201 to 225 of 698 Statistics Jobs in London

Oracle, with hands-on experience in data quality frameworks and automation tools. Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance. Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality ...

futures trading. Exposure to CICD-style implementation/release methodologies with a large complex codebase. Master's or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field. Additional Relevant ExperiencePrior role as a quantitative developer supporting a multi-asset systematic trading business. Experience with a broad ...

Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. ...

Degree Required, ideally in Information Sciences or Business StudiesExcellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Client-facing experience, established communication skills and comfort speaking and presenting to customers of all levelsBenefitsHybrid working - 2 days a week ...

datasets; window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression, causal inference fundamentals. You know when a statistical method fits and, more importantly, when ...

derivatives pricing or risk management. Proficiency in C++ for developing high-performance analytics and pricing libraries in a production environment. Strong mathematical foundation in statistics, probability theory, and numerical methods, with the ability to solve analytical equations and design numerical schemes for complex financial contracts. Practical experience with Python ...

experience in Excel (macros, index, conditional list, arrays, pivots, lookups)- Experience with financial analysis and modelingPreferred qualification - Bachelor's degree in Finance, Economics, Statistics, Business, or a related field- Experience identifying and resolving complex issues- Experience in a fast paced, dynamic organization- Experience developing customer relationships and influencing key decision ...

experience in model validation or front office in an area of electronic trading (either agency or market making) Excellence in probability theory, stochastic processes, statistics, and numerical analysis. Strong understanding of option pricing theory and quantitative models for derivatives. Excellent communication skills (written and verbal) Risk and control-oriented mindset ...

main criteria, we’d still love to hear you. Web and social analytics Dashboarding/visualization Working with cloud environments in an engineering capacity Statistics Marketing orchestration/ad tech tools/stacks (Salesforce/Braze/Adobe/DSPs etc) Basic customer segmentation and modeling Test and learn programmes ...

Institute and Faculty of Actuaries) or FCAS (Fellow of the Casualty Actuarial Society) Degree in Mathematics, Actuarial Science or any other scientific discipline (Statistics, Physics, etc.) or equivalence Locations Level 6, London, United Kingdom, EC2N 4BQ, GB About Us As a leading global reinsurer, SCOR offers its clients a diversified ...

question as neededComfortable handling ambiguous concepts and breaking down complex problems into manageable piecesAbility to apply critical thinking and creative problem-solving skillsQualificationsDegree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant evidence of continuous professional development in automation or AIExperienceSignificant experience delivering business process improvement, automation ...

Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel ...

Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hireCan travel ...

with cross-functional partners across Risk Intelligence, Data Engineering, and Product. Qualifications What do you need?: Education: A degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field). Statistical Integrity: Strong mathematical and statistical fundamentals with a proven track record of applying statistical ...

foster a culture of rigorous learning and experimentationWe'd love to hear from you if you...Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative disciplineAre proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)Have experience productionising machine learning models ...

related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

Scientist or in a closely related role Strong Python skills, including the ability to prototype analyses and write clear, reliable scripts. Solid knowledge of statistics and standard statistical methodologies. Practical understanding of experimentation and A/B testing, including how metrics and results should be calculated and validated. Familiarity with ...

integrate insights into the planning process About You To be our Editorial Insights Specialist, you will have: Bachelor's degree in business, strategy, statistics, decision science, or a relevant combination of education and experience Experience in web analytics, digital marketing, and site optimization roles Experience with Adobe Analytics, Google Analytics ...

business, procurement, finance, legal and internal stakeholders for sizeable commercial/enterprise deals Bachelor's degree, or MBA in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Experience creating and implementing long‐term transformational account strategies in a customer‐facing role or equivalent Knowledge of the Telecommunications industry Preferred ...

Experience working with APIs Advanced Excel and strong 80/20 analytical judgement Understanding of semantic data models and good analytics engineering practices Basic statistics, experimentation and causal measurement knowledge Understanding of Data Science, automation and LLM principles dbt experience is helpful but not essential LEADERSHIP AND STAKEHOLDER SKILLS Strong ...

test hypotheses, not just ship features. Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda ...

need from you: Work Experience: Relevant experience working with financial data sets preferred. Experience working with SQL is preferred Educational background: Economics, Mathematics, Statistics or similar degree is preferred. Interpersonal skills/Communication: You are a strong verbal and written communicator, whether discussing clients’ portfolios, current financial trends, and ability ...

innovation to improve performance including solution ideation, implementation support and post-implementation monitoring. Inform and deliver client reporting packs including financial performance, operational statistics, and value-add analytics to maximise the value delivered for our client partners. This would be in conjunction with operations, finance, HR, and any other relevant ...

model development through validation, deployment,monitoringand long-term maintenance. Deeply trained in a quantitative discipline, ideally educated to PhD level in Computer Science, Statistics, Applied Mathematics,Physicsor a related field. Equivalent depth developed through industry experience is equally valued, we care about the depth ofexpertiserather than the credential. Fluent ...