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Entity: Technology Job Family Group: IT&S Group Job Description: bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! Role Summary We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D contexts. Key Responsibilities • Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability)., • Collaborate with cross-functional teams to translate business problems into ML solutions., • Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing., • Optimise model performance and ensure scalability and reliability in production environments., • Contribute to the design of ML system architecture and data infrastructure., • Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation., • Mentor junior engineers and data scientists, and contribute to technical design reviews., • Stay current with the latest ML research and tooling, and evaluate their applicability to our use cases. Required Qualifications • Experience in machine learning engineering or applied data science roles., • Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn., • Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs., • Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes)., • Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow)., • Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark)., • Strong communication skills and ability to work collaboratively in a team environment., • MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Desirable Skills • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to vector databases and semantic search., • Knowledge of software engineering best practices and system design., • Experience applying machine learning and AI to scientific or R&D workflows, including experimentation, simulation, or lab automation., • Familiarity with uncertainty quantification, model interpretability, and experimental design in ML applications., • Experience with Agentic AI systems, including autonomous agents, tool use, and orchestration frameworks., • Proven track record of innovation through publications, invention disclosures, or patents in machine learning or AI., • Prior experience in energy, logistics, or industrial domains is a plus but not required. We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

What's the role Shell Energy Europe & Environmental Products is seeking an Energy Analyst to work within the Market Analysis team to develop and improve our forecasting models. Accurate forecasting of market fundamentals is critical to improved decision making on the trading desk. The analysis team develop and run a wide range of forecasts, using different methods such as machine learning, optimisation. What you'll be doing Shell Energy Europe is looking to hire a data scientist to support the Power Fundamentals team in building and productionising time series forecasting and optimisation models (stochastic optimisation, dynamic programming, LP/MILP models, etc). This person will have an enthusiasm to learn the inner working of the power market by working in close collaboration with domain experts. They must be able to understand the fundamentals of the power market and translate this into a mathematical model. This requires taking a pragmatic approach to model development, starting with a simple model, and iteratively adding complexity - driven by adding business value in a high-pace environment. This person must be a strong programmer, who is confident in productionising models in the cloud (Azure/AWS) and is comfortable in designing and implementing data ingestion and model deployment pipelines. Responsibilities: • Prepare, process, clean and visualize various kind of power, gas, and weather data sets to establish a basis of further analysis, • Develop, analyse, and conduct different approaches to forecasts different variables (Demand, wind, solar, prices), • Statistical evaluation and validation of different types of forecasts, • Build the framework to deploy models in production that will be use every day for trading decisions, • Share this framework with the rest of the team to increase the performance of the rest of the team developments, • Participate to the conception and development of a computational environment which enable scalability and high computational power, • Develop in house optimisation models (stack models, dispatch models), • Bring new ideas of models to improve the desk P&L, • Have a graduate qualification in an analytical or science-based discipline e.g., engineering/maths/computer science and ideally a PhD in machine learning, optimisation or equivalent, • High knowledge for solving unstructured and non-standard mathematical problems, • End-to-end experience with data, including querying, aggregation, analysis, and visualization, • Strong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn)., • Strong SQL skills for data retrieval, basic analysis, and data cleansing., • Strong knowledge and application of object-oriented design and software best practices in Python, • Familiarity of cloud architecture, with a focus in deploying and hosting applications in a cloud environment., • Self-starter who is commercially aware and value focused. Able to work with minimal supervision and guidance., • Good communication skills to present new developments and facilitate acceptation by the team and the traders.Ideally you would be proficient in a good selection of the following:, • Algorithmic complexity theory, • Parallelism & Concurrency, • Experience with messaging and or data streaming technologies such as Kafka, ActiveMQ, Azure Service Bus, and Azure Event Hubs., • Have experience implanting algorithms and data-structures You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You'll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You'll be able to balance your priorities as you become the best version of yourself. • Progress as a person as we work on the energy transition together., • Continuously grow the transferable skills you need to get ahead., • Work at the forefront of technology, trends, and practices., • Collaborate with experienced colleagues with unique expertise., • Achieve your balance in a values-led culture that encourages you to be the best version of yourself., • Benefit from flexible working hours, and the possibility of remote/mobile working., • Perform at your best with a competitive starting salary and annual performancerelated salary increase - our pay and benefits packages are considered to be among the best in the world., • Take advantage of paid parental leave, including for non-birthing parents., • Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply., • Grow as you progress through diverse career opportunities in national and, • international teams. Shell in The United Kingdom Shell UK remains one of the North Sea's biggest producers, supplying around 10% of the UK's total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations. In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.

Curriculum Development Teaching Fellow Formalisation.To find out more about the job please click the ‘apply for job’ button to be taken to Imperial job site.The Department of Mathematics has a popular undergraduate programme with around 900 enrolled students.Computation is a strength of our offe

Lecturer and Assessor in Electrical Installation Role: Lecturer and Assessor in Electrical Installation Location: Uxbridge/Harrow Weald - West London Salary: £32,455 to £45,260 per annum including London Weighting Teacher training provided Contract Type: Full Time, Permanent Closing Date: Tuesday 02 September 2025 The Opportunity We are recruiting for a Further Education College seeking an experienced Lecturer and Assessor in Electrical Installation for their campus based in West London. This is an exceptional opportunity to join a forward-thinking institution committed to excellence in technical education. The successful candidate will deliver high-quality teaching and assessment to apprentices, combining classroom instruction with workplace assessments. You'll work collaboratively with employers, college staff, and apprentices to ensure outstanding learning outcomes and career progression. This role offers excellent career development prospects within a supportive environment that values professional growth and innovation in technical education. Key Responsibilities • Deliver engaging electrical installation programmes to apprentices aged 16-19, • Conduct workplace assessments and maintain comprehensive records, • Design and implement innovative schemes of work and lesson plans, • Liaise effectively with employers and college colleagues, • Support apprentices' professional and personal development, • Contribute to curriculum development and quality assurance processes What Our Client Offers • Full funding for teaching qualifications - Complete support for your professional development, • Competitive salary package with London Weighting included, • Government incentive scheme eligibility - Up to £6,000 available through Targeted Retention Incentive Payments for eligible FE teachers in their first 5 years, • Comprehensive induction and ongoing support, • Excellent career progression opportunities, • Collaborative and supportive working environment Essential Requirements Qualifications • Level 3 qualification in Electrical Installation (Apprenticeship or equivalent), • Level 2 English and Mathematics (GCSE Grade C/4 or equivalent), or commitment to achieve, • Recognised FE teaching qualification (DET, PGCE or equivalent) OR willingness to undertake with full employer support, • Assessor qualification or willingness to obtain with employer support Experience and Expertise • Substantial experience in the electrical installation industry, • Proven teaching, training or assessment experience in technical subjects, • Workplace assessment experience, • Knowledge of Further Education sector and City and Guilds qualifications framework Essential Skills • Outstanding ability to motivate and inspire young learners, • Excellent written and verbal communication skills, • Strong commitment to safeguarding, equality and diversity, • Effective classroom management and teaching practice, • IT literacy for digital learning platforms (training provided if needed), • Strong organisational and administrative capabilities, • Team collaboration skills with commitment to continuous professional development, • Self-motivated with passion for electrical installation and technical education Application Requirements To ensure your application receives full consideration, please ensure your CV includes: 1. Complete personal details - Full name, contact telephone number, email address, and current location, 2. Educational institutions - Specific names of all colleges, universities, or training providers where you have taught (not generic terms like 'FE college' or 'local college'), 3. Employment history - Complete chronological work history with exact job titles, employer names, and employment dates, 4. Gap explanations - Clear explanations for any periods of unemployment, career breaks, or gaps in your employment history, 5. Qualifications - Full details of all relevant qualifications, including awarding bodies and completion dates, 6. Professional development - Details of any continuing professional development, training courses, or industry updates Applications that do not include these details may not be progressed to interview stage. Next Steps This is an outstanding opportunity to advance your career in technical education with a respected institution that invests in its staff. Our client offers excellent support for professional development and career progression. To apply, please submit your comprehensive CV addressing all the requirements above. For a confidential discussion about this role, please contact our specialist Education Recruitment Team. Apply today - interviews will be scheduled as applications are received. We are dedicated to safeguarding and promoting the welfare of children and expect all staff to share this commitment. As a Lecturer and Assessor in Electrical Installation, you will have a safeguarding responsibility if appointed. The successful Lecturer and Assessor in Electrical Installation candidate will be subject to enhanced clearance through the Disclosure and Barring Service and employment will be subject to references. This Lecturer and Assessor in Electrical Installation post is not exempt from the Rehabilitation of Offenders Act 1974. Apply for this Lecturer and Assessor in Electrical Installation opportunity by sending your CV to Sally at Clarus Education. You will be contacted by your personal consultant (if shortlisted) for the Lecturer and Assessor in Electrical Installation role within 48 hours. Please see our website page headed ‘About’ and scroll to the bottom to see our ‘Privacy Notice’ for an explanation about how we use information we collect about you. Lecturer and Assessor in Electrical Installation – FE College – Uxbridge & Harrow – West London Lecturer and Assessor in Electrical Installation

Are you an enthusiastic and dedicated Mathematics Teacher looking for your next permanent role? A welcoming and high-achieving secondary school in Hounslow is seeking a passionate Mathematics Teacher to join their team from September onwards. This permanent Mathematics Teacher position is an ideal o

Quantitative Analyst Up to £100,000 London (Fully Onsite) Company: Join a world-class global investment management firm that specializes in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: • Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies, • Develop predictive models for sports outcomes using advanced mathematical and statistical techniques., • Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies., • Implement and optimise numerical methods to support robust, scalable model performance in live environments., • Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment., • Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: • MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment., • Strong background in mathematics, statistics, or a related quantitative field, • Experience in developing mathematical models to predict real-world outcomes, • Proficiency in numerical implementation and computational methods How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Basic Job Information 1、Job Title: Data Analyst 2、Department: JD Europe Online Retail Department 3、Work Location: London, UK 4、Work Experience Requirement: 5-7 Years 5、Working Language: English (as Working Language) Job Requirements 1、Education: Bachelor's degree or above, major in Statistics, Mathematics, Computer Science, Economics, Marketing or related fields preferred. 2、Experience: 5-7 years of data analyst experience, retail or large e-commerce experience preferred, familiarity with online retail business model is a plus. 3、Language: Excellent English listening, speaking, reading and writing skills, usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency in SQL, capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities; 4、Proficiency in Power BI, able to independently create reports and dashboards with good data presentation skills; 5、Data analysis thinking and modeling ability, able to use statistical methods (e.g., regression, clustering) to solve business problems. 6、Qualities: Strong logical thinking, problem-solving and learning ability, adaptable to business and tool changes; good communication, collaboration and teamwork skills; data sensitivity, sense of responsibility and stress resistance, able to complete tasks on time.

