming from financial services, trading firms, hedge funds, energy markets, or high-performance data platforms will likely transition most easily, though strong engineers from other real-time data environments will also be considered. If you are looking to work on complex data challenges, collaborate with front-office teams, and build systems that power real-world trading decisions, this is a strong opportunity.

We are seeking a Senior Software Engineer to join a growing engineering team and help build scalable software systems that support cutting-edge research in biotechnology and life sciences. You will play a key role in designing and developing platforms that enable scientists, data engineers, and bioinformaticians to analyze complex biological data, accelerate drug discovery, and improve clinical research workflows. This role combines strong backend engineering, cloud infrastructure and data engineering, with an interest in working alongside scientists and research teams. Key Responsibilities • Design and develop scalable backend systems and APIs for scientific and clinical data platforms, • Build and maintain data pipelines for large biological and research datasets, • Collaborate with scientists, bioinformaticians, and data teams to translate research needs into software solutions, • Contribute to cloud infrastructure, system architecture, and performance optimisation, • Ensure high-quality code, testing, and CI/CD best practices, • Mentor junior engineers and support technical decision-making Required Skills & Experience • Strong programming experience in Python, Java, or Go, • Experience building backend services, APIs, and distributed systems, • Strong knowledge of cloud platforms (AWS, GCP, or Azure), • Experience with containerisation and orchestration (Docker, Kubernetes), • Experience with CI/CD pipelines and DevOps practices, • Strong understanding of databases and data pipelines (SQL, NoSQL, ETL systems), • Experience working with large-scale datasets

Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a DevOps/Site Reliability Engineer with experience managing complex infrastructure and deploying scalable, reliable systems. You are passionate about automation, cloud technologies, and continuous improvement. Must have: • Proven track record of managing cloud-based infrastructure (AWS, Azure, or GCP)., • Hands-on experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation., • Strong CI/CD pipeline design experience using tools like Jenkins, GitHub Actions, or GitLab CI., • Proficiency in scripting languages such as Bash, Python, or Go., • Experience with container orchestration tools such as Kubernetes, Docker Swarm, or HashiCorp Nomad., • Excellent problem-solving, communication, and collaboration skills. Nice to have: • Experience managing distributed systems, microservices, and event-driven architectures., • Knowledge of observability tools such as Prometheus, Grafana, ELK Stack, or Datadog., • Experience with security best practices, monitoring, and incident response., • Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR)., • Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: • Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries;, • Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do • Platform Operations (40%): Support the lifecycle of platform deployment, including provisioning, updating, monitoring, and scaling cloud infrastructure., • Automation & Tooling (40%): Design and implement CI/CD pipelines, deployment automation, and system monitoring solutions., • Technical Leadership & Documentation (20%): Create and maintain infrastructure documentation, contribute to technical blog posts, and mentor junior engineers. What we offer • Salary range of £50,000 to £85,000 depending on experience., • Development training and support to learn required technical skills., • Employee stock options., • New equipment: MacBook Pro, and work-from-home allowance., • Opportunities to attend technical conferences., • Flexible hybrid working environment, blending work from the office and home. Our hiring process • (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you., • (90 mins) Technical call with two Quaisr team members. We’ll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think!, • (45 mins) Online coding exercise (with a Quaisr team member on the call) working on a practical task related to cloud deployment or automation., • (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV to Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.

Main purpose of job: To design and develop modern cloud native software solutions using C# as a core, with a strong focus on AWS services and Python development. As part of a small, agile team, you will take ownership across the full software lifecycle — from requirements gathering and solution architecture to development, deployment, and operational support. You will play a key role in building and maintaining AWS based applications, automated CI/CD pipelines, and infrastructure as code deployments. Key tasks: • Develop web front-end and back-end applications using .NET and Python., • Write clean, maintainable, and efficient code across multiple languages., • Integrate internal and external systems, leveraging AWS tools (e.g., Lambda, Step Functions, API Gateway) and develop services to bridge differing platforms, • Maintain and support existing applications by monitoring performance, identifying issues, and implementing fixes or enhancements., • Work with business stakeholders to collect and document requirements, produce user stories, and estimate delivery effort., • Write test-driven code and implement automated testing within CI/CD pipelines., • Stay current with AWS innovations and evaluate new cloud technologies for relevance and potential adoption., • Collaborate with colleagues on software design, cloud architecture, and operational best practices., • Continuously upgrade your technical skills through training, certifications, reading, and hands-on experimentation with new tools and platforms., • Work closely with very small or ad hoc cross-functional teams, including designers, testers, and data engineers., • Make significant contributions to promote team collaboration and strengthen team member accountability. Mentor and manage junior members of the team. Key personal skills required: • Strong problem-solving capability with the ability to learn rapidly and work autonomously, • Good analytical, mathematical and organisational skills., • Drive and ambition to work in a delivery orientated environment., • Positive attitude and proactive mindset., • Adaptability and willingness to embrace change and new technologies. Key technical skills, knowledge and professional qualifications required: • Strong experience developing software in Python (Essential), C# (Essential) and using Visual Studio/DevOps/Git., • Experience with Infrastructure as Code (Terraform or AWS CloudFormation)., • Understanding of software development methodologies and architectural concepts (e.g., microservices, event-driven architectures, dependency injection, MVC/MVVM)., • Knowledge of relational and NoSQL databases (e.g., PostgreSQL, SQL Server, DynamoDB)., • Experience with scripting languages (PowerShell/Bash)., • Some scripting language skills. (PowerShell/bash), • Experience with multithreading, LINQ, Blazor. (Desirable), • Insurance or financial services industry knowledge is advantageous. Risk and Compliance Responsibilities • Ensure compliance with company and other relevant standards and regulations., • Ensure compliance with relevant PRA and FCA conduct rules., • Carry out all regulatory responsibilities assigned as part of employment., • Meet FCA/PRA prescribed responsibilities where applicable, as defined in any current Statement of Responsibilities., • Ensure compliance with assigned risk management responsibilities.

Business Director – Marketing Science (MMM) London (Hybrid: 2 days per week in office) £85,000 base + bonus & benefits DATAHEAD is partnered with a global marketing agency at the forefront of marketing effectiveness, econometrics, and advanced analytics. This is a senior, visible role for an established Marketing Mix Modelling / Marketing Science leader who wants real influence - with clients, teams, and product direction. The Opportunity This role sits at the intersection of strategy, analytics, and client leadership. You’ll act as a trusted advisor to senior marketers, owning complex MMM and marketing effectiveness engagements while shaping how analytics is embedded into decision-making across brands. You’ll lead from the front - commercially, technically, and intellectually - while mentoring analysts and helping evolve next-generation measurement products. What You’ll Be Doing • Own and grow senior client relationships as a Marketing Science lead, • Lead delivery of MMM / econometrics and marketing effectiveness programmes, • Translate complex analytics into clear commercial recommendations, • Partner closely with strategists and media teams to influence planning and optimisation, • Design, pitch, and deliver analytics-led solutions to senior stakeholders, • Contribute to the evolution of new analytics products and tools, • Line-manage and develop junior team members, • Play an active role in team initiatives, process improvement, and revenue growth What They’re Looking For This is not a hands-off role. You’ll be credible in the detail and confident in the boardroom. Core Experience • Director-level experience in Marketing Science / MMM / Econometrics, • Agency, consultancy, or in-house marketing analytics background, • Proven track record delivering analytics projects for senior clients, • Strong commercial and consultative mindset Technical Strength • Deep expertise in Econometric Modelling / Marketing Mix Modelling (essential), • Strong R skills for analytics and modelling, • Exposure to forecasting, experimentation (A/B testing), or ML in marketing contexts, • Familiarity with Python, SQL, or Shiny is a plus (not mandatory) Leadership & Communication • Confident influencing senior stakeholders, • Excellent storytelling with data — simplifying complexity, • Experience managing and developing analysts, • Comfortable working autonomously with minimal oversight Why This Role? • Senior, visible role in a globally recognised marketing environment, • Strong emphasis on effectiveness, innovation, and product evolution, • Hybrid working (2 days per week in a London office), • £85k base with bonus and benefits, • Backed by a leadership team that genuinely values analytics

