251 to 275 of 651 Statistics Jobs in London

recurring workflows, and scale insight delivery.What You Need to SucceedThe ideal candidate combines strong analytical and modelling capabilities with hands-on expertise in SQL, statistics, and data visualization.Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.Significant experience in data science … analytics, economics, statistics, or a related quantitative field, including hands-on experience analyzing large and complex datasets.Advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.Demonstrated experience applying advanced analytical methods—including machine learning, causal inference, synthetic controls ...

marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

support to analysts and key stakeholders. You will need to have the following: A PhD or equivalent advanced qualification in Machine Learning, Data Science, Statistics, Mathematics or another quantitative discipline. Experience building and deploying production-grade machine learning models, with a solid understanding of MLOps, Git and CI/ ...

exposure to interest rates swaps, fixed income futures, interest rate options and foreign exchange. Experience in interest rates curves construction methodologies• Knowledge of statistics, including time series analysis and regressions• Strong organization skills with the ability to present results clearly and iterate with PMs accordinglyThe ideal candidate will be someone ...

modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience. Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University. Expert in Python (KDB/Q is a plus). Demonstrated knowledge of quantitative finance, mathematical modelling, statistical ...

analysis of vital theoretical values What you bring to the team... Currently pursuing a bachelor’s, master’s, or PhD in mathematics, economics, physics, statistics, computer science, or an engineering‐related field with an expected graduation date between December 2027 and August 2028 Advanced quantitative, analytical, and problem‐solving skills ...

industry presentations and research publications Skills/Must Have Strong quantitative background with excellent analytical and problem-solving skills Python programming experience Understanding of statistics and experimental design Experience working with data science or machine learning workflows Interest in LLMs, generative AI and agentic systems Ability to analyse data ...

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 ...

derivatives.Employ technical proficiency in SQL, Python, Snowflake, and/or Oracle, along with data quality frameworks.Hold a Bachelor’s degree (or higher) in mathematics, statistics, engineering, computer science, finance, or a related quantitative field.Bring 3+ years of experience in global data operations or support teams within peer firms, with ...

include Product Analyst, Data Science - Product, CRO, Digital Analytics, or Experimentation Analyst)Education: Bachelor's Degree in an analytical field (maths, economics, engineering, statistics, computer science etc)Skills - Advanced SQL, AB Testing/Experimentation, Tableau/Looker, Excel etcProactive - ability to lead the analytics discussions , driving change, shaping approachKnowledge - ideally ...

aligned with regulatory expectations and internal governance standardsRequired Qualifications and Skills:Masters/PhD level in Finance, Economics or a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science or other analytical background)Proficient in Python, SQL, C++ and otherUnderstanding of: VaR (full revaluation vs grid-based methodologies), stressed ...

working within a modern data stack; direct experience with BigQuery and Looker is a strong advantage.Analytical acumenStrong understanding of measurement approaches, data analysis and statistics — you think carefully about what a metric actually means before you build it.Able to hold both the technical and business context simultaneously, ensuring every data ...

complex concepts. Willingness to work independently and in an energetic, fast‐paced, team‐oriented environment. BS or BA degree in computer science, math, physics, statistics, or a related field. Experience in a relevant financial domain is a plus. Equal Opportunity Employer Wellington Management is an equal‐opportunity employer. All qualified ...

external partners and internal departments including Engineering, Product and Sales on strategic product development and executionDefine, measure and manage impact of your work using statistics and data visualization toolsBuild quality data workflows to verify and validate third party dataCommunicate with impact, ensuring relevant information is articulated in a meaningful ...

team leadership skills: mentoring, cross‐functional collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting ...

model behavior, market dynamics, and new dataIdeal Candidate Profile as a Quant Researcher:Currently completing or recently completed a PhD or Postdoc in mathematics, statistics, physics, computer science, engineering, or related quantitative fieldsStrong background in statistical modeling, machine learning, and data analysisProficiency in Python and at least one compiled language ...

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. ...

NSFR.Drive continuous improvement of analytics tools and methodologies, incorporating industry best practices and emerging technologies. Required Qualifications Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Engineering, or a related quantitative discipline. Advanced degree preferred. Significant experience (typically 5+ years) in liquidity risk analytics, treasury functions, or financial risk management within ...

across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls**REQUIREMENTS*** Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering, or (Mathematical) Finance* Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset-backed ...

production execution Review research reports and articles that examine recent developments in the energy markets Qualifications: Pursuing Bachelors or Masters in Mathematics, Engineering, Finance, Statistics, Business, Economics, Energy, Computer Science, Physics or a related field of study Expected graduation date in 2028 Prior internship/exposure to the commodities markets ...

partners and internal departments including Engineering, Product and Sales on strategic product development and execution Define, measure and manage impact of your work using statistics and data visualization tools Build quality data workflows to verify and validate third party data Communicate with impact, ensuring relevant information is articulated ...

machine learning models for business application- Experience in applied research- PhD in a relevant field (engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field), or equivalent relevant work experiencePreferred qualification - Experience using managed ML/AI solutions- Experience with modeling tools such ...

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: ability ...

Communicate findings clearly, turning complex analysis into actionable insights for technical and non-technical audiences Qualifications Skills we're looking for: Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience Hands-on experience applying experimental design and causal inference techniques to real-world data Understanding ...

scale datasets to extract precise, detailed market insights. Advanced experience using Microsoft Excel for complex data modelling and reporting. An educational background in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field. Exceptional communication skills demonstrated by the ability to translate complex statistical data into clear, actionable business strategies ...