Senior Data Scientist Up to £80,000 London (Remote First) Company: Join a leading B2B Travel and Hospitality company that partners with major global airlines and hotel brands. In this role, you’ll drive revenue growth and elevate the e-commerce experience by leveraging advanced forecasting, automation, and data-driven insights. Responsibilities: • Lead technical efforts to improve the performance of deployed models and propose initiatives to shape the long-term scientific vision., • Own and actively contribute to the design and development of internal machine learning and forecasting libraries., • Work with product and data science management to develop key results for given product objectives., • Establish scalable and efficient practices for data mining, ML model development, validation and inference., • Building demand forecasting models, • Stay up-to-date on the most recent advances in AI and machine learning Requirements: • MSc Degree in Computer Science, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment., • Commercial experience in demand forecasting Please note that this role does not offer visa sponsorship How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Role: Junior Data Scientist Location: London, UK (Hybrid) Salary: £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: • Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions., • Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes., • Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company., • Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals., • Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements: • Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields., • Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling., • Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting., • Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively., • Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. It's A Bonus If You Have: • Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus., • Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance., • Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: • Growth opportunities: Be part of a fast-growing company with ample opportunities for career advancement., • Innovative work environment: Work with a team that values creativity, collaboration, and continuous learning., • Cutting-edge tools and technologies: Access to the latest data science tools to help you excel in your role., • Competitive compensation: A salary that reflects your skills and experience, along with performance-based bonuses. If you’re a motivated Junior Data Scientist with a passion for finance and data-driven decision-making, we want to hear from you. Apply now to join our team and be part of shaping the future of the finance industry.

Our client, a leading systematic trading firm, are seeking a Senior Quantitative Researcher to join their options quant team. In this senior role, you will lead key projects, drive innovation, and mentor junior team members. Core Responsibilities: • Collaborate with trading and research teams to evaluate and enhance existing algorithms., • Apply expertise in systems, mathematics, and trading to identify opportunities for improving the trading platform., • Rapidly research, test, and prototype new algorithmic ideas (Python preferred)., • Drive the implementation of high-quality research into production trading systems., • Provide guidance and mentorship to junior researchers. Skills and Experience: • Master’s or PhD in a highly quantitative field., • 5+ years of experience in financial services or a quantitative research environment., • Demonstrated success in project or people management., • Strong programming skills (Python, Java, or C++ preferred)., • Proven track record in quantitative modeling and algorithm development., • Experience with options pricing. For more information, please apply below or reach out to our Director, Tom, via email

Position Overview: Delta Executive Search is partnering with a leading global Hedge Fund to identify an experienced and strategic FX Volatility Portfolio Manager to join their world-class investment team. The successful candidate will be responsible for developing and managing FX volatility portfolios, leveraging deep expertise in global currency markets, options structures, and macroeconomic drivers to deliver superior risk-adjusted returns. Key Responsibilities: • Manage a global FX volatility portfolio with a focus on alpha generation, risk management, and capital preservation across G10 and emerging market currencies., • Utilize discretionary or systematic approaches to express views via options, volatility surfaces, and relative value strategies., • Collaborate with macro and cross-asset teams to integrate FX volatility perspectives into broader asset allocation strategies., • Proactively monitor portfolio risk and performance metrics, ensuring adherence to internal risk controls and regulatory frameworks., • Identify and capitalize on dislocations in FX volatility markets using quantitative techniques, proprietary research, and innovative trade structuring. Requirements: • Proven track record of managing FX volatility portfolios, with consistent performance across a range of market conditions., • Deep knowledge of FX options, volatility dynamics, risk-reversals, and exotic structures, as well as spot and forward FX instruments., • Strong understanding of macroeconomics, monetary policy, and cross-border capital flows as they impact FX and volatility markets., • Advanced analytical and quantitative skills, with the ability to translate macro and micro market insights into actionable FX volatility strategies., • Bachelor’s or advanced degree in a relevant field (Economics, Finance, Mathematics, or related discipline) from a top-tier institution., • Minimum 7 years of experience in portfolio management or a senior FX options/volatility role, ideally within a hedge fund or institutional asset management environment.

Financial Services • Build game-changing forecasting models., • Take the lead in developing complex financial risk models from the ground up., • Hybrid role in London - minimum three days in the office per week. If you’re the kind of data scientist who doesn’t just tweak models but creates them from the ground up, this is your chance to make a real impact. We’re looking for a commercially minded Senior Risk Modeller with a strong data science background to join a forward-thinking team shaping critical financial forecasts. In this role, you’ll take ownership of sophisticated models that help make major business decisions - from residual value forecasting to insurance pricing and economic capital. What you’ll be doing: It’s a role for someone who thrives on building and enhancing models from scratch, who can bridge the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and have a direct hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme. You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated. You’ll partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business… sound like you? Apply now! What experience you’ll need to apply: • Solid track record in forecasting and data analysis/data science, with hands-on experience building and enhancing complex models from scratch, • Proficiency with statistical tools and programming languages such as R, Python, or SAS, • Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders, • Strong problem-solving skills, able to design creative and commercially strong modelling solutions, • Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions, • A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline., • Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines, • Desirable: industry experience in sectors such as finance, automotive or similar, and exposure to advanced techniques like machine learning or predictive modelling What you’ll get in return: A salary of up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. You’ll be working in the London office, a minimum three days per week and the rest remote. What’s next? Apply with your updated CV, and we’ll review your application as soon as possible to arrange a conversation. For any questions, just drop Tegan an email.

Permanent Maths Teacher – London, United Kingsom 📍 Location: London, UK 📅 Start Date: September Start 📄 Contract: Full-Time, Permanent 💰 Salary: £35,000-£49,000 (dependent on experience) Inspire the next generation of mathematicians! We’re looking for an enthusiastic, skilled, and committed Maths Teacher to join a vibrant and high-achieving secondary school in London. This is a permanent teaching opportunity for someone who is passionate about making a real difference in students’ lives and shaping their future success. Why Join Us? • A supportive and collaborative Maths department with excellent leadership., • Well-resourced classrooms and modern teaching facilities., • Opportunities to teach KS3, KS4 and potentially KS5., • Professional development and career progression encouraged and supported. Your Role • Deliver engaging and effective Maths lessons in line with the national curriculum., • Teach across Key Stages 3–4 (Key Stage 5 optional, depending on experience)., • Inspire a love of mathematics through creative teaching methods., • Plan, assess, and track student progress to ensure all learners achieve their potential., • Uphold high standards of behaviour, safeguarding, and inclusion. What We’re Looking For • Qualified Teacher Status (QTS) or equivalent teaching qualification., • Strong subject knowledge in Mathematics., • Proven experience teaching Maths at secondary level in the UK., • Excellent classroom management and organisational skills., • A genuine passion for education and student success., • Proof of DBS 📩 Apply Now If you’re ready to inspire young minds and join a school that values both its staff and students, please apply now or email your CV to

Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational and process-related advisory services, targeting both functional aspects and the implementation of related technologies. We currently have a multidisciplinary team (functional, mathematical, technical and systems integration) of around 4,000 professionals. We operate through 50 offices (22 in Europe, 23 in the Americas, 3 in Asia, 1 in Africa and 1 in Oceania) from where we regularly serve clients that operate in more than 50 countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you • Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields., • Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Quantitative Finance or similar., • Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.)., • Solid academic record., • Strong computer skills., • Knowledge of other languages is desirable., • Get-up-and-go attitude, maturity, responsibility and strong work ethic., • Strong ability to learn quickly., • Able to integrate easily into multidisciplinary teams. What we offer We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: • Working in the highest-profile consulting projects in the industry, • for the largest companies, leaders of their respective markets,, • alongside top industry management as they face challenges at the national and global level,, • as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry. Training • Ongoing training plan, with approximately 10% of business turnover spent on training., • Specialist knowledge courses, external expert courses, professional skills courses and language courses., • Last year our staff as a whole received over 330,000 hours of training spanning more than 150 courses. Career plan • Clearly defined career plan., • Internal promotion based solely on merit., • Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners. Complementary activities • University : we maintain a close relationship with the world’s most prestigious universities., • Social Action: we organize more than 30 community support activities., • Sports Club: internal and external tournaments.