Are you interested in speciality lines of business like Casualty, Motor, Financial Lines, Energy, Marine & Construction? Are you looking to take a step up in your pricing career? Are you excited by working with some of the best actuaries, data scientists and underwriters in the market? I am hiring a Pricing Manager for a leading insurer in their Commercial Lines Pricing Team spanning a range of products including Casualty, Motor, Financial Lines, Energy, Marine & Construction. The Role - • Delivering pricing and portfolio management solutions through data analytics and modelling, • Collaboration with underwriting functions to build, develop, document and maintain pricing tools, • Managing a team - supporting junior analysts with their personal development, • Ownership of technical price assumptions and input into market pricing decisions, • Pricing large individual accounts across multiple lines of business whilst tailoring your approach and pricing techniques to the unique specifics of these highly complex risks The Candidate - • 3-4+ years' experience gained in actuarial role - ideally commercial lines/London market, • Qualified actuary preferred but not essential, • Technical experience - MS Office suite, coding languages (R/Python, VBA, SQL), • Communication and interpersonal skills Location - London (2 days per week in office) Salary - £80,000 - £120,000 If this interests you or anyone in your network then please reach out -

We are partnering with a leading systematic investment team in London seeking an exceptional early-career Quantitative Researcher to join a high-performing, research-driven environment. This is a rare opportunity to work directly alongside experienced portfolio managers and researchers, contributing to live trading strategies from the outset. The team operates at the intersection of data science, financial theory, and advanced engineering, with a strong emphasis on original thinking and rigorous experimentation. The Opportunity From day one, you will be immersed in the research lifecycle—helping to generate, test, and refine alpha signals across liquid global markets. The role is designed for individuals who combine strong academic foundations with a genuine curiosity for markets and data. You will: • Develop and evaluate predictive signals using large, complex datasets, • Design and run robust backtests across multiple asset classes and time horizons, • Explore new modelling approaches, including statistical and machine learning techniques, • Work closely with senior researchers and developers to translate ideas into production, • Contribute to improving research infrastructure and data workflows Who They’re Looking For This role targets high-potential junior talent ready to step into a front-office research environment. You should meet one of the following criteria: • A Master’s graduate (from a leading/red-brick university) with relevant internship experience in quant research, trading, or data science, • Strong grounding in mathematics, statistics, physics, computer science, or a related field, • Proven programming ability (typically Python; C++ or similar is a plus), • Experience working with data—cleaning, analysing, and extracting signal, • A methodical, research-oriented mindset with attention to detail, • A genuine interest in financial markets and systematic trading Why This Role • Direct exposure to live trading strategies from an early stage, • Highly collaborative, intellectually rigorous team culture, • Meritocratic environment where strong ideas are quickly recognised and implemented, • Clear progression into a long-term research career within systematic investing Additional Requirements • Ability to start no later than September 2026, • Right to work in the UK (or ability to secure it quickly)

Job Title: Senior Quality Assurance Analyst Location: London We are hiring a Senior Quality Assurance Analyst to join our Trade & Transaction Reporting (TTR) Data Quality function. This is a key role focused on ensuring the accuracy, completeness, and integrity of regulatory reporting across MiFID II, EMIR Refit, SFTR, and REMIT. Working closely with Technology, Operations, Compliance, and Change, you will play a central role in strengthening the firm’s reporting control framework and supporting ongoing regulatory initiatives. Key responsibilities: • Lead data quality control reviews across all reporting regimes, • Perform in-depth root cause analysis and drive remediation activities, • Analyse large datasets to identify trends, anomalies, and data issues, • Validate reporting accuracy using vendor platforms such as Kaizen, UnaVista, DTCC, and TradeEcho, • Design and enhance MI, dashboards, and reporting metrics, • Support regulatory change initiatives and UAT participation, • Mentor junior analysts and contribute to team capability development, • Maintain high-quality documentation and improve QA frameworks We are looking for candidates with: • Strong experience in regulatory reporting data quality (MiFID II, EMIR, SFTR, REMIT), • A solid understanding of trade and transaction lifecycles and system flows, • Hands-on experience with QA vendor platforms, ideally Kaizen, • Excellent analytical, problem-solving, and stakeholder management skills, • A strong control mindset with exceptional attention to detail Technical skills: • Advanced Excel, with strong PowerPoint and Word skills, • SQL or Python is advantageous, • Familiarity with UnaVista, DTCC, and TradeEcho You will be detail-driven, proactive, and structured in your approach, with the ability to communicate effectively across teams and maintain accuracy under pressure.

ERS Forensic, Analytics Manager (108689) KPMG overview KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues we bring our creativity, insight and experience to solve our clients’ and communities’ biggest problems. We’ve been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility – through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. Summary of role purpose Investigations and Compliance (I&C) is part of KPMG’s Forensic practice. We help clients with their biggest and most challenging misconduct and integrity matters. Our work helps clients respond to regulatory enquiries, reduce reputational risk and prevent or reduce commercial loss by helping them to investigate and mitigate risks including fraud and misconduct, bribery and corruption, financial crime and much more. As a result of an exciting and increasing pipeline of fraud analytics work, we are looking for a Manager to help coordinate the strategic direction of a team deploying analytics (including fraud analytics routines and GenAI capabilities) over large complex financial and other datasets, both structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This role requires a deep understanding of both structured and unstructured data analytics techniques, coupled with strong leadership and communication skills. The successful candidate will be responsible for developing and implementing innovative analytical solutions leveraging a wide range of techniques, including through the use of SQL, Python, cloud computing and Generative AI (GenAI). You should expect to work on a variety of project-based work over a cross section of forensic work types, industries and geographies. Day to day activities will vary depending on the type and circumstances of each project. As a Manager, you will be expected to: • Manage the day-to-day delivery of client engagements, or components thereof, with a focus on using data analytics tools, developing one off or continuous solutions, to analyse large and complex datasets, both structured and unstructured, • Liaise and work directly with the client, the client’s external counsel, senior members of the KPMG team and other third parties as required, • Draft written deliverables and/or presentations, suitable for review by KPMG Partners and Directors, and ultimately for presentation to our clients, • Oversee and train junior colleagues, • Participate in business development activities including marketing, knowledge sharing and practice development You will be based in KPMG’s CSQ office working under KPMG’s hybrid working model of both home and office working. You will need to display a flexible attitude to working and be prepared to travel/work at other locations within the UK and internationally. The Person Essential: • Has a track record of developing a strategy to deploy data analytics tools across large data sets to identify markers of potentially fraudulent activity, and successfully deploying that strategy in a complex and dynamic investigations environment, • Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed, • Has experience in translating non-technical business requirements into analytical solutions, • Is a qualified accountant or understands double entry bookkeeping in the context of ERP systems, • Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques, • Works independently, resolving complex issues with little or no supervision or direction, • Has experience of managing a junior team to achieve the required objectives Skills we’d love to see/Amazing Extras: • Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern, • Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis., • Has experience of using data visualisation tools such as PowerBI, • Has experience with general ledger / ERP data as a prerequisite, with an experience of larger ERP systems such as SAP / Oracle a plus, • Has familiarity with Graph Analytics and tools/libraries such as Neo4j and NetworkX To discuss this or wider Consulting roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to Forensic talent across the country but our core hubs for this role are: • Birmingham, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Consulting we have a range of divisions and specialisms. Click the links to find out more below:

Senior Data Engineer London (2 days per week in office) £80,000 – £90,000 + 15–30% bonus] We are partnering with a prestigious financial services firm building one of the most advanced Snowflake platforms in the UK. This is a high-impact role within a modern data engineering function focused on scalable data, AI enablement, and platform innovation. You will join a growing team, working hands-on across Snowflake while helping mentor junior engineers and shape best practice across the platform. Role Overview • Build and optimise data solutions in Snowflake, • Develop pipelines using Python and SQL, • Work across Snowpark, SnowSQL, Dynamic Tables, Cortex, • Support AI use cases using Snowflake Cortex, • Ensure strong data quality and governance standards, • Mentor junior Data Engineers and support onboarding, • Contribute to testing and rollout of new platform capabilities Essential Skills • Strong hands-on Snowflake experience (deep expertise required), • Excellent Python and SQL skills, • Experience building scalable data pipelines, • Strong understanding of data quality principles, • Comfortable mentoring junior team members Desirable • Experience with Snowflake Cortex / AI features, • Exposure to financial services or financial data environments, • Understanding of financial modelling or external data products Why Apply • Work on a market-leading Snowflake platform, • Exposure to AI-driven data engineering (Cortex), • High-growth team with strong technical investment, • Opportunity to shape junior engineers and platform direction Unfortunately, this role does not offer sponsorship.

