326 to 350 of 698 Statistics Jobs in London

research findings and strategic recommendations to senior stakeholders and cross-functional partners. Basic QualificationsAdvanced degree (Master's or PhD) in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related field.5+ years of experience in quantitative research related to execution/trading algorithms at a sell-side ...

quantitative roles relating to investment strategy or asset allocation; backgrounds across buy-side, sell-side and advisory organisations will be considered* Excellent foundations in statistics and econometrics; experience analysing large data sets preferred* Proficiency in programming; Python required, with MATLAB a plus* Proficiency in AI toolkit; Claude code, Copilot ...

real pricing or promotional decision, not textbook familiarity: can describe, unprompted, how they handled confounding and selection bias on an actual dataset. Applied statistics/econometrics strong enough to defend a specific model choice (why OLS, why a GLM, why not a black-box model) rather than defaulting to whichever ...

years' experience in quantitative research, quantitative trading or systematic strategy development. Strong Python programming skills and experience building research pipelines. Solid understanding of statistics, probability, time series analysis and machine learning techniques relevant to financial markets. Experience designing rigorous back testing and model validation frameworks. Experience working with large structured ...

least two of these skills: Strong analytical and problem-solving skills Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing applications over large amounts of data ...

role, we are looking for candidates to have the following skills and experience: Essential criteria Master's degree (already awarded) in Data Science, Epidemiology, Statistics, Computer Science, Health Informatics, or another relevant quantitative discipline Demonstrated experience conducting quantitative or statistical analysis of health-related data, including data management, cleaning ...

general framing could replace both separate models is an open research question. The requirements Essential: Statistical foundations. You have a background in probability and statistics from a quantitative field. You reason about uncertainty and calibration as first‐order concerns. Production ML. You have built and shipped supervised ML models ...

language that we use here! Strong willingness to fight for good outcomesBias towards progress over perfectionBSc in Computer Science, Maths or Statistics or related discipline Bonus skills & attributes Previous experience in data analytics, or statistical role#LI-HybridUnleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas ...

data modeling, pipelines, validation, lineage, error handling). Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing). Bachelor's in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferredCFA, CPA, CIPM, CAIA, and/or FRM preferred, but not requiredProblem ...

solving skills Candidates should have at least three of the following skills: Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing applications over large amounts ...

findings and strategic recommendations to senior stakeholders and cross‐functional partners. Basic Qualifications Advanced degree (Master's or PhD) in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related field. 5+ years of experience in quantitative research related to execution/trading algorithms at a sell ...

work-related duties as assigned. Minimal travel may be required. QUALIFICATION REQUIREMENTSPrevious Rshiny experience is required for this role.-PhD or MS in biostatistics, statistics, mathematics or data scientist with a strong emphasis on computing/informatics.-At least two years of experience as statistician with significant time spent ...

external collaborations, or contributions to industry working groups in statistical innovation or quantitative methods. Education/Certifications (essential):• MS/MSc or PhD in statistics, mathematics or another relevant quantitative discipline.Language(s) (essential):• Fluent in English, with eWe are committed to creating a workplace where everyone feels heard, valued ...

marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data. Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. Build … Technical Skills Strong 3–4 years’ experience in marketing effectiveness/MMM and analytics/data science. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure ...

dashboards to translate model outputs into strategic recommendations. Ideal candidates have 1–3 years of analytics experience, MMM expertise, and a background in statistics or econometrics. #J-18808-Ljbffr ...

collaborate with Capital Markets, Credit Risk, and Commercial teams. The role requires strong SQL; Python and Tableau experience are highly beneficial. A Finance/Statistics/Economics/Math degree is preferred, with a focus on data-driven decision making and pricing optimization. #J-18808-Ljbffr ...

will own market and product-line analysis, build the analytics backbone for business reviews, and present actionable insights to senior leadership. Strong SQL, Python, statistics, and BI tool experience are essential. #J-18808-Ljbffr ...

innovate using advanced AI techniques in financial services. This role demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine ...

learning techniques. Strong Python programming skills and experience with common data science libraries such as Pandas, NumPy and Scikit-learn. A solid understanding of statistics, time-series analysis and predictive modelling. #J-18808-Ljbffr ...

data sets to push significant ideas and decision support tools to investment teams Qualifications Pursing a bachelor’s or higher degree in statistics, engineering, economics, business, computer science, or physics Intellectual curiosity with a genuine interest in investment Professional demeanor, a capability to learn, think, and react quickly, along with ...

purchasing decisions. Explore how AI can improve the speed and quality of data research workflows. Your Skills & Experience Strong commercial experience across data science, statistics or quantitative research. Deep technical expertise in statistical analysis, data modelling and messy real-world datasets. Strong Python and SQL capabilities. Experience defining hypotheses ...

results clearly. Produce clean, tested code; use Git and deploy to production. Automate and scale quantitative research workflows. Requirements Master’s in Mathematics, Statistics, Computer Science, Economics or Financial Engineering. 3–5 years as a quantitative analyst/programmer in asset management or investment banking. Strong grounding in probability theory ...

Support the adoption of AI and advanced analytical techniques to improve research efficiency and quality. Your Skills & Experience Strong commercial experience in data science, statistics, quantitative research, or a related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality ...

match live performance Translate mathematical models into robust production code in collaboration with engineers Required qualifications & skills Advanced degree (MSc/PhD) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a similar quantitative field Strong research skills and experience applying mathematical and statistical tools to real-world problems ~3+ years ...

delivery team Sets engineering standards (testing, deployment hygiene, code quality) Working with non-technical stakeholders, problem framing mindset. Advanced degree in a quantitative field (statistics, analytics, computer science, engineering or similar) Able to collaborate across European and North American time zones English essential; Spanish a strong plus ...