Title: Senior Quantitative Researcher / Sub-Portfolio Manager Location: New York / London Team: Systematic Trading Strategies About the Role: Seeking a highly skilled and experienced Senior Quantitative Researcher or Sub-Portfolio Manager to join a systematic trading team. The successful candidate will play a key role in the full lifecycle of alpha research and strategy development, with the potential to manage risk capital independently or transition into a lead PM role over time. Key Responsibilities: • Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes, • Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate, • Develop and test robust portfolio construction, execution, and risk management models, • Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities, • Take ownership of strategy performance and contribute to the team’s overall P&L, • 5+ years of experience in quantitative research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank, • Proven track record of alpha generation or contribution to profitable strategies, • Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques, • Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure, • Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics), • Excellent communication skills and ability to work in a collaborative, performance-driven environment

Associate Project Manager, Digital Transformation The Company Stratt is a consultancy firm specialising in sustainably responsible, enterprise digital transformation. We partner with executive teams from some of the world’s most recognisable brands to design, build and manage transformative enterprise capabilities. We believe in healthier business for people and our planet. We are ranked by EcoVardis in the Top 7% of the world’s most sustainable business and aspire for B-Corp accreditation later this year. After continued success, we plan to expand our delivery operations to support our growth. The Role We are seeking commercially minded and ambitious individual to join our life sciences delivery operations practice. As a digital transformation project manager, you will be instrumental in shaping the international business of our clients in the life sciences sector. Your role is to support commercial biotech and pharmaceutical executives through the delivery of market analysis, commercial strategies, business design and new technology implementation to deliver rapid commercial outcomes for their international teams. This role offers accelerated career growth for ambitious individuals and presents a unique opportunity to join an ethical and profitable scale-up with ambitious plans for growth. Responsibilities • Orchestrate the project lifecycle for key business activities that includes market research, marketing and sales operations, client service delivery plus various corporate activities., • Support client portfolio governance that includes executive communications, account strategies and pipelines, operational standards and financial analysis, • Manage client service delivery in partnership with business consultancy teams to ensure projects advance on time, budget and to the contractual specification, • Actively forecast and monitor project dependencies and risks, authoring recommendations to reduce uncertainty, risk, delay, error and cost, • Author and maintain the accuracy of project management documentation to include project charter, plans, register, standards, risk, status and meeting minutes documents, • Manage quality assurance to ensure quality standards, compliance and approval governance is met for the entire project workflow., • Track and manage project finances to ensure resource capacity and project costs are consistent with project specifications and demand, • Lead account and project onboard/offboard governance to ensure complete transparency and knowledge transfer between service teams and providers, • Actively manage communication and collaboration governance to ensure project stakeholders interact efficiently and effectively throughout service delivery Candidate Profile • BSc/MA in Science, Technology, Engineering or Mathematics (STEM) field, • 8 - 12 Years project management experience, with an interest in professional services, • Active interest in the life sciences industry, with a focus on Commercialisation, • An entrepreneurial and data-driven mindset, able to critically examine business challenges, • A well organised individual able to uphold professional quality standards independently, • A problem-solver, with high emotional intelligence and leadership qualities, • Someone seeking the freedoms and opportunities to lead in a scale-up environment, • Someone seeking to make a positive impact on people and the planet, • Experience of MS Project, Trello or Jira technologies required, • Experience of SAFe, Prince2, Agile or Lean Six Sigma methodologies required Compensation & Benefits • 30 days holiday plus bank holidays, • Competitive salary and pension based upon experience, • Annual personal plus company performance bonuses, • Personal development allowance that can cater to your learning preferences, • Accredited B-Corp offices, plus hybrid and flexible working offered as standard, • Onsite fitness studio with various classes that include Yoga, Pilates, HIIT etc., • Tuesday afternoon tea and cakes, monthly breakfast club plus separate networking drinks, • Subsidised specialty coffee plus daily healthy lunch options onsite, • Central London location, with large open air rooftop terrace overlooking the skyline, • Various summer and winter socials, parties and calendar events. We are an Equal Opportunity Employer, and our people are everything to our business. We encourage each team member to be fearlessly human and we welcome their entire person. We proudly base our employment, promotion and evaluation decisions solely on qualifications, merit and business need.

Our Client is the LNG trading and shipping arm of a major energy group, providing global solutions across the LNG and maritime sectors. The wider organization operates internationally and is considered one of the more prominent energy players in its region. We are looking for a well-rounded Risk Management professional with experience within LNG trading to join the Risk and Middle office team. Key responsibilities: • Producing and analysing risk P&L, ensuring timely identification of key drivers and ongoing development;, • Monitoring and reporting risk exposures and limit utilisation;, • Contributing to the design and implementation of appropriate VaR, CaR, EaR and stress testing methodologies;, • Supporting development and enhancement of the ETRM system, including testing;, • Validating and maintaining pricing curves for Physical and Financial products;, • Oversee the integrity of trade booking and position date and coordinate with internal teams to resolve any discrepancies;, • Coordinating credit support process including PCG, SBLC and LC issuance;, • Managing EMIR and REMIT regulatory reporting processes;, • Supporting continuous enhancement and development of controls and processes in line with internal risk policies;, • Liaising with Trading and Chartering teams, Legal, Finance, IT teams as well as external counterparties;, • Support audits and internal regulatory reporting requests Requirements: • 2+ years’ experience in risk management / Middle Office function within LNG trading., • University degree in Economics, Mathematics, Statistics, Finance, Engineering or similar disciplines;, • Sound working knowledge of ETRM systems;, • Strong knowledge of derivative trading;, • Strong analytical and numerical skills, ability to analyse and interpret complex data and present it in a clear and concise manner;, • Highly organised with strong attention to detail and results oriented approach;, • Self-starter with ability to multitask and re-prioritise deliverables at short notice;, • Team player with excellent verbal and written communication skills;, • Experience with EMIR and REMIT reporting advantageous.

Our client, a large, global advisory and consulting firm is recruiting for its Energy & Utilities team, a team that provides advisory services for many major clients in the sector, including all UK utilities as well as some of the largest energy and water companies in Europe. They provide provide in-depth strategic and technical advice on strategy and business planning and analysis, regulatory finance, corporate finance and corporate financial management, regulatory policy as well as in other areas to help their clients create value for both shareholders and customers. Our client's Energy & Utilities team is continuously expanding and they are looking for high quality candidates to support their growth with a particular focus on financial and economic analysis, including cost of capital estimation, financeability assessments, risk and scenario analysis, financial modelling, investment appraisal & valuation. For this role no prior experience in energy & utilities is required and our client will consider applications from candidates with any sector coverage. Candidates must be strong on cost of capital estimation and have experience in WACC cost of equity. Responsibilities: • While you will have specific responsibilities for contributing towards the team’s regulatory finance business in utilities, there will also be opportunities to work in other sectors., • Working closely with the director for finance in the utilities sector, you will help lead and further develop the team, increasing their presence in the sector., • This will include identifying new opportunities, contributing towards winning work, and coaching junior members of staff., • You will build relationships with key clients across the sector, as well as with other advisors (e.g. legal and engineering)., • The projects that you will advise on will be high profile and varied. For example, in recent years they have advised on cost of capital, financeability, risk analysis, financing strategy, financial modelling, state aid, Competition and Markets Authority re-determinations, major transactions and more., • There is no ‘typical project’. You will need to apply a structured strategic approach to problem solving, drawing on established economic and corporate finance principles, while having the capacity to think creatively., • You will be leading the delivery of key projects. This will include delegating tasks to team members, constructing project plans, managing client interactions, tracking budgets, and complying with the company’s risk processes., • You will need to be comfortable managing, coaching, and mentoring junior staff on specific projects., • You will maintain a good understanding of regulatory finance issues in the regulated sectors e.g. on setting the cost of capital or assessing financeability, as well as how regulatory mechanisms interact with or impact the actual financing of regulated businesses. Person requirements: • Educated to a degree level in a quantitative field such as Finance, Economics, Mathematics or similar will be preferred, although candidates with highly relevant, equivalent experience, will also be considered., • Have significant experience in the utilities sector, either as a regulatory policy maker (gained at a regulatory office or industry) or as a consultant specialising in regulatory or corporate finance, with specific expertise in WACC estimation and the application of the Capital Asset Pricing Model., • Have a detailed knowledge of the current UK regulatory regimes and regulatory finance mechanics for utilities, their application and impact on notional and actual capital structures and business performance, including the role of the WACC in allowed revenue estimation., • Demonstrate strong working knowledge of economic and financial theory and its application – for example risk-return trade-offs, fixed income pricing and valuation, capital structure, asset pricing, and beta estimation – preferably with experience in applying corporate finance concepts in the regulated networks space., • Be highly skilled in quantitative economic and financial analysis. The ideal candidate will have experience leading projects with extensive WACC analysis elements, and /or have detailed knowledge and experience of financial econometrics and statistics, ideally applied in the utilities sectors., • Have a sound knowledge of finances and financial structures of regulated utilities and their treatment within the regulatory WACC framework (we will consider candidates with deep expertise in financial analysis even if they do not have econometrics experience)., • Provide compelling and well-thought out solutions to complex economic and financial problems, being able to provide persuasive and self-assured responses in a credible manner., • Bring excellent quantitative analysis (Stata or equivalent), Excel and Powerpoint skills., • Bring exceptional written communication skills, with a proven ability to produce high-quality, technically rigorous reports for expert audiences, including regulators, investors, and legal advisors., • Be an independent thinker with the ability to identify problems and contribute to the development of solutions, helping us to remain at the cutting edge of innovative thinking in the sector., • Relish the opportunity for interaction and dialogue with companies, investors, regulators and other stakeholders, and with a host of functions across the Firm., • Have experience of managing medium size project teams, with a focus on mentoring and coaching junior staff (with or without a finance background)., • Be a proven team player who can demonstrate a clear desire to manage teams, who can gain the trust and support of internal colleagues, • All UK staff who have not passed a Financial Services Authority (FSA) approved exam will be required to do so. Our client is an equal opportunities employer, is committed to diversity and welcomes applications from a range of diverse backgrounds. They also have opportunities for role sharing / part time work, flexible working hours, work from home and more flexible working arrangements. They provide a workplace where everyone can thrive, whatever their gender, ethnicity, disability, sexual orientation and socio-economic background. We look forward to your application! Cambridge Credentials – Adding people…adding value