Job Description: Overview We are seeking an experienced and highly skilled Senior Dealing Analyst / Senior Trading Operations Analyst to oversee the daily activities of our trading desk. In this role, you will ensure smooth and accurate trade execution, optimise pricing strategies, monitor real-time risk, and maintain strong communication with liquidity providers and system partners. This position requires hands-on dealing experience, deep market knowledge, and the ability to lead, mentor, and support junior team members. You will also be responsible for improving dealing procedures and supporting the business through volatile markets, system challenges, and regulatory requirements. Key Responsibilities • Execute and supervise trade execution across multiple platforms with high speed and precision., • Manage real-time risk monitoring, exposure, and hedging activities while ensuring adherence to internal risk limits., • Optimise pricing, spreads, and liquidity sourcing by collaborating with liquidity providers (LPs) and system vendors., • Lead, guide, and train junior dealers to support their performance and development., • Investigate trade discrepancies, execution delays, and technical issues; implement timely solutions., • Perform detailed trade analysis and prepare reports to support management decision-making., • Handle crisis situations effectively, including market volatility, liquidity events, and system outages., • Support compliance, regulatory reporting, and audit requirements related to the dealing function., • 3–5 years of dealing or trading operations experience in a brokerage, FinTech firm, or financial institution., • Strong knowledge of FX, CFDs, indices, commodities, and derivatives markets., • Excellent understanding of liquidity management, risk management, and pricing mechanisms., • Experience with MT4/MT5 , liquidity bridges, hubs, and institutional execution systems., • Strong analytical and problem-solving skills., • Ability to work independently and remain composed under pressure, especially during high-volatility events., • Experience leading or mentoring a small team., • Advanced Microsoft Excel skills; experience with Python or Golang is a plus., • Understanding of regulatory frameworks (FCA, CySEC, ASIC, etc.)., • Flexibility to participate in rotational shifts when required. Job Type: Full-time Ability to commute/relocate: • London SW1H 0NB: reliably commute or plan to relocate before starting work (preferred)

PRICING MANAGER- INSURANCE £70-80K DEPENDING ON EXPERIENCE LONDON BASED This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be able to work across a range of pricing analytics projects with the rare opportunity to really take ownership of your work and make an impact. THE COMPANY Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. You’d be able to work in small team within this hands-on, analytical role whilst also taking on management of a couple of analysts. THE ROLE • End-to-end development of some of their first GBM models across the book, • Develop and implement pricing strategies to enhance business performance, • Analyse large sets of customer data to drive insight and commercial performance across their pricing quotes, • Share insight with the wider team and helping to improve profitability across the business, • Manage a team of 2, helping with their development and progression YOUR SKILLS AND EXPERIENCE: • Essential to have experience within UK general insurance, • Essential to have had experience building GLM pricing models, ideally using ML techniques, • Exposure to both retail and risk pricing, • Good knowledge of programming software such as SAS, SQL, Python or R, • Base salary £70-80,000 depending on experience, • Bonus, • Contributory pension scheme, • Work abroad scheme, • Private medical, • 25 days holiday HOW TO APPLY Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Mondrian Delta is working exclusively with a large financial services platform looking to add a talented Equity & Credit Analyst into it's public markets division. The hire will join an established platform in an exciting growth phase and play a vital part in it's expansion. The firm has made several key, cornerstone senior hires and is looking to build upon that with a Junior Analyst. The Analyst will cover public markets across a variety of sectors and encapsulate both bottom up and top down analysis. You will have exposure to a wide array of asset classes. The firm harness technology better than any other firm on the market and the potential applicant must have Python or wider coding expertise. The Analyst will come from a buy-side investing seat, sell-side research or investment banking. The firm's preferernce is for an Analyst with a quantitative degree.

About Us Hartree Partners is a global energy and commodities firm, founded in 1997. The firm is headquartered in New York and maintains offices in many financial centers around the world including London, Singapore, and Dubai. Hartree Partners LP is owned by the company’s Managing Partners, senior staff, and Oaktree Capital. Energy is always evolving. At Hartree Partners, we use our decades of experience in the physical and financial energy and commodities markets to explore the opportunities this evolution provides. We assist our customers in participating in new markets and navigating their complexities for maximum revenues at minimum risk. We provide a wide range of services to a substantial and diversified customer base that includes corporations, financial institutions, governments and individuals. Find out more about us by visiting our website at: Job Summary Hartree Partners is seeking a Trading Assistant on our Metals Trading team in London. This is an exceptional opportunity for a motivated junior with middle or back office experience to gain exposure to the metals markets within a dynamic global trading environment. The successful candidate will work closely with traders, originators, and other analysts to support commercial decision-making through market analysis, data management, and performance reporting. The ideal candidate will demonstrate strong analytical ability, attention to detail, intellectual curiosity, and a genuine interest in global commodities markets. Duties & Responsibilities • Sit directly on the trading desk alongside senior traders, gaining real-time exposure to risk-taking, position management, and market flow across global metals markets., • Own the trade lifecycle from your seat — book trades, manage confirms, and coordinate with middle office to keep the book clean and P&L accurate., • Build, maintain, and sharpen the desk's internal models, databases, and dashboards, • Push the frontier on AI/LLM integration: automate repetitive workflows, accelerate research pipelines, and build tools that give our desk an edge., • Produce daily and weekly market intelligence — concise, high-signal reports on price action, spreads, regional dynamics, and macro drivers, • Support live trading with ad hoc analysis: pricing structures, spread relationships, arb opportunities — whatever the desk needs, fast., • Liaise across middle and back office to ensure trade data, exposure reporting, and performance attribution are bulletproof., • Develop deep market knowledge across base metals, precious metals, and the macro landscape — geopolitics, supply chains, central bank policy — everything that moves markets. Education & Experience • Degree in engineering, mathematics, economics, finance, computer science, or a related quantitative field, • Experience in commodities, trading, or a market-facing analytical role preferred, but not essential, • Strong Python experience applied to real-world data analysis and tool building, • Advanced Excel skills for practical trading desk use

Risk Data Operations Manager (Director) – Asset Management / Investment Management £100K-£120K per annum plus bonus & Benefits Our client is a leading Asset Management company and is currently looking for a data expert in the domain of portfolio risk analytics to lead a Risk Platform Operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction are delivered consistently, accurately and on a timely basis. The team are the stewards of risk analytics data and focus on quality control of all data that feeds into portfolio risk analytics, including security factor exposures and proxies, factor returns and covariance matrices, fundamentals data, security T&Cs, and portfolio holdings. The successful candidate will provide data expertise to portfolio and risk managers who use portfolio risk models and engineering teams which build production processes around them. You will also mentor more junior members of the team, helping them gain the domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer investor questions, and develop automated systems for identifying data quality issues. Experience Required: • Proven experience with market risk models from leading vendors such as Barra (BarrOne), Axioma, Northfield, and Bloomberg (Bloomberg PORT)., • Strong analytical capabilities with a demonstrated ability to comprehend large datasets and implement effective data quality controls., • Proactive and self-motivated approach, with the ability to work independently while providing oversight and mentorship to junior team members., • Deep understanding of financial data including security, company, portfolio, and index-level information, as well as pricing across equities, bonds, and derivatives., • Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands-on experience in data quality frameworks and automation tools., • Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions., • Expertise in anomaly detection methods, statistical tools, and best practices for managing data quality workflows., • Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements., • Experience working in complex data environments, with the technical and analytical infrastructure required to support them., • Ability to identify and resolve root-cause data quality issues, collaborating with internal teams and external data providers to correct issues at the source., • Skilled in developing automated processes to detect and resolve data errors, ensuring high-quality data for investment decision-making., • Experience in documenting key procedures and calculations and validating data for accuracy and completeness., • Domain expertise in investment management, with knowledge spanning risk management, portfolio management, trading, and investment operations.

I am hiring a technical pricing candidate for a Senior Pricing analyst for a growing motor insurer. In this role you will own the end-to-end retail pricing process for a range of motor products. This role is essential to the central pricing function and will continue to be as they grow across UK and European market. The Role - • Implement strategic pricing decisions for new and existing motor products, • Closely collaborate with the Pricing Leadership team, • Assess the performance across the product portfolio and provide recommendations for adjustments where necessary, • The mentorship of junior team members and cultivating a highly collaborative team The Candidate - • 3-5 years' experience in personal lines pricing, • Motor pricing desirable, • Strong technical skills - SQL, Python, R or equivalent, • A track record of managing personal lines strategies, • A willingness to challenge traditional pricing methods Location - London (Hybrid, 2 days a week in the office) Salary - £50,000 - £90,000 If you have personal lines pricing experience and want to discuss this role then please get in touch -

Senior Economist - Competitive Salary - London, United Kingdom (hybrid) Our client is an independent economic consultancy specialising in public policy, economic evaluation and evidence-based decision making. The firm works with a broad range of organisations including government departments, public bodies, charities and private sector organisations, helping them understand complex economic challenges and design more effective policy interventions. The team applies rigorous economic analysis to some of the most pressing social, environmental and economic questions facing policymakers today. Their work spans areas such as economic growth, productivity, sustainability, social outcomes and public sector investment. As the consultancy continues to expand its analytical capabilities, they are seeking to appoint a Senior Economist to contribute to high-impact policy projects and lead complex economic analysis across a diverse portfolio of engagements. Role The Senior Economist will play a key role in delivering economic analysis and policy insight across multiple projects, with particular emphasis on economic appraisal, cost-benefit analysis and programme evaluation. This position involves leading analytical workstreams, engaging directly with clients and stakeholders, and helping shape the direction of projects from design through to delivery. The role also offers the opportunity to mentor junior team members and contribute to the continued development of the consultancy’s analytical practice. Key Responsibilities • Contribute to economic analysis across a range of policy, appraisal and evaluation projects, • Support the development of economic appraisal and evaluation approaches, including cost-benefit analysis and impact assessment, • Apply quantitative techniques such as econometrics and quasi-experimental methods to analyse policy and economic questions, • Translate analytical findings into clear insights for a range of audiences, including non-technical stakeholders, • Assist with project delivery, helping to ensure work is completed to a high standard and within agreed timelines, • Contribute to proposals and business development activities where appropriate, • Work collaboratively with colleagues and engage with clients and stakeholders as part of project teams, • Support the development of research, analysis and written outputs across multiple engagements Key Skills • Experience applying economics in a consulting, public policy, government, research or analytical environment, • Knowledge of economic appraisal, cost-benefit analysis and policy evaluation approaches, • Experience using quantitative tools such as Excel, R, Python or Stata for data analysis or modelling, • Strong written and verbal communication skills, with the ability to explain analytical concepts clearly, • Good organisational skills and the ability to contribute effectively to multiple projects, • An interest in public policy and the economic issues shaping government decision-making, • A postgraduate qualification in economics or a closely related discipline Key Benefits • Competitive salary and overall compensation package, • Hybrid working arrangements to support work–life balance, • A collaborative and supportive team culture, • Opportunities to work on meaningful, policy-relevant projects with real-world impact, • Ongoing professional development and clear progression opportunities, • An intellectually stimulating environment within a growing consultancy This is an excellent opportunity for an experienced economist to join a growing consultancy working at the intersection of economics, public policy and data-driven insight. The role offers exposure to meaningful policy challenges and the chance to contribute to work that shapes real-world economic outcomes. Please apply below for a confidential discussion to learn more. By applying to this advert you agree to your personal details being held on file in relation to this and other future relevant opportunities.

My client is looking for a Qualified (or nearly qualified) Actuary to join their Actuarial team. This is a fantastic opportunity to play a key role in modernising actuarial processes, moving from traditional spreadsheet-based approaches to scalable, automated solutions using tools such as Python and R. You’ll work across a variety of actuarial disciplines, contributing to both business-as-usual cycles and innovative, project-based work, while collaborating with senior stakeholders across the organisation. The Role - • Support the development of Argenta’s actuarial analytics strategy, • Lead and contribute to analytical projects, turning complex data into clear business insights, • Collaborate with Pricing, Reserving, Capital, Risk, and Exposure Management teams, • Drive improvements in actuarial data, systems, and workflows, • Support the development and optimisation of the central reserving database, • Identify and implement process improvements and automation opportunities, • Mentor and support junior actuarial analysts, • Ensure strong governance, documentation, and validation of models and tools, • Stay up to date with emerging technologies and industry trends, • Build strong relationships across actuarial teams and the wider busines The Candidate - • Newly qualified actuary or close to qualification, • Strong academic background, • Experience in General Insurance and/or the London Market, • Advanced Excel and strong report writing skills, • Experience with Python (or similar programming language), • Knowledge of Power BI or Qlik (desirable), • Familiarity with ResQ, Hx, or Igloo (desirable), • Strong analytical thinking and problem-solving skills, • Proactive, self-motivated, and able to manage competing priorities, • Excellent communication skills, with the ability to engage both technical and non-technical stakeholders If you want more information please get in contact via email -

The Role: Full Stack Data Engineer Join a high-growth technology and AI consultancy recognised for delivering exceptional outcomes across Defence, Public Sector, Healthcare, Finance, and Commercial sectors. Our client has built a reputation for solving some of the most complex data challenges in government and enterprise, earning industry recognition for innovation, engineering excellence, and strategic impact. Our client combines boutique technical expertise with global scale, creating an exceptional environment for ambitious engineers. As a Full Stack Data Engineer, you will join a consultancy where AI meets deep engineering capability. Our client is trusted to deliver transformational data platforms that support smarter decision-making across a wide range of industries, including secure government environments, with a significant focus on delivering complex, high-impact programmes involving Palantir Platforms. Due to the nature of this work, active SC (Security Check) clearance is required. The role offers the opportunity to work on projects that genuinely make a difference, applying advanced analytics, AI, and Palantir technologies to real-world challenges. This position is hands-on and consultative, blending software engineering, data engineering, and problem-solving. You will collaborate closely with clients and internal teams to design, build, and deploy end-to-end solutions. Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools and exposure to high-impact projects. Flexible working and a collaborative, curiosity-led culture underpin everything they do. You’ll have the opportunity to: • Work alongside industry-leading engineers, data scientists, and consultants, • Deliver AI-enabled, data-driven solutions across public sector, healthcare, finance, and commercial industries, • Design and build end-to-end platforms using Palantir and modern data technologies, • Apply advanced analytics and machine learning to real-world challenges, • Influence technical direction and best practice across complex programmes, • Mentor and develop junior engineers Key Responsibilities: • Break down complex client problem sets and design innovative solutions using Palantir technologies, • Build and maintain robust data pipelines and ETL processes, • Develop operational workflows and decision-support tools that transform client operations, • Collaborate with colleagues to implement AI and machine learning models, • Apply strong software engineering principles to deliver scalable, reliable platforms, • Mentor peers and support the development of junior engineers, • Build trusted, long-term relationships with clients as a technical advisor Key Requirements: • Active SC (Security Check) clearance, • Proven experience as a Full Stack Data Engineer or similar engineering role, • Strong skills in Python, SQL, and TypeScript, • Solid understanding of data engineering, ETL pipelines, and workflow orchestration, • Interest in AI, machine learning, and emerging technologies, • Strong communication skills and a collaborative, consulting mindset, • Curiosity, adaptability, and a desire to deliver real-world impact Why Join: • Join a fast-growing AI consultancy with the backing and scale of a global organisation, • Work on high-impact projects across public sector, finance, healthcare, and commercial industries, • Gain deep exposure to Palantir, AI, and advanced analytics, • Accelerate your career in a supportive, high-performance environment, • Be part of a culture that values innovation, collaboration, and bold ambition Interested? Apply Now!