Lead Product Engineer £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities • Lead the development of innovative digital products from concept through to production, • Design and build scalable, containerised software solutions that incorporate data science components, • Make architectural decisions around tooling, frameworks, and development approaches, • Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred), • Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders, • Mentor and support junior engineers, helping to grow technical capability within the team, • Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery, • Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience • 5–7 years of professional experience across software engineering, DevOps, or applied data science, • Strong programming skills in Python and familiarity with JavaScript/TypeScript, • Working knowledge of React (not a frontend role, but an understanding of the stack is important), • Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure), • Exposure to Jupyter notebooks, and understanding of how machine learning models are developed and deployed, • Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education • Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI), • Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering, • Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills • Strong communication and collaboration skills, • Experience mentoring junior team members, • Willingness to step into a leadership role and grow into the function, • Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

Multiple early career or mid-career positions in the UK and Ireland. Job location open to be anywhere in the UK and Ireland At ISS • Individual growth, and in the process, organizational growth, are at the foundation of the global reach from our offices in the UK, Ireland, US, Germany, France, India, China and Singapore., • Our core values are our employee empowerment, integrity, business ethics and exemplary services. Our success is measured by our contribution in reducing health and safety risk. We provide challenging work environment where your skills are effectively utilized without red tape., • We are seeking professionals with strong ethics and integrity, and a passion to meaningfully contribute towards reducing employee health and safety risks. Job location: Open to primary location being based anywhere in the UK and Ireland Responsibilities • Conduct Industrial Hygiene qualitative and quantitative exposure assessments, • Conduct engineering controls/local exhaust systems evaluation, ergonomics assessments and Indoor Air Quality (IAQ) evaluations., • Conduct EHS audits and broad EHS assessments., • Assist in implementing and managing Industrial Hygiene programs at client sites., • Prepare concise technical reports on the assessments conducted and provide recommendations to eliminate hazards or reduce workplace risk., • Interpret routine Industrial Hygiene and Safety requirements and regulations., • Assist Project Manager in coordinating, planning, and executing projects., • Develop business with new and existing clients. Education/ Qualifications • Bachelors or Master’s degree in Industrial Hygiene, EHS, chemical engineering or related field., • Early career professionals welcome to apply. Ideally, 3-10 years of experience in Industrial Hygiene or EHS role in a manufacturing environment, consulting or corporate role., • Pharmaceutical industry experience is strongly preferred., • Board Certification such as CIH/ CSP or LFOH/DipOH certification (or an intent to obtain certification within 1 year) is preferred., • Excellent verbal and written communication skills, • Strong fundamentals in Chemistry, Physics and Mathematics., • Ability to make decisions based on sound reasoning skills., • Ability to plan, implement and prioritize projects, • Ability to work with and communicate effectively with all levels of professionals at client sites, • Ability to travel upto 50% of time within the UK, Ireland and globally. Contact: Ankit Sharma () and Prasanth K. ( )

We are seeking an experienced Quantitative Trader to join a fast-growing, high-performing trading team based in London. This role is ideal for someone with a strong background in systematic trading and a passion for applying advanced mathematics, programming, and research in live markets. You'll be part of a collaborative and driven team that builds and executes systematic trading strategies across global markets. The ideal candidate is entrepreneurial, detail-oriented, and thrives in a fast-paced environment. Responsibilities: • Conduct quantitative research to refine current strategies and develop innovative trading approaches., • Optimize research workflows and automation systems to speed up strategy implementation., • Automate and streamline trading operations to enhance scalability and efficiency., • Oversee daily trading activity across the EMEA and US markets to ensure smooth execution., • Support US market coverage as part of a shared trading shift rotation with the team Requirements: • 3+ years of experience in a proprietary trading or investment firm., • Proven track record trading EMEA equities using quantitative/medium-frequency strategies., • Bonus: Experience with dual-listed securities, ADRs/GDRs, US ETFs or US equities., • Strong programming skills in Python and VBA., • Experience in small, agile teams with strong collaboration skills. Location: London, United Kingdom Experience Required: 3+Years

Portfolio Manager – Equity Derivatives YOU MUST HAVE LIVED AND WORKED IN HONG KONG OR MAINLAND CHINA Salary £120,000 - £150,000 basic salary, plus highly attractive performance related bonus based on share of net PnL My Client: • My client is a very well-respected Hong Kong headquartered Alternative Asset Management boutique with over a 20-year history of success, • The firm manages a range of investment products including quantitative hedge funds, a long only fund, and a number of separately managed accounts, • They are looking to expand to London and add a trading desk to execute their strategies in US / European time zones. This will require close working with the Portfolio Management team in Hong Kong, • Several of the funds are market neutral hedge funds investing in Greater China, and my client has future ambitions to add more Cross Asset strategies over time, including FX, Commodities, Equities, Fixed Income and Interest Rates to complement the existing strategies, with an emphasis on understanding the influence on asset classes by Greater China The Opportunity: • Working largely “sensible” US hours (from London) you will have responsibility for managing capital of US$25-100m in a cross-asset strategy for Greater China using global instruments including equity, F/X, credit and interest rate derivatives, • You will construct asymmetric market neutral trades and use price and macro data to generate trading ideas and execute cross asset convex trades, • Articulate trading strategies effectively to your peer group and Portfolio Management team in Hong Kong, and demonstrate accurate payoff structures, • Additionally, structure trades that are long vega and complimentary to other strategies in the fund, • Be career minded. The trading side of the business within the new London office could grow overtime and therefore this position could offer leadership opportunities, • Possess the ability to build models to assimilate risk in Greeks and PnL format and manage technical team to enhance data collection and evaluate trading opportunities Your Experience: • You must be able to demonstrate a strong record of academic achievement, showing a strong quantitative mindset and a passion for investing. This will include computing, finance or related topics with a background in mathematics, physics or relevant sciences, or an extended period of pricing derivatives, • China market experience is key, with an excellent appreciation of the key 7-8 indexes within China and the main listed ADRs, • The responsibilities offered within the role require you to have a minimum of 6 to 7 years of relevant experience working in a bank or fund managing risk assets in Derivatives including equity, F/X & volatility, • It is preferred that the candidate has lived and worked in Hong Kong, gained the relevant experience and then relocated to London, • You must be able to evidence idea generation along with strong conviction in your ideas, and have run your own P&L. This is essential for my client’s Hong Kong based CIO, • Demonstrate strong risk management controls and understanding of risk associated with trades, with an ability to build models to assimilate risk in Greeks being desirable - if so, then perhaps a Delta 1 trading background could be considered, • Demonstrate evidenced based opinion of the macroeconomic theses and how this will lead to relevant cross-asset trade ideas, • Ability to communicate effectively with peer group and share information, • Ensure collegial interaction and collaboration

Job Summary We are seeking a skilled Microsoft Power BI Developer to design, develop, and maintain business intelligence solutions. The ideal candidate will have experience in creating dashboards, reports, and data visualizations using Power BI ideally with some experience of Microsoft Fabric. They should be proficient in data modeling, DAX, Power Query, and integrating Power BI with various data sources. The Power BI Developer will work closely with our data analysts and business stakeholders to translate data into actionable insights. Main Responsibilities • To develop interactive and visually appealing Power BI reports and, • To connect Power BI to various data sources, including MongoDB, SQL databases, Excel, and cloud services., • To design and implement efficient data models and ETL processes using Power Query and DAX., • To optimize Power BI performance by fine-tuning data models and, • To collaborate with data analysts and business stakeholders to gather and understand reporting requirements., • To ensure data accuracy and consistency across all reports and, • To develop and maintain documentation for dashboards, reports, and data, • To provide training and support to end users on Power BI, • To stay up-to-date with the latest Power BI features and best Skills & Knowledge • A minimum of three years experience as a Power BI Developer or similar, • A strong proficiency in Microsoft Power BI, including DAX and Power, • Experience with SQL databases, MongoDB, data modeling, and ETL, • Familiarity with Azure Data Services (e.g., Microsoft Fabric, Azure SQL, Azure Synapse, Data Factory) is a plus., • Ability to translate complex business requirements into effective dashboards and, • Strong analytical and problem-solving, • Excellent communication and stakeholder management, • Experience working with large datasets and performance optimization, • Knowledge of data governance, security, and compliance best Qualifications • A Batchelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science) or relevant industry qualifications., • Certification in Microsoft Power BI is Venquis is acting as an Employment Agency in relation to this vacancy.

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity

Data Science Manager Up to £120,000 London (Remote/Hybrid) Company: Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: • Lead and deliver scalable statistical models and analyses that drive business decisions, • Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization, • Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem., • Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact., • Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Please note that this role does not offer visa sponsorship How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Numeracy Intervention Assistant | Havering | September Start We are currently recruiting a dedicated Numeracy Intervention Assistant to join a well-regarded Ofsted ‘Good’ Primary School in Havering. This role offers a fantastic opportunity to work in a supportive environment with a strong focus on behaviour management and high standards of progress. If you have a 1:1 or 2:1 Mathematics degree from a top 20 UK university, this Numeracy Intervention Assistant position in Havering is an excellent chance to advance your career in education. Benefits of the Numeracy Intervention Assistant role: • Competitive pay of £444 per week (term-time only), • Supportive Senior Leadership Team (SLT), • Opportunities for continuous professional development (CPD), • Clear pathways for career progression, • Deliver 1:1 and small group numeracy support focused on SATs preparation, • Confidently manage behaviour to maintain a productive learning environment, • Employ creative and proactive teaching methods to enhance pupil progress, • Maintain effective communication with parents and teaching staff, • Follow curriculum guidelines while targeting individual student needs, • Monitor and support pupil progress and attainment in numeracy, • MUST hold a 1:1 or 2:1 Mathematics degree from a top 20 UK university, • Strong and confident in behaviour management, • Previous experience working with children in educational settings preferred, • Excellent communication skills for liaising with parents and staff Ribbons & Reeves are London’s leading Education Recruiters. We specialise in helping educators of all levels secure long-term and permanent roles, such as this Numeracy Intervention Assistant in Havering. For other roles like this, check out our website, search ‘Ribbons & Reeves’. We look forward to supporting you in your application to this Numeracy Intervention Assistant role.