Job Title: Junior Data Quality Analyst Location: London We are hiring a Data Quality Analyst to join our Trade & Transaction Reporting (TTR) team. This is an excellent opportunity to develop a career in regulatory reporting data quality, with exposure to end-to-end processes across MiFID II, EMIR Refit, SFTR, and REMIT. You will work closely with senior analysts and gain hands-on experience in monitoring, validating, and improving reporting data. Key responsibilities: • Support daily and weekly data quality checks and exception monitoring, • Assist with root cause analysis and remediation tracking, • Produce MI reports, dashboards, and trend analysis, • Validate reporting outputs using platforms such as Kaizen, UnaVista, DTCC, and TradeEcho, • Participate in UAT and document test results, • Maintain procedural documentation and support process improvements We are looking for candidates who: • Have strong analytical and numerical skills with an interest in working with data, • Are highly organised with excellent attention to detail, • Communicate clearly and work effectively within a team, • Are proactive, curious, and eager to learn Technical skills: • Excel, Word, and PowerPoint, • SQL or Python is beneficial but not required, • Exposure to regulatory reporting or vendor tools is advantageous This role offers a clear development path within a growing data quality function and provides strong exposure to regulatory reporting frameworks.

Treliant is a global consulting firm serving banks, mortgage originators and servicers, FinTechs, and other companies providing financial services. We are led by practitioners from the industry and the regulatory community who bring deep domain knowledge to help our clients drive business change and address the most pressing compliance, regulatory, and operational challenges. We provide data-driven, technology-enabled advisory, implementation, and staffing solutions to the regulatory compliance, risk, financial crimes, and capital markets functions of our clients. Founded in 2005, Treliant is headquartered in Washington, DC, with offices in New York, London, Belfast, and Łódź. For more information visit . Treliant is committed to fostering a diverse, equitable and inclusive environment that values and embraces all races, religions, ages, abilities, gender, sexual orientations, ethnicities, languages, nationalities, political parties, socioeconomic groups and other characteristics that inform an individual worldwide view and experiences and systems of beliefs (“the principles”). We believe in championing every voice and ensuring everyone’s full potential. Responsibilities While the scope of each project may be different, your duties & responsibilities may include: • Working with global clients ingesting large volumes of high frequency time series data, • Working with business users to define application requirements and deliver new functionality, • Involvement in all aspects of SDLC – planning, creating, testing, and deploying software solutions, • Analyzing data and delivering concise insights to business users, • Working as part of a team to deliver solutions, • Assisting in training of junior developers, • Taking ownership of critical activities, • Strong educational background – Degree (Masters would be an advantage), • 2+ Years using KBD+ to develop software, • Experience with Unix environments, • Demonstrated client experience and track record developing software solutions, • Good knowledge and experience with SDLC, including design, architecture, developing code, testing, and deployment, • Experience with tick architecture, large scale data capture and data analysis, • Ability to write clean and efficient code, • Experience in other languages like Java, C++ or Python, • Excellent communication skills across all levels of seniority, • Strong interpersonal skills, with good relationship building and engagement skills Benefits If you want to be part of a dynamic team of professionals, we invite you to join the team at Treliant. We invest in people, and challenge you to advance your career while achieving your aspirations and goals. Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation. Career Development - We put an emphasis on personal and professional growth by providing all the training you’ll need to become a highly skilled Treliant consultant. Programs cover Finance, Regulatory, Technology, and Operational aspects of investment banking. Clients – As a Treliant consultant, you will be working with some of the top clients in the financial services marketplace such as top tier Investment Banks. Our roles place you at the cutting edge of the projects on which you’ll be working, and giving you the opportunity to learn from, work with and build relationships with the very best within those companies. Rewards – Treliant offers our permanent staff an excellent total rewards package, including competitive base salary, incentive schemes, flexible healthcare coverage and our company pension scheme. Core Values – Whether you are a Client or an employee, Treliant wants the best for you. All our relationships are based on our Core Values: Deliver Excellence, Constantly Innovate, Treasure Diversity, Be Nimble, Listen First, and Develop our People. Diversity & Inclusion – Treliant is committed to fostering a diverse, equitable and inclusive environment that values and embraces all races, religions, ages, abilities, gender, sexual orientations, ethnicities, languages, nationalities, political parties, socioeconomic groups and other characteristics that inform an individual worldwide view and experiences and systems of beliefs (“the principles”). We believe in championing every voice and ensuring everyone’s full potential. Right to Work Treliant is not in the position to provide sponsorship for this current position and so applicants must be able to work in the United Kingdom without requiring sponsorship. Please note, Treliant receive a high volume of applications for all roles. While we will endeavour to respond to all applicants, this is not always possible. Should you not receive a response to your application within 2 weeks, it is likely that you have been unsuccessful on this occasion. However, we would like to retain your details on our systems and may contact you should another potentially suitable vacancy arise. Treliant LLC is an Equal Opportunity Employer and does not discriminate on the basis of race, colour, national origin, sex, sexual orientation, genetic information, religion, age, disability, or military status in employment or provision of services. When contacted for an interview, an applicant who requires special accommodations due to a disability should notify the office so that proper arrangements can be made.

Role: Senior AI Engineer – M&A & Platform Modernisation Location: London (Hybrid) Employment Type: Permanent Level: Senior / Lead Reporting to: Head of AI / Engineering Director Role Overview We are looking for a Senior AI Engineer with deep experience operating in M&A environments and delivering AI‑enabled application and platform modernisation (“ACP‑isation”) initiatives. This role sits at the intersection of AI engineering, cloud platforms, and enterprise transformation, supporting acquisitions, carve‑outs, and post‑merger integration through scalable, production‑grade AI solutions. You will work closely with architecture, cloud, data, and business stakeholders to accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery • Design, build, and deploy production‑grade AI/ML solutions, including:, • LLM‑enabled applications (RAG, agents, copilots), • Predictive models and intelligent automation, • AI services embedded into modernised platforms, • Own end‑to‑end AI lifecycle: discovery, PoC, productionisation, monitoring, and optimisation, • Support technology due diligence from an AI, data, and architecture perspective, • Analyse and rationalise overlapping application stacks, data estates, and AI capabilities, • Design AI‑led approaches for:, • Post‑merger integration, • Carve‑outs and separations, • Rapid capability uplift in acquired entities, • Lead AI components of application modernisation and platformisation programs, • Migrate legacy or fragmented AI workloads to cloud‑native, containerised platforms, • Embed AI into modern architectures:, • Event‑driven systems, • Microservices, • Data platforms and control planes, • Work with cloud and enterprise architects to define target AI architectures, • Collaborate with product owners, data engineers, and platform teams Core Technical Skills • Strong hands‑on experience with Python, and at least one of:, • TensorFlow, PyTorch, scikit‑learn, • Practical experience with LLMs and Generative AI, including:, • Prompt engineering, • Retrieval‑Augmented Generation (RAG), • Agentic workflows, • Experience deploying AI on cloud platforms (Azure, AWS or GCP), • Proven experience working in M&A, carve‑out, or post‑merger integration contexts, • Comfortable operating in ambiguous, high‑pressure transformation environments, • Application and platform modernisation (legacy → cloud‑native), • AI embedded into enterprise platforms, control planes, or shared services, • Strong stakeholder communication and documentation skills, • Ability to balance speed vs. risk in commercial M&A situations, • Experience in regulated environments (financial services, healthcare, energy), • Exposure to Responsible AI, model governance, and AI risk management, • Knowledge of integration patterns for multiple ERP, CRM, or core systems, • Previous experience in consulting, PE‑backed organisations, or scale‑ups

Senior Data Scientist – Core Products About the business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling financial institutions, aircraft manufacturers, tech giants, airlines, airports, travel companies, and many more accelerate their own digital transformation. You can learn more about Cirium at the link below. About the Team: Data Science Core is a key pillar of the Data Organisation. By leveraging the latest advancements in AI and ML, the team paves the way for the future of the business, providing new predictive insights for our products, and new ways of working for our internal teams through AI workflows. Our projects are wide ranging, touching every part of Cirium. Our environment supports autonomy, learning, and inclusive collaboration, with an emphasis on delivery at pace. About the Role: The Senior Data Scientist will work closely with both our client-facing and Product teams to enhance our analytical capabilities in support of scalable, customer-led solutions. This position emphasizes rapid prototyping of models and workflows, promoting agile iteration and continual improvement. Effective communication with stakeholders is essential, ensuring that business requirements are clearly translated into technical solutions. The role also includes developing reusable frameworks for emerging use cases and contributing to the advancement of our data science expertise and capabilities. Responsibilities: • Hands-On Development - Apply expertise in statistics, machine learning, and AI to build efficient analytics workflows for internal teams and customers, using an iterative approach., • Mentorship - Act as a technical leader and mentor for junior data scientists, supporting skills development and best practices., • Collaboration - Partner closely with Product, Engineering, and Data teams to ensure solutions are scalable, reliable, and aligned to Cirium’s strategy., • Communication & Business Application - Communicate complex analytical concepts clearly to non‑technical stakeholders, including senior leadership, focusing on business outcomes., • AI Adoption - Drive changes in company practices through AI adoption, acting as a key enabler in leveraging AI across teams., • Leadership & Ownership - Take initiative and lead projects, delegate tasks as needed and engage regularly with stakeholders to enable high-value initiatives and ensure continued alignment. Requirements: • Experience working as a data scientist in a commercial setting, with a proven track record of delivering commercial value through data science initiatives., • Excellent Python and SQL skills., • Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production., • Data engineering skills, with the ability to manipulate and process data at scale., • Curiosity to explore and delve into emerging capabilities with a clear link to commercial value., • Highly self-directed, capable of managing tasks, projects, and stakeholders independently., • Demonstrated track record of delivering analytics projects through R&D and discovery to production, with a clear understand of the Data Science & Machine Learning Lifecycles., • Demonstrated track record of implementing and fine-tuning LLM/AI workflows., • Strong competency leveraging Gen AI in your daily tasks to speed up efficiency., • Excellent communication skills, able to work across departments, engage with senior leadership, and work directly with our customers., • Experience with the AWS stack, Spark, Databricks, and/or Snowflake is desirable. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Generous holiday allowance with the option to buy additional days ● Health screening, eye care vouchers and private medical benefits ● Wellbeing programs ● Access to a competitive contributory pension scheme ● Save As You Earn share option scheme ● Travel Season ticket loan ● Electric Vehicle Scheme ● Optional Dental Insurance ● Maternity, paternity and shared parental leave ● Employee Assistance Programme ● Access to emergency care for both the elderly and children ● RECARES days, giving you time to support the charities and causes that matter to you ● Access to employee resource groups with dedicated time to volunteer ● Access to extensive learning and development resources ● Access to employee discounts scheme via Perks at Work

Do you want to shape how LLMs are deployed at scale in a real business? Have you built RAG or agentic systems that moved beyond experimentation? Are you motivated by measurable customer and commercial impact, not demos? A private-equity-backed consumer services business is scaling its Data Science & AI capability as part of a multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands-on individual contributor position, sitting between Data Science and AI Engineering. You will lead AI proof-of-concepts, design retrieval and context strategies, contribute to the AI architecture, and ensure solutions are robust, scalable and commercially grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation. Key responsibilities • Lead development of LLM and AI proof-of-concepts, • Design and implement RAG pipelines and agentic workflows, • Define evaluation frameworks for LLM quality and response accuracy, • Partner with product and engineering on chat flows and continuous improvement, • Contribute to AI platform architecture and best practices, • Mentor junior ML / AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus, • Pension: 5% matched, • Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed), • Location: Central London, • Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse, • Visa: This role cannot sponsor Interested? Please apply below.

numi have once again partnered with a leading player in alternative asset management is reshaping the treasury function. With cutting-edge technology and a seasoned team of industry experts, this company aims to reduce financing costs and optimize return metrics. Who We're Seeking: • We're on the lookout for a seasoned Associate to Mid-level Software Engineer with hands-on Python experience., • Familiarity with AWS Serverless and related technologies would be advantageous., • Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential., • If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven architectures, you'd fit right in. What You'll Do: • Spearhead core capabilities for Client Onboarding Value Stream., • Bring to life our loosely-coupled event-based architectural vision., • Elevate user experiences and process-based outcomes., • Mentor junior team members and contribute to collective growth. Process: • Zoom call with the technical lead (60 mins): Discuss your career journey and skills., • Face-to-face session with the team (90 mins): Collaborate on an exercise, showcasing your skills and working style., • Zoom calls with the executive team (30 mins each): Explore industry insights and the company's role. Interviews are kicking off & we are shortlisting candidates for this position, if this sounds like something that would suit your experience. Apply now!

Position: Mid Level Software Engineer Location: Elephant and Castle Job Type: Full Time About Qoves Qoves is on track to become the next consumer tech unicorn. With over 2.5 million followers across our platforms, we have built one of the largest global communities around beauty, aesthetics and AI. In only a short time, we have become one of the fastest growing consumer tech companies in the world, pioneering AI-driven facial analysis that is transforming the way people understand and improve their looks. Our products range from consumer facial analysis reports to AI powered tools and partnerships with leading clinics and global brands. We are scaling quickly, expanding our team, and setting new standards in how technology and aesthetics intersect. This is your opportunity to join a company that is not just growing but reshaping an entire industry. The Role We’re looking for a Mid Level Software Engineer to join our growing engineering team in London. You’ll work closely with senior engineers and the Head of Engineering to build, scale, and improve the core systems powering our AI driven platform. This role is ideal for someone who is comfortable owning features end to end, contributing to architectural decisions, and shipping production ready code with minimal oversight. You’ll play a key role in bridging execution and ownership, delivering high-quality solutions while continuing to grow into a more senior engineer. What You’ll Do • Design, build, and maintain backend services using Python (FastAPI and/or Django), • Develop and scale REST APIs that power core product features, • Work with PostgreSQL to design efficient schemas and optimize queries, • Contribute to AI powered features, including integrations with ML models and APIs, • Own features end to end, from planning and implementation to deployment and monitoring, • Write clean, scalable, and well-tested code, contributing to overall codebase quality, • Collaborate cross-functionally with Product, Design, and Frontend teams, • Support deployment and infrastructure workflows using Docker and CI/CD pipelines, • Participate in code reviews and help mentor junior engineers, • Debug and resolve production issues, improving system reliability and performance What We’re Looking For • 3 to 5 years of professional software engineering experience, • Strong proficiency in Python with experience in FastAPI, Django, or similar frameworks, • Solid understanding of backend architecture and API design, • Experience working with PostgreSQL or other relational databases, • Comfortable working independently while contributing to a collaborative team, • Familiarity with Docker, Git, and modern deployment workflows, • Exposure to AI/ML tools, APIs, or computer vision is a strong plus, • Strong problem-solving skills and ability to navigate ambiguity, • Clear communicator who can contribute to technical discussions and planning Nice to Have • Experience with AI/ML frameworks or LLM integrations (e.g., LangChain), • Familiarity with Supabase, Firebase, or other BaaS platforms, • Experience optimizing performance and scaling backend systems, • Prior experience in a startup or high-growth environment Why Work With Us • Work on cutting edge AI technology used by millions globally, • Join a fast-growing, well funded startup with a 2.5M+ community, • Take ownership of meaningful features and contribute to core systems, • Collaborate with a high performing, ambitious engineering team, • Work directly with senior engineers and leadership, • Office based in a uniquely designed, converted London library, • Play a key role in shaping the future of AI and aesthetics

Power System & Product Development Engineer Location: London (Hybrid – 3 days office / 2 remote after probation) Salary: £80,574 + 3% bonus About the Role UK Power Networks is seeking a Power System & Product Development Engineer to support the development of a smarter, more flexible electricity network. This role combines power systems engineering with digital product development, focusing on building tools that support flexible connections, DER integration, and DERMS operations across the network. Key Responsibilities • Lead development of smart grid digital tools supporting flexible connections and DERMS., • Perform power system studies (thermal, voltage, fault level) to identify network constraints., • Develop Python-based tools, data pipelines, dashboards, and APIs., • Use GitHub for version control and collaborative development., • Work with teams across DSO, Planning, Operations, and IT, as well as external partners., • Support and mentor junior engineers and analysts. Requirements • Degree in Power Systems Engineering or similar discipline, • 7+ years experience in the energy sector, • Experience in power system analysis and operation, • Knowledge of DER integration, flexible connections, or DERMS, • Experience developing Python-based analytical tools, • Experience using power system modelling tools such as PowerFactory, • Strong project management and stakeholder engagement skills Desirable • Postgraduate degree in power systems or quantitative discipline, • Chartered Engineer status or working towards, • Knowledge of Grid Code, CUSC, or electricity market frameworks, • Project management qualification (APMP / PRINCE2) Benefits • 25 days annual leave + bank holidays, • Hybrid working, • Pension contribution up to 10% employer, • Season ticket loan and cycle-to-work scheme, • Retail discounts and employee assistance programme Please apply today!