Learning Support Assistant (Maths & Science) – Sixth Form College 📍 Location: Kensington & Chelsea 📅 Start Date: ASAP 💷 Salary: £(Apply online only) Per day Are you a graduate with a strong background in Mathematics, Physics, Chemistry, or Biology? Do you have a

Senior Pricing Data Scientist Up to 80,000 London (Hybrid, 1 days onsite per week) Company: They provide flexible and reliable home insurance tailored to the needs of modern households. Whether covering unique properties or complex personal circumstances they are committed to making home insurance more inclusive, accessible, and straightforward. Responsibilities: • Lead the conversion rate and market modelling function, these are the two most important models,, • Understand and analyse price elasticity and competitiveness in the market, • Develop and productionise models - will have support from the team on this (Doesn't need to be end to end but ideal has some production experience), • Model market premiums for price comparison websites., • Made some good advancements in the space, right now a good time to invest and grow even further, • Working heavily with price comparison websites and making sure they are the most competitive on the market right now Requirements: • Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, • Proficient in Python (core skill), with strong experience in SQL, • Strong technical expertise in AI/ML and advanced analytics., • Ideally industry experience within Insurance Please note that this role does not offer visa sponsorship How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page.

The Role Senior Asset Management Equity & CFD Trade Support & Fund Administration Analyst/ Associate (Advanced Level Excel, VBA, or Python coding experience is highly desirable) Martis Search are representing a City of London based cutting-edge “tech driven” Asset Management company to hire a permanent “Senior Asset Management Equity & CFD Trade Support & Fund Administration Analyst/ Associate.” The company are a multi-asset class Investment boutique and the role sits within their “Portfolio Operations Middle Office.” The role encompasses a broad mix of Buyside Equity and CFD Operations duties from Equity Trade Support, right through to working with NAV’s/ Valuations and other related Fund Accounting/ Fund Administration tasks. The company is going through a growth phase, so it is a great time to join the business. The company is still relatively new company and growing, with so much potential for someone to learn more than you would within a larger Asset Manager. Out client is looking for someone of graduate calibre (2:1 ideally, but will also look at a 2:2 in a numerate based subject such as Economics, Mathematics, Engineering etc) ideally with a minimum of x 2-years Equity and CFD focused Asset Management, or Hedge Fund Trade Support, or Fund Administration experience (from a reputable Asset Management, or Hedge Fund). The Head of Operations is a great leader who encourages self-development from his team and there will be a lot of related project work/ Operations change projects for the chosen incumbent to be involved with. In addition, Advanced Level Excel, VBA, or Python coding experience is also highly advantageous, or if you have an enquiring mind and have the ability to self-learn coding on the job (with the relevant Equity Operations experience), this is great. The company offer a hybrid mix of “working-from-home” and also in-the-office, so you get the best of both worlds. Feel free to reach out to Martis Search for a more detailed spec. Salary Between £60 k pa - £75 k pa dependent upon experience, plus annual discretionary bonus, healthcare etc.

Our client, a London-based private credit investor, is seeking a Data Scientist to join the investments team in Mayfair, supporting with all aspects of the investments process. You will • Develop and implement quantitative models for pricing and risk assessment of asset-backed finance investments, • Work with internal teams to help select and/or build the system and tools infrastructure to store, process, analyze, and monitor investment-related data effectively, • Conduct in-depth analysis of financial data to support investment decisions and risk management strategies You'll need • Master’s degree or PhD in Mathematics, Statistics, or a related quantitative field, • Experience working with data on granular loan portfolios (e.g., consumer lending, SME lending, mortgage loans, trade receivables), • Familiarity with asset-backed finance, structured finance, and relevant market dynamics APPLY

Aspiring Science Teacher Program - £36,500 A fantastic Secondary School in the Borough of Lambeth are on the hunt for Aspiring Science Teacher for an ASAP start. This is a full time, and permanent position. You shall be paid on the Unqualified Teacher Scale - The point shall be dependent on strengths & experience - This can vary from £27,500 - £36,500 You will be working across the Science Department, teaching KS3-4 lessons, while having a focus on attainment & the quality of learning. This is the perfect opportunity if you're an aspiring Science Teacher looking to gain experience before enrolling onto teacher training. The Head Teacher would ideally like a Science Graduate with any of the following Science related degrees: • Biology (Science), • Chemistry (Science), • Geology (Science), • Physics (Science), • Natural Sciences (Science), • Mathematics & Physics (Science), • Environmental Science (Science), • Geography & Environmental Science (Science), • Health Science (Science), • Healthcare & Fitness (Science), • Any STEM related degree (Science) You will have the opportunity to enrol onto a Salaried Schools Direct opportunity via the Secondary School either starting September 2025 or 2026. Does this sound like the Aspiring Science Teacher Program - £36,500 for you? If so, please read on below to find out further details. JOB DESCRIPTION • Aspiring Science Teacher Program, • Teaching across KS3-4 with a focus on raising attainment, • Enrolling onto the Aspiring Science Teacher Program (Schools Direct), • ASAP Start - Full Time & Permanent, • £27,500 - £36,500 per annum, • Located in the Borough of Lambeth PERSON SPECIFICATION • Must have a desirable degree from the above subjects from a reputable University, • Good A Levels & GCSEs across the board, • Must be confident within your ability and knowledge of both the GCSE & A Level curriculum, • You must be able to engage and motivate the students, • Commitment and ambition to succeed is key throughout! SCHOOL DETAILS • Graded 'Outstanding' in latest Ofsted report, • Leading training School throughout the Borough, • Take on over 30 graduates a year, • Plenty of CPD opportunities throughout, • Schools Direct Opportunity, • Located in the Borough of Lambeth, • Good Tube Links - District, Central and London Overground If you are interested in this Aspiring Science Teacher Program - £36,500, interviews can be arranged immediately. Apply for this Aspiring Science Teacher Program - £36,500 by sending your CV to Ryan at EdEx. You will be contacted by your personal consultant (if shortlisted). Aspiring Science Teacher Program - £36,500 INDT

Senior Credit Risk Analyst Hybrid | London Office 60 - 70 K Depending on Experience + Bonus + Benefits About the Company This is a forward-thinking consumer finance business, built to give customers real control. Innovative. Ethical. Customer-first. No jargon, no complexity, just fair, transparent lending driven by smart, data-led decisions. For those who want to shape strategies that make a genuine difference, this is the place. ........Read On. The Role We’re after a commercially minded Senior Analyst to join a collaborative analytics team at the core of customer engagement and portfolio performance. In an ‘Existing Customer Management’ setting, you’ll be hands-on with data, shaping strategies that build stronger relationships, boost profitability, and cut losses, all while keeping customer outcomes front and centre. Expectations • Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses., • Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight., • Take a ‘test and learn’ approach, challenging the status quo to find better outcomes., • Translate portfolio trends into strategies that shape customer journeys., • Collaborate with stakeholders across product, finance, and operations. About You You’re more than numbers, you turn data into stories that drive change. You keep communication clear, direct, and respectful, cutting through noise to keep things moving. You thrive in fast-paced environments, balance detail with big picture thinking, and take pride in delivering results that make a real impact. What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar., • 3+ years in analytics, with lending or risk experience, credit card background is a big plus., • Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx., • Credit Card industry experience, • A proactive mindset and the ability to juggle priorities without dropping the ball. Bonus Points For • MySQL, AWS, or other big-data platform experience., • Proven track record in consumer finance strategy., • Experience linking analytics to commercial decisions. What’s on Offer • Competitive salary, annual bonus, and regular pay reviews., • Hybrid working with London office presence., • Great benefits package: pension, private medical, life cover, enhanced leave, and more. This is your chance to join a growing, purpose driven business, and to see your work make a direct impact on customers. APPLY NOW No Sponsorship is available for this role

JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: We are seeking a driven Senior Supply Chain Manager to oversee the supply chain of food and beverages. The ideal candidate will be responsible for developing demand forecasts for food and beverages, as well as managing supplier relationships to ensure good product availability for our customers. This role offers an exciting opportunity to shape category strategies and contribute to the growth of a dynamic new e-commerce business. Key Responsibilities: • Lead supply planning processes and inventory management for fresh food and beverages products in partnership with category managers, suppliers, and vendors to manage stock levels, budgets, defects, and lead times., • Create and maintain SKU-level forecasting tools to support category managers, ensuring optimised stock availability., • Develop and scale best practices in inventory management with the deployment of new tools and processes., • Provide standardised weekly summaries of key performance indicators related to fulfillment rates, availability, stockholding, and inventory quality. Minimum Qualifications: • Bachelor’s degree in related fields such as logistics, operations, supply chain management, statistics, mathematics, business analytics, economics, or finance., • 5+ years of professional experience in inventory and supply chain management, with recent experience in food and beverage management in the UK, Fresh experience preferred.., • Experience working with complex data sets and analytical techniques and tools such as SQL, VBA, or Excel., • Demonstrated success in leading process improvements, systems development, and change initiatives., • Experience in building demand forecasting systems for supply chain management. What We Offer: • The exciting opportunity to shape category strategies and contribute to the growth of a new and dynamic e-commerce business., • A diverse, inclusive work environment, where you can make a significant impact on JD.com's regional presence., • A competitive salary and benefits package, including health insurance, pension, and performance bonuses. JD.com 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, disability, age, or veteran status

Senior Data Science Director - £170,000 -£185,000 plus 30% bonus - London, United Kingdom (Hybrid) We’re partnering with a forward-thinking, global social gaming company seeking a seasoned Senior Director in Data and Analytics to shape and scale their data science capabilities. This individual will lead a high-performing analytics team, overseeing the development and deployment of advanced modelling, predictive insights, and data-driven strategies to guide executive decision-making across diverse business domains. Key Responsibilities • Set the vision and roadmap for the data science function, fostering scalable practices in areas such as A/B testing, user segmentation, predictive modelling, and reinforcement learning, • Lead cross-functional collaborations, embedding data-led insights into product development, marketing, and operational platforms, • Translate analytical discoveries into compelling, business-focused narratives for senior leadership and stakeholders, • Attract, mentor, and lead a distributed team of data scientists and engineers, nurturing their professional growth and impact, • Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills • Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, • Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams, • Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling, • Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL), • Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences, • Bonus: Experience in industries like gaming, entertainment or technology would add value, • Please note: Visa sponsorship is not available for this role Benefits • A high-impact leadership role in a leading social gaming company, • A collaborative, inclusive culture that values curiosity and continual improvement, • Opportunities to shape strategic direction and grow a best-in-class data analytics function, • Hybrid work flexibility with international exposure, • Competitive remuneration and benefits -reflective of senior responsibility If you’re a visionary data leader looking to elevate analytics at a global scale and thrive in shaping strategy and execution, please get in touch. Please apply below or please feel free to share your CV with Demetrious, 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.