A fast-growing London-based FinTech firm building secure, scalable, and high-performance financial platforms that power digital payments, lending, and real-time financial services. As they scale the platform and expand their product offerings, they are looking for a Senior DevOps Engineer to play a key role in shaping the cloud infrastructure, automation strategy, and reliability standards. The Role As a Senior DevOps Engineer, you will lead the design, implementation, and optimisation of the infrastructure. You’ll work closely with engineering, security, and product teams to ensure our systems are secure, resilient, and compliant with financial regulations. This is a hands-on technical role with strategic influence — ideal for someone who thrives in high-availability, high-security environments and enjoys mentoring others. Key Responsibilities • Design, build, and maintain scalable cloud infrastructure (AWS), • Lead Infrastructure as Code initiatives, • Improve CI/CD pipelines, • Drive containerisation and orchestration, • Implement robust monitoring and observability, • Enhance system reliability, availability, and performance, • Champion DevSecOps best practices and automation, • Ensure compliance with financial services regulations and security standards, • Mentor junior engineers and contribute to technical strategy Requirements Essential: • DevOps / Platform Engineering experience, • Strong experience with AWS, • Deep knowledge of Terraform or other IaC tools, • Experience managing Kubernetes in production, • Strong scripting skills (Python, Go, or Rust), • Experience with CI/CD pipeline design and optimisation, • Understanding of networking, security, and high-availability architectures

Junior AI / Automation Engineer London We are working with a highly entrepreneurial investment environment building out a new real estate platform in London. They are looking for a junior / early-career AI and automation-focused hire to help create internal tools, streamline workflows, and support the team with practical AI-enabled solutions from a relatively blank sheet of paper. This is not a pure academic data science role, and it is not a standard corporate graduate seat. The opportunity is much more about ownership, practical build work, and helping shape how a lean team uses AI and automation from the outset. The role is likely to suit someone who enjoys building useful things, working closely with stakeholders, and applying AI in a practical business setting. What you’ll be doing: • Building internal tools and lightweight platforms to improve workflow efficiency, • Supporting automation across reporting, document handling, internal processes, and knowledge workflows, • Working with AI / LLM-based solutions to solve practical business problems, • Helping create bespoke internal systems rather than relying solely on off-the-shelf software, • Collaborating closely with senior stakeholders in a lean, commercially focused team What they’re looking for: • Early-career profile, likely graduate to c.1–3 years’ experience, • Strong hands-on ability with Python and practical software / automation tooling, • Interest in AI, LLMs, workflow automation, and internal tool-building, • Builder mentality — someone who enjoys creating, testing, and improving things, • Comfortable working in a more entrepreneurial, less structured environment, • Strong academic background preferred Useful experience may include: • FastAPI, React, TypeScript, Streamlit, APIs, • LLMs, RAG, agentic workflows, automation tools, • Internal tools, dashboards, workflow systems, CRM-type platforms, • AI-enabled process improvement or business automation This is a particularly strong opportunity for someone who wants genuine ownership early in their career and enjoys building practical solutions that have visible commercial impact. If this sounds of interest, please apply or get in touch directly.

Key Responsibilities • Product and Project Ownership: Lead delivery of smart grid digital tools and technical products for flexible connections and DERMS integration. Provide training and develop processes to ensure seamless business integration and deployment., • Technical Analysis and Power Systems Expertise: Conduct power system studies (thermal, voltage, fault level) to identify network constraints. Produce engineering analysis, data insights, policies, and design standards to optimize active networks and support Distributed Energy Resources (DER)., • Programming and Data Science: Build Python-based tools, data pipelines, dashboards, and APIs to meet evolving business needs. Utilize GitHub for version control, collaboration, and codebase documentation., • Stakeholder Collaboration: Act as the key interface between DSO, Connections, Planning, Operations, and IS teams. Engage customers, IDNOs, vendors, and consultants to co-design solutions, and represent UK Power Networks in external working groups., • Mentoring and Capability Building: Guide junior engineers and analysts through training, code reviews, and technical support. Champion best practices in product, platform, and software development. Requirements • Proven experience in power systems engineering, including studies for thermal, voltage, and fault levels., • Strong Python programming skills for tool development, data pipelines, dashboards, and APIs; familiarity with GitHub for version control., • Background in product development, platform engineering, and smart grid/DERMS technologies., • Excellent stakeholder management, with experience interfacing across technical and commercial teams., • Ability to perform data analysis and produce engineering standards/policies for distribution networks., • Mentoring experience and commitment to best practices in agile development.

Junior Quant Developer – Multi-Strategy Systematic Trading Location - London (or NYC) A leading investment firm specialising in multi-strategy systematic trading is seeking a Junior Quant Developer to join its front-office execution team in London. The firm integrates diverse strategies across asset classes to capitalise on market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: • Develop and enhance high-performance trading systems., • Optimise execution algorithms for systematic trading., • Contribute to research and simulation frameworks. Key Requirements • Bachelor's degree in Computer Science or closely related field, • Interesting internship(s) within trading, • Proficiency in C++ or Python (the firm’s tech stack includes both)., • Strong problem-solving and analytical skills., • Ability to work in a fast-paced, collaborative environment. This opportunity offers a competitive compensation package and hybrid working model.

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Senior Full Stack Data Engineer – Decho Group (Part of Accenture) About Decho Group Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries. Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries. The Role We’re seeking Senior Consultant Engineers who want to apply their technical mastery in AI consultancy and Palantir engineering while shaping the future of data-driven decision-making. This is a hands-on, client-facing role where you’ll lead technical delivery, partner directly with stakeholders, and act as a trusted advisor. You’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models to deliver transformation at scale. Key Responsibilities • Lead & Architect: Own the design of innovative solutions using Palantir software, ensuring scalability and long-term impact., • Engineer Data at Scale: Build, optimise, and maintain complex pipelines and ETL processes powering mission-critical decision models., • Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries., • AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes., • Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence strategic direction., • Technical Excellence: Set engineering standards, champion best practices, and drive continuous improvement across teams., • Mentorship & Growth: Coach junior engineers, foster knowledge-sharing, and contribute to the Decho Lab’s innovation culture. What We’re Looking For • 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript., • Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms)., • Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise scale., • Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments., • Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact., • Exceptional problem-solving, communication, and stakeholder management skills., • Curiosity, adaptability, and a drive to make a real-world impact. Why Join Us • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale., • Lead mission-critical, client-facing projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies while shaping industry standards., • Build your career story as a senior leader driving transformation in data-driven decision-making., • Thrive in a culture that values innovation, collaboration, and bold ambition. Unfortunately we can not provide sponsorship for this opportunity

Data Scientist (Machine Learning & Generative AI) – Contract 📍 London (Hybrid – 2 days onsite) 💼 Long-term Contract (Inside IR35) The Opportunity We’re hiring multiple Data Scientists to join a major, enterprise-scale programme focused on machine learning and Generative AI innovation. This is a long-term contract opportunity where you’ll work on real-world, production-grade AI solutions, including LLM-powered applications, NLP pipelines, and emerging agentic systems. You’ll be operating in a highly data-driven environment, solving complex business problems and delivering impactful AI use cases at scale. Key Responsibilities • Build, deploy, and optimise machine learning and NLP models in production, • Develop end-to-end data science pipelines, • Design and prototype Generative AI solutions (LLMs, embeddings, prompt engineering), • Work with BigQuery ML and cloud platforms for large-scale modelling, • Translate business challenges into scalable data solutions, • Collaborate with cross-functional teams across engineering and business, • Mentor junior team members where required Required Experience • 10+ years in Data Science, Machine Learning, or AI Engineering, • Strong Python skills and experience with ML frameworks, • Proven track record delivering end-to-end ML/NLP solutions, • Hands-on experience with Generative AI (LLMs, embeddings, prompting), • Experience with cloud platforms (GCP, AWS, or Azure), • Exposure to BigQuery ML or similar platforms Preferred Experience • Background in financial services or regulated environments, • Experience with fraud, risk, or customer analytics, • Exposure to LLM applications or agentic AI systems, • Mentoring or leadership experience

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Enabing Accurate Compliance in Transaction reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Job Overview As a Senior Data Engineer, you will be developing our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable and well-tested code that follows best practices. As a senior member of the team, you will be providing technical leadership and mentorship to your colleagues. You’ll join at a pivotal stage as we modernize our data infrastructure, migrating from Python scripts and MySQL to Databricks and Snowflake. Our systems power regulatory reporting for major financial institutions, requiring precision, traceability, and reliability. What You'll Do • Design and evolve our configuration-driven data framework in Databricks and our Snowflake warehouse., • Mentor Junior members of the team, aiding their growth and acting as a force multiplier through your technical leadership., • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark., • Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments., • Implement robust data quality controls including testing, validation, monitoring, and alerting., • Drive performance optimization across Spark and Snowflake workloads., • Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs., • Contribute to the continuous improvement of our development processes and tools. Must-Haves • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments using Python and PySpark., • Able to write and optimize complex SQL queries on large data sets., • Strong data modeling and warehouse design fundamentals., • Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability), • Experience with modern cloud data platforms and orchestration tools., • Comfortable translating complex regulatory requirements into technical specifications., • Ability to work autonomously with a high degree of accountability for the systems you build and maintain. Nice-to-Haves • Experience with Kafka or other event streaming platforms., • Hands-on experience with AWS cloud infrastructure., • Experience building new data platforms or modernizing legacy systems., • FinTech, RegTech, or financial services background. Perks & Benefits • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

My client, a prestigious systematic boutique hedge fund, is seeking a junior Software Developer / Computer Science Graduate to join their London team. This is a rare opportunity to join a forward-thinking firm with a start-up mindset, where you will play a pivotal role in shaping the company’s technology landscape and directly contributing to its ongoing success. You will be a proactive self-starter with a genuine passion for technology, eager to work in a highly collaborative, agile environment while being mentored by seasoned industry professionals. As part of a close-knit team, you will have daily interaction with Trading, Risk, Marketing, and Middle Office teams, ensuring you gain broad exposure across the business and a deep understanding of the financial markets. Key Responsibilities will include: • Develop and enhance both in-house and third-party systems that support and manage trading operations., • Work across multiple business functions, developing solutions for booking, valuations, risk management, and P&L workflows., • Collaborate closely with trading, risk, marketing, operations, and compliance teams., • Take ownership of technical projects and products, focusing on increasing automation and operational efficiency., • Participate in a support rota alongside other team members, including management. A successful candidate will be a proactive self-starter with a strong background in finance or Computer Science, actively involved in extracurricular pursuits such as start-ups. They should possess deep expertise in Python or demonstrate proficiency in other languages like C#, C++, Java, React, or Ruby. You can expect: • 1 year of experience in a leading institution., • Proficiency in C#, • Market-leading compensation with a generous base salary and performance-linked bonuses., • Significant exposure to industry experts with continuous mentoring and development., • Access to the latest development tools and high-spec equipment including iPhones, laptops, and home office monitors., • A supportive, positive work environment focused on career growth and skill development., • Exceptional benefits including Deliveroo lunch contribution, BUPA Health Insurance, and Life Insurance. To apply, either respond to this advert or send your CV directly to .

We are looking for an experienced Service Operations Engineer. Responsibilities: • Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system, • Responsible for the daily maintenance, troubleshooting, repair and follow-up break-fix of the server and other hardware, • Maintain data on internal systems including Asset Management, Ticketing, & rack elevations, • Work with remote vendors or junior SOE to solve hardware batch failures and problems, • Oncall on duty, responsible for dealing with the problems raised by the business owner side, • Collect and check online asset data, • Submit and track the part RMA or media destruction process, • Server network troubleshooting, • Server lifecycle management, • Other server operation related work Requirements: • Bachelor’s Degree in Computer science, Electrical engineering or any other relevant fields, • Strong ability to work under pressure; Strong learning ability, broad technical interest; Strong sense of responsibility, full of enthusiasm for work, • Good communication skills in English, Mandarin is preferred, good team work spirit; Ability to work independently, • Knowledge of the interdependencies of data center functions and technologies, • Experience with massive remote OS installation such as PXE boot, • Can understand and run Shell or Python scripts, • Familiar with simple automation tools, such as Ansible, • Familiar with Linux system, able to locate hardware faults; Strong analytical and problem solving skills, • Basic TCP/IP knowledge concepts – Subnetting, VLANs, DNS, Ipv6; Ability to perform general troubleshooting, • Knowledge of out-of-band/lights-out server communication methods, such as IPMI and NCSI, • Strong documentation skills and habits What we offer • Onsite - London, • Full Time Employment; Permanent Contract, • Attractive Remuneration Package, • Career Growth Opportunities, • Skills Enhancement through Udemy Business, • Work in a well-established Multinational Company, • Supportive international team About Centific Centific expertly engineers platforms and curates multimodal, multilingual data to empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable Artificial Intelligence(AI) deployment. Our team includes over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We leverage an integrated ecosystem comprised of industry-leading partnerships, and 1.8 million vertical domain experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models(LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence(Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in Generative AI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by leveraging Generative AI at scale, ensuring they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. Applying to this job implies your agreement with: In compliance with the applicable data protection regulations (General Data Protection Regulation 679/2016), we at Centific, as data Controllers, inform you that the data collected will be processed to manage your application in the selection process. This processing is legitimized by the consent given upon submitting your application, and the data will be retained for a maximum of two years. You may exercise your rights of access, rectification, deletion, opposition, restriction of processing, and data portability by contacting Furthermore, if deemed necessary, you may file a complaint with the relevant supervisory authority. Your Authentic Self at Centific Centific is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Centific is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

About Us: We are one of the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: • Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis., • Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data., • Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers., • Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring., • Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management., • Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence., • Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: • 5+ years of professional experience in Python development, with a focus on building performant, scalable systems., • Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization., • Experience with distributed systems, parallel computing, and high-performance processing of large datasets., • Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases., • Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments., • Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar)., • Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes., • Experience in managing and deploying services in Linux/Unix environments., • Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure., • Fluency in English is required. Preferred Skills: • Experience in commodities markets or broader financial markets., • Knowledge of quantitative modeling, risk management, or algorithmic trading., • Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? • Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions., • Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement., • Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package., • Professional Development: Access to world-class learning and development resources, with opportunities for career growth., • Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.

Senior Platform Engineer Salary: £200-250k Package Location: London (Hybrid working – 3 days in office per week) I’m currently working with a Tech-Driven Hedge Fund undergoing a major technology transformation who are looking for a Platform Engineer with a breadth of experience across cloud, software and security engineering. Reporting into the Head of Engineering, this is a pivotal role in building out a brand new Cloud Platform for the entire organization, and an infrastructure capable of servicing and housing all departments ranging from Quants to Cyber to Risk. This is genuinely an incredible opportunity to join a small, close-knit team of incredibly skilled Engineers and build a platform and infrastructure which will shape how an entire organization can operate; for one of the most innovative Investment Management firms worldwide. Responsibilities • Design and build the platform and infrastructure on which the organization can operate at speed and scale., • Advise and provide vision on the overall architecture of the platform and its capabilities., • Work closely with wider departments to understand their requirements and how this platform can enable them., • Act as a mentor and escalation point to the more junior members of the team. Requirements • A software engineering background with the ability to build and develop robust and secure cloud infrastructures., • Thorough knowledge of AWS and building platforms subject to financial regulatory requirements., • In-depth cyber security experience and building platforms/infrastructure with security built in at code level., • Expert level knowledge of Terraform, Python and open-source databases (Postgres & Clickhouse a bonus), • Experience working in fast-paced, top tier financial institutions. If you’re an experienced Platform Engineer looking to join a Hedge Fund undergoing one of the most exciting Transformation journeys where you’ll be afforded the trust and freedom to build and develop one of the most innovative cloud Platforms; then click apply or get in touch directly –