About the Company A regulated financial markets firm bringing institutional standards to the rapidly evolving digital assets sector. Key Responsibilities • Lead Quantitative Model Development: Oversee the creation, validation, and optimization of models for pricing Bitcoin index futures and options, ensuring accuracy, scalability, and regulatory compliance., • Risk Management: Develop and refine risk models (e.g., VaR, Expected Shortfall, SPAN) to support trading and clearing operations, collaborating with clearing partners for robust counterparty risk management., • Volatility Surface and Index Computation: Enhance interpolation routines to maintain smooth and accurate volatility surfaces and oversee the computation of digital asset indices using market data from multiple exchanges., • Research and Innovation: Lead research initiatives to extract insights from internal and external market data, contributing to white papers and thought leadership., • Team Leadership: Manage and mentor a team of quantitative analysts, fostering a culture of collaboration, innovation, and analytical rigor., • Cross-Functional Collaboration: Work closely with Compliance, Risk, Operations, and Technology teams to ensure models meet regulatory standards and support high-throughput, low-latency trading systems., • Stakeholder Engagement: Liaise with senior management, clearing counterparties, and regulators to provide insights on model performance, market trends, and risk exposures., • Continuous Improvement: Monitor and refine quantitative computations, implementing auditable manual adjustments when necessary, and stay updated on industry developments in digital asset derivatives. Skills and Qualifications • Educational Background: Advanced degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Financial Engineering, Physics, or Computer Science., • Experience:, • 10+ years in quantitative research, with at least 5 years in a leadership role within financial services, preferably in derivatives trading or market infrastructure., • Proven expertise in futures and options pricing, volatility modeling, and curve-fitting techniques., • Experience with digital asset markets or fintech is highly desirable., • Technical Skills:, • Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis., • Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure., • Familiarity with high-performance computing and low-latency systems is a plus., • Regulatory Knowledge: In-depth understanding of financial services regulations, particularly those related to derivatives trading., • Leadership and Communication:, • Exceptional verbal and written communication skills to articulate complex quantitative concepts to non-technical stakeholders., • Proven ability to lead and mentor diverse teams in a fast-paced, global environment., • Personal Attributes:, • Entrepreneurial mindset with a proactive approach to problem-solving., • Ability to manage competing priorities and meet demanding deadlines., • High degree of initiative, attention to detail, and commitment to diversity and inclusion. Interested and qualified candidates please send your resume to . Only shortlisted candidates would be notified.

About Orchestrade Orchestrade is a highly successful US-based fintech software vendor on an exciting growth journey after significant recent investment in new products, people, and capabilities. Our software is a modern trading and risk platform used by some of the world’s top banks, hedge funds, energy, and commodity traders to run their investing businesses. We have top-tier energy clients globally and our product team plays a key role in developing the software to support and address the complex business challenges faced by energy market players. Our headquarters is in the heart of Silicon Valley, with offices in Paris, London, New York, San Mateo, and Singapore. About the Position Orchestrade is looking for a new member to join our Energy & Commodity Business Analyst team. The team continually extends our leading trading, risk, and operations solutions to cover new business cases and traded products & instruments in energy trading across the oil, gas, power, certificates, and metals markets. The team leverages its expertise on commodity and energy derivatives products across the full front-to-back chain: support, maintenance, evolution, and implementation of the commodity and energy framework for our clients. The role involves participating in business case studies as well as client implementation, writing functional and technical specifications, testing and validating developments. The BA team demonstrates a deep understanding of the key aspects of the business, along with a detailed knowledge of the underlying technical design concepts of the system, allowing for tight collaboration with the development team. Job Summary: The Business Analyst will support the growth of Orchestrade through research, development validation and direct interaction with clients. Duties/Responsibilities: • Partner with clients to capture, review and analyze business requirements, • Design, plan and draft functional developments specifications that deliver scalable and fast time-to-market solutions solving real world business problems, • Maintain and enhance the energy product framework in the system, • Provide training to clients and internal teams when needed, • Write functional and technical specifications aimed at our development team, • Test and validation of new developments, • Ensure the highest software quality is provided for our clients Requirements: • MS degree in Mathematics, Engineering, Computer Science or other related fields, • Results-oriented, analytical approach with strong entrepreneurial problem-solving skills, • Experience and understanding an object-oriented programming code (C#) – the ability to read and understand functional code is mandatory. Previous work experience as a developer is a big plus, • Energetic, collaborative, and seeking to make a positive impact on the company, • Entrepreneurial approach and ability to work alone or in teams with minimal supervision, • Excellent time management and organization skills with a keen eye for detail, • Good communication and presentation skills for client meetings, • 5+ years’ experience working within technology (trading systems) or in the energy space (on software vendor or client side) is a must-have, • Proven expertise in one of the following areas is a must-have: simple or complex derivatives (exchange-traded or OTC), market data management, pricing and risk methodologies, middle and back-office processes, electronic trading interfaces

Are you a data-driven thinker with a passion for digital entertainment? Want to build industry-shaping models for the top companies in entertainment? This could be your next move. MIDiA Research is a leading provider of entertainment industry intelligence, working at the intersection of media, technology, and culture. We are now looking for a talented Forecast and Modelling Analyst to help us build the sophisticated forecasts, surveys, and datasets that power strategy for the world’s top media and tech companies. About the role As a Forecast and Modelling Analyst, you will play a key role in building data models and forecasts that underpin MIDiA’s research, analysis, and consulting work. You will also dive into the data pipelines behind our pivotal surveys — transforming raw inputs into refined, client-ready output. Our reputation is built on delivering market-leading data - robust, high quality, and rigorously developed. You will help maintain and enhance this standard, working on complex models and surveys across music, video, games, podcasts, and more. You will collaborate closely with our analysts and consultants, to ensure that our datasets are insightful, accurate, and aligned with industry trends. This role is ideal for someone with a strong quantitative background, excellent data modelling skills, and a passion for the entertainment and media industries. KEY RESPONSIBILITIES • Build, maintain, and improve industry models and forecasts across entertainment sectors, • Assist with survey formatting processes and their automation, • Conduct desk research and data collection from third party sources, • Contribute to thinking and analysis, • Contribute ideas to improve modelling processes, accuracy, and automation, • Support consulting work by building bespoke models and forecasts, • Assist with other Data Team tasks and responsibilities The ideal skills and experience for this role are: • One to two years’ experience in modelling, forecasting, or data analysis, • A bachelors or masters degree in a quantitative discipline (e.g., Mathematics,, • Physics, Engineering, Computer Science, or Economics), • A strong academic background with AAA or above at A-level (or equivalent), including Mathematics, • Proven experience building and maintaining sophisticated data models, • Excellent Excel skills (including advanced formulas, lookups, etc.), • Data manipulation experience, particularly in the context of survey data, • Ability to identify patterns in data, and deliver meaningful insights from a variety of sources, • Solid understanding of forecasting methodologies and statistical techniques, • Strong attention to detail with ability to think at both micro and macro levels, • Clear, logical communicator able to explain complex concepts clearly, • Data visualisation and presentation skills will be beneficial (e.g., experience using Powerpoint) We are looking for an applicant who is: • Independent and proactive at solving problems, • Detail-oriented and rigorous, • Collaborative, friendly, and professional, • Comfortable working under time pressure, • Curious and eager to learn, • An excellent communicator, • Passionate about digital entertainment KEY DETAILS AND LOCATION Salary: £35,000-£40,000 PA (dependent on experience) Location: Hybrid - mostly remote with 2 days per week in our London office Working hours: 9:00am to 6:00pm, Monday to Friday Eligibility: Applicants must have the right to live and work in the UK.

Science Tutor | Croydon | September Start Are you a motivated Science Tutor eager to support students in reaching their full potential? A highly-regarded secondary school in Croydon is looking for a passionate individual to join their team this September as a Science Tutor. This full-time Science Tutor position is ideal for aspiring Science teachers or experienced tutors looking to gain in-school experience and make a genuine impact on students’ academic journeys within Science. The Role | Science Tutor • Full-Time Science Tutor (Contract), • Available to Science Graduates with a 2:1 or higher degree classification, • September 2025 start through to July 2026, • £500+ per week PAYE (term-time only), • Potential route into salaried teacher training As a Science Tutor, you will work predominantly within the Science department, delivering targeted academic support across KS3, KS4, and KS5. You’ll support students in small groups and one-to-one sessions, helping to boost confidence and improve attainment. While your timetable will focus mainly on Science, you will also be expected to contribute as a dynamic and flexible team member by supporting in other areas of the school as required. The School | Science Tutor Situated in the heart of Croydon, this diverse and ambitious secondary school is committed to academic excellence and inclusivity. The school places a strong emphasis on Science, offering a vibrant and well-resourced learning environment. As a Science Tutor, you will work alongside a highly skilled team of teachers and support staff who are dedicated to pupil success. Benefits | Science Tutor • Join a high-performing school with a strong focus on Science., • Work collaboratively with experienced teachers as a valued Science Tutor., • Opportunities to progress into salaried Initial Teacher Training., • Weekly PAYE pay, with no umbrella deductions or hidden fees., • Develop your skills in a long-term Science Tutor role that will enhance your CV and teaching confidence. Application | Science Tutor Role If you're an enthusiastic Science Tutor ready to make a lasting difference, this Croydon-based opportunity is your chance to grow professionally while inspiring the next generation. Use your passion for Science to support students and develop your career in education. Ribbons & Reeves are London’s leading Education Recruiters. We specialise in securing long-term and permanent roles for educators at all stages of their career. For more roles like this Science Tutor opportunity in Croydon, visit our website by searching ‘Ribbons & Reeves’. We look forward to supporting your next step as a Science Tutor. Science Tutor | Croydon | September Start

Director of Data Science/Machine Learning London - 3 days a week Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities • Translate complex business problems into measurable data science solutions that deliver commercial value, • Lead the design, development, and deployment of predictive and optimisation models across multiple industries, • Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment, • Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions, • Conduct rigorous A/B testing and performance measurement to validate impact, • Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices, • Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: • Proven experience applying data science in commercial settings, • Proven ability to lead data science projects from concept to production, • Deep understanding of statistical modelling, predictive analytics, and optimisation techniques, • Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders, • Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university, • Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities • Analyze raw data: assessing quality, cleansing, structuring for downstream processing, • Design accurate and scalable prediction algorithms, • Collaborate with engineering team to bring analytical prototypes to production, • Generate actionable insights for business improvements Qualifications • Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.), • At least 1 - 2 years' of experience in quantitative analytics or data modeling, • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms, • Fluency in a programming language (Python, C,C++, Java, SQL), • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

We are seeking an experienced Trading Business Analyst to join our team and support energy and commodities trading firms in optimizing the Endur trading platform. You will work closely with traders, risk managers, and IT teams to enhance the efficiency and effectiveness of the platform in trading, risk management, and back-office operations Accenture is a company that will allow you to learn, grow and advance in an innovative culture that flourishes with shared success, innovative ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. In this role you will be: • Analyze business requirements., • Configure Endur functionalities and identify system improvements, • Troubleshoot issues related to trading workflows, • Ensure data integrity and facilitate user training, • Generate and present reports to key stakeholders We are looking for experience in the following areas: Business Analysis / Project Delivery Experience • Proven experience in end-to-end project delivery and business analysis., • Strong BA experience including capturing business problems, value drivers and functional/non-functional requirements., • Experience running workshops and user acceptance testing., • Strong stakeholder management skills., • Experience working in Agile project delivery. Energy Trading & Endur Experience • Experience of energy trading markets, with a strong understanding of one of the following markets: UK& European Power, UK & European Gas and/or Environmental products. A working knowledge of different trading instruments, including: • OTC transactions – Including forwards, swaps, and simple options, • Exchange traded futures & options lifecycle including cascading, • In-depth knowledge of at least one of the following functional areas, • Trade capture - complex deal modelling and pricing, • Market Risk and risk Valuation, • Back-Office and Accounting processes, • Migrating between ETRM systems, • Proficient with OpenLink Endur Base configurations/Reference Data configurations and the good understanding of the various managers in the tool., • Endur configuration for Deal lifecycle, Confirmations, Settlement invoicing and scheduling., • Experience in establishing and delivering progressively larger and more complex projects/services., • Domain knowledge and skills in ETRM - mainly Endur (v18 or beyond)., • Knowledge of energy trading and risk management (ETRM) Front Office and Operations business processes., • Knowledge of the energy/commodity trading business – Power, Emissions, Gas, Commodities., • Prior experience of Endur covering end to end trade lifecycle processes with knowledge on technical aspects of integrating with other ETRM’s., • Experience of financial concepts - P&L, MTM, Financial Risk, Financial Instruments (derivatives traded products), settlements etc., • Strong organizational skills managing multiple workstreams and competing priorities simultaneously., • Experience of line managing resources and project managing teams., • Experience of leading projects embracing the Cloud Technologies (e.g. AWS, Azure, GCP)., • Experience of using different delivery methodologies: Agile (Scrum, Kanban) and Waterfall. Education and qualifications: • Bachelor’s or master’s degree or equivalent - STEM (science, technology, engineering, mathematics) majors (preferred but not essential). Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at ___ Visit us at

JOB TITLE: Energy Analyst DEPARTMENT: Knowledge, Insight, and Research REPORTS TO: Senior Energy Analyst Who we are looking for We are looking for a dynamic, committed Energy Analyst, who thrives on achieving clear outcomes on important research projects. Key responsibilities are data analytics, and stakeholder information within the energy sector, creating succinct, timely outputs based on key insights for a range of audiences, and supporting the fulfilment of the EI’s strategic aims, in particular informing energy decision making through convening expertise and advice. Who we are The EI is the chartered professional membership body for people who work across the world of energy. Our purpose is creating a better energy future for our members and society by accelerating a just global energy transition to net zero. We do this by attracting, developing and equipping the diverse future energy workforce; informing energy decision-making through convening expertise and advice; and enabling industry and consumers to make energy lower carbon, safer and more efficient At the EI we endeavour to find talent that will live and breathe our values. Our employees, and our extensive network of volunteers, pursue their work in line with a set of values reflecting the culture of the organisation: we are inclusive by treating each other with care and respect; we build trust through open and professional collaboration; and we are passionate about making a difference. A registered charity, incorporated by Royal Charter in 2003 but with a heritage dating back more than a century, the EI is licensed to offer professional registration as Chartered Energy Engineer, Chartered Environmentalist and, uniquely, Chartered Energy Manager status. It is also home to a range of collaborative initiatives, including the G+ Global Offshore Wind Health and Safety Organisation, SafetyOn and POWERful Women. We host the annual International Energy Week, International Energy Awards, publish the annual Statistical Review of World Energy, the Energy Barometer, weekly New Energy World Magazine, and provide the Toolbox web app helping the energy workforce learn lessons from incidents and get home safe. What you will do The role will provide the opportunity to contribute to some of our most important projects and collaborations: • Be integral to producing the Statistical Review of World Energy (previously published by bp), a comprehensive annual report covering all aspects of energy, from primary energy resources through to energy conversion and consumption. You will be involved across the entire end-to-end process of planning, sourcing, maintaining, validating the data as well as report writing and presenting results. Crucial to this role is the ability to translate data into engaging insights., • Supporting the delivery of the annual Energy Barometer, which draws on quantitative and qualitative research to articulate the views of energy professionals. You will be involved from question set formulation through to analysis and final publication, ensuring the end product delivers leading insight to internal and external stakeholders., • Developing reference materials used in the EI’s Energy Fundamentals training course delivered by EI Fellows each quarter to UK civil servants, ensuring data is up-to-date and topical issues represented in an evidence-based manner., • Take a leading role in researching and generating content for other outputs, including our Essentials Guides on key technologies, Country Transition Tracker or articles for New Energy World on topical issues, and responses to government policy consultations., • You will be expected to maintain an up-to-date understanding of trends and developments in the field of energy, as your advice will be sought by colleagues across the EI engaged in developing its services such as conferences, training, editorial content, and publications. You will be expected to meet individual key performance indicators and maintain standards and objectives for the team in line with EI values. This includes producing timely outputs, participating in appraisals and team meetings, and identifying and meeting your self-development needs. You will also occasionally undertake other duties as delegated by the Head of Knowledge, Insight, and Research. The knowledge, experience, and qualifications you need: As Energy Analyst, you will work with information and people across all parts of the energy system, in the UK and around the world. Your focus will be the development, provision and maintenance of high-quality energy information and insights for EI members and wider stakeholders. You should be able to process and interpret data, identify key trends, and produce content such as reports, briefing papers, and content for infographics to communicate complex issues in clear and intuitive ways. You will also work with the team to maintain, update, and expand its knowledge resources through gap analyses, identification of key information sources, influencers, and thought leaders. Essential: • Proficient use of Microsoft Outlook., • Strong MS Office skills, particularly Excel, Word, PowerPoint, and Access., • Demonstrable interest in energy, climate change, and sustainability., • Proficient in quantitative and/or qualitative research and analysis., • Proficient in working with data and statistics., • High numerical and analytical accuracy, with forensic attention to detail and an ability to translate that quickly into key insights., • Excellent written and oral communication skills, for a variety of audiences., • A self-starter with ability to work independently and part of a team., • Inquisitive, eager to learn, and constantly looking for improvements across the board., • Educated to degree level, in science, engineering, mathematics, science communication or other relevant subject. Desirable • A second degree in energy or equivalent energy experience will be an advantage., • Knowledge of one or more statistics software packages., • Good project management and organisational skills., • Experience maintaining a website. Salary and benefits • Training and professional development opportunities, • Compressed working scheme – extended daily hours in return for every other Friday off, • A mix of office (central London) and home working, • Participation in industry events, including attending conferences and lectures, • All-company/team socials, • 25 days annual leave, plus bank holidays, • Cycle to Work Scheme, • Great office culture, • Free Membership to EI (once passed probation) Salary: £27-30k per annum depending on experience, plus benefits The EI cannot sponsor visa applications. To apply please send your CV and a 1-page max covering letter to by 12 September 2025. Part-time or flexible work arrangements will be considered.

Role purpose The Senior Risk Analytics Analyst role sits in the Credit Risk team but supports the broader Prudential risk analytics needs of second line of defence. This role is central to developing and delivering the analytics that underpin key regulatory submissions such as the ICAAP and Recovery Planning as well as risk appetite setting alongside the annual budget setting process. About us Founded in 2007, we are a challenger bank that operates in accordance with Shariah principles, with offices in London, Milton Keynes and Wilmslow. We’re one of the fastest growing banks of our kind in the UK and are a subsidiary of Gatehouse Financial Group Limited. We offer personal and corporate savings products and finance for UK residential and commercial property, in addition to sourcing and advising on UK real estate investments. Our way of operating is stable, transparent, and shares risk and reward in an equitable way. That’s why we talk about balanced banking. Key responsibilities • Act as one of the key analytics analysts in the building of the Bank’s Risk Management capability., • Collaborate with the SLOD Prudential Risk and Finance teams to deliver the stress testing analysis for key regulatory submissions, including the ICAAP and Recovery Plan., • Enhance the Bank’s other risk management capabilities such as modelling of financial risks arising from climate risk., • Work with the IFRS9 team, external vendors and other risk analytics colleagues to develop scorecards and predictive risk management models., • Assist with second line of defence oversight of the bank’s key risks by performing firm-wide risk management activities, including Risk Appetite development & monitoring., • Provide management information, reports, and updates on risk management dashboards to assist the Bank in controlling its risk profile., • Maintain the stress testing governance framework and documentation., • Assist in updating and maintaining the Bank’s regulatory documents (Risk Appetite, ICAAP, ILAAP and RRP)., • Monitor and manage the bank’s asset portfolio to ensure ongoing compliance with risk appetite. This includes production and circulation of daily risk reports., • Engage in new business initiatives and projects with the ability to take on various responsibilities whilst delivering to deadlines. Skills required • Act as one of the key analytics analysts in the building of the Bank’s Risk Management capability., • Collaborate with the SLOD Prudential Risk and Finance teams to deliver the stress testing analysis for key regulatory submissions, including the ICAAP and Recovery Plan., • Enhance the Bank’s other risk management capabilities such as modelling of financial risks arising from climate risk., • Work with the IFRS9 team, external vendors and other risk analytics colleagues to develop scorecards and predictive risk management models., • Assist with second line of defence oversight of the bank’s key risks by performing firm-wide risk management activities, including Risk Appetite development & monitoring., • Provide management information, reports, and updates on risk management dashboards to assist the Bank in controlling its risk profile., • Maintain the stress testing governance framework and documentation., • Assist in updating and maintaining the Bank’s regulatory documents (Risk Appetite, ICAAP, ILAAP and RRP)., • Monitor and manage the bank’s asset portfolio to ensure ongoing compliance with risk appetite. This includes production and circulation of daily risk reports., • Engage in new business initiatives and projects with the ability to take on various responsibilities whilst delivering to deadlines., • Use of a range of bank IT systems and the requirements of automated reporting., • Indepth knowledge of residential mortgages., • Experience of using Microsoft Office applications – particularly Excel for data analysis and reporting., • Accounting knowledge, • Relevant higher education qualifications such as a Bachelor's degree in a related field (e.g., Finance, Mathematics, Economics, Data Science) would be advantageous. Additional Details • We offer highly attractive reward package; the typical benefits include:, • 25 days holiday entitlement increasing with service, • Pension Plan, • Private Medical Insurance, • Dental Cover, • Income Protection, • Life Assurance, • Employee Referral Bonus Gatehouse Bank is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. Please be advised that we have an appointed recruitment partner, The Curve Group, to manage our recruitment process and give candidates the best possible experience in pursuing a career with Gatehouse Bank. The personal details you have shared with us may be processed by The Curve Group on behalf of Gatehouse Bank. Full details of their Privacy Policy can be viewed by using this link

Role: Financial Engineer Industry: Asset Management Location: London Our client is a leading global financial institution seeking a talented Quantitative Solutions Analyst / Financial Engineer to join a client solutions group. This is an outstanding opportunity to work within an ambitious team that develop tools and deliver analytics as well as ideas for institutional clients globally. If you are a self starter that can do independant research and develop your own tools and ideas - this is an ideal position. Your Role • Collaborate with institutional clients and investment teams to design and implement customised investment portfolios, with a strong emphasis on Strategic Asset Allocation, • Develop and apply advanced modelling techniques to enhance portfolio performance and risk management., • Work in collaboration with sales, trading, and structuring teams to respond to client requirements, • Deliver presentations and technical explanations to both internal teams and external clients, • Participate in the continuous improvement of financial engineering tools and processes Your Profile • Strong academic background in mathematics, statistics, engineering, or a related quantitative discipline, • Solid experience in financial engineering, quantitative finance, or structuring (ideally in investment banking or asset management), • Proficiency with programming languages such as Python, with a proven track record of developing analytical tools and models., • Experienced in Portfolio Construction, investment portfolio theory, financial modelling techniques, and Strategic Asset Allocation design This opportunity offers unique exposure to sophisticated markets and products, an intellectually stimulating environment, and career progression within a dynamic, innovative team.

We have partnered with a leading UK insurer to find a Senior Pricing Manager to lead their pricing strategy across both personal and commercial lines. This is a senior leadership role with significant influence driving pricing excellence, shaping the roadmap, and ensuring robust governance and oversight of both in-house and delegated pricing activity. • Lead and develop a team of pricing professionals, setting the strategy for pricing across the business., • Drive improvements in pricing capability through robust governance, model reviews, and the development of new tools and methodologies., • Oversee delegated pricing activities, ensuring alignment, transparency, and compliance with regulatory requirements., • Monitor portfolio performance, assess pricing adequacy, and recommend targeted rating actions., • Support business planning and forecasting on rate, loss ratio trends, and combined operating ratio., • Build strong relationships across the supply chain, influencing decision-making at senior and board level. This role is ideal for an experienced pricing leader qualified or part-qualified actuary, or a degree holder in mathematics/statistics who has worked across personal and commercial lines and enjoys leading teams, influencing strategy, and driving performance through pricing excellence. Please apply for more information:

STEM Graduate A fantastic Secondary School in the Borough of Westminster are on the hunt for Aspiring STEM Teacher for an ASAP start. This is a full time, and long-term post. You will be working across a Science, Technology, Engineering & Mathematics Department, supporting KS3-5 lessons, while having a focus on attainment & the quality of learning. This is the perfect opportunity if you're an aspiring STEM Teacher looking to gain experience before enrolling onto teacher training. The Head Teacher would ideally like a STEM Graduate with any of the following Science related degrees: • Biology (Science), • Chemistry (Science), • Geology (Science), • Natural Sciences (Science), • Mathematics & Physics (Science), • Mathematics (Maths), • Mathematics & Statistics (Maths), • Economics (Maths), • Mathematical Sciences (Maths), • Physics (Maths), • Computer Science, • Engineering You will have the opportunity to enrol onto a Salaried Schools Direct opportunity via the Secondary School either starting September 2025 or 2026. Does this sound like the STEM Graduate opportunity for you? If so, please read on below to find out further details. JOB DESCRIPTION • STEM Graduate, • Secondary Teaching Assistant (Subject dependent), • Working across KS3-5 with a focus on raising attainment, • Carrying out GCSE & A Level interventions, • Enrolling onto the STEM Graduate (Schools Direct), • ASAP Start - Full Time & Long-Term, • £26,500 - £30,000, • Located in the Borough of Westminster PERSON SPECIFICATION • Must have a desirable degree from the above subjects from a reputable University, • Good A Levels & GCSEs across the board, • Must be confident within your ability and knowledge of both the GCSE & A Level curriculum, • You must be able to engage and motivate the students, • Commitment and ambition to succeed is key throughout! SCHOOL DETAILS • Graded 'Outstanding' in latest Ofsted report, • Leading training School throughout the Borough, • Take on over 30 graduates a year, • Plenty of CPD opportunities throughout, • Schools Direct Opportunity, • Located in the Borough of Westminster, • Good Tube Links - District, Central and London Overground If you are interested in this STEM Graduate, interviews can be arranged immediately. Apply for this STEM Graduate by sending your CV to Ryan at EdEx. You will be contacted by your personal consultant (if shortlisted). STEM Graduate INDTA

We are seeking a talented and driven Quantitative Developer to join our team, working directly with Equity Portfolio Managers. This role will focus on developing and optimizing quantitative models, tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment. Responsibilities • Collaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio analysis, risk management, and trading strategies., • Design, implement, and optimize quantitative models to analyze large datasets and derive actionable insights for equity portfolios., • Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability., • Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance., • Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling., • Ensure seamless integration of various data sources, both internal and external, into the development environment., • Troubleshoot and resolve technical issues as they arise, ensuring that code is clean, well-documented, and performs efficiently., • Contribute to continuous improvement and innovation in quantitative models and portfolio management systems. Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field., • Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis., • Solid understanding of financial markets, particularly equities, and portfolio management concepts., • Knowledge of databases (SQL, NoSQL) and experience in working with large datasets., • Experience in developing, optimizing, and deploying quantitative models in a production environment., • Strong problem-solving skills and ability to think critically in a fast-paced, team-oriented setting.

Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first platform and smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: • Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes., • Develop and deploy segmented credit models for unsecured consumer lending., • Improve data and analytics by identifying opportunities and encouraging rapid testing., • Work with Analytics to optimise portfolio value through data and modelling adjustments., • Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc)., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment., • 2+ years of data science leadership experience, • Aptitude to embrace AI and its potential for the business, helping to identify and deliver AI projects across the business Please note that this role does not offer visa sponsorship How to Apply: Please register your interest by sending your CV to Joseph Gregory via the Apply link on this page