626 to 650 of 702 Statistics Jobs in London

outside experts scrutinize our approach and trust the results. What you should bring 6+ years in a commercial, high-performing product organization doing applied statistics and data science - not solely academic or research-lab experience. Strong statistical and probabilistic reasoning , with hands-on fluency in confidence intervals, hypothesis testing, power … modeling, behavioral analysis, etc) This role isn’t for you if... You've only worked in academic or research settings and haven't applied statistics to real commercial product decisions. You prefer narrow, well‐scoped analytical problems over work that spans statistics, regulation, product, and customer context. You need complete ...

individuals who are passionate about quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets. Principal Responsibilities Efficiently monitor data flows across various systems, ensuring accuracy, completeness, and timeliness. Maintain and enhance the functionality and efficiency … provide high quality support on solving the issue both internally or with vendors. Qualifications/Skills Required Masters or bachelors in computer science, mathematics, statistics or other field with good coding skills 2 + years of financial industry experience preferred Programming expertise in Python or similar language Experience working with ...

customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research, or a related field. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus … probability and statistics).Experience with scalable ML (MapReduce, streaming).Ability to drive a project and work both independently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent verbal and written communication. Preferred Qualifications: Experience with JavaScript and prototyping languages such as Python ...

generative AI, RAG, prompt engineering, and agentic AI. Excellent Python programming skills and experience with modern AI and data science frameworks. Strong foundation in statistics, machine learning, and mathematical modelling. Experience designing evaluation frameworks for AI systems, including model performance and monitoring. Hands-on experience with Databricks, MLflow, Spark … technical audiences. Desirable Experience with AI agent frameworks and orchestration tools. Insurance or financial services experience. Postgraduate qualification in Computer Science, Mathematics, Statistics, Data Science, or a related discipline. City, London (Hybrid - minimum 3 days per week in the office) Compensation Base salary: £90,000 - 120,000 Annual bonus ...

systems. Engage in innovative research in quantitative finance, advanced statistical techniques, and data science. Knowledge and Experience Advanced degree (MSc or PhD) in Mathematics, Statistics, Physics, Quantitative Finance, Data Science, or a related field. Experience in quantitative finance or data science within financial institutions preferred, with proven record in model … with R, MATLAB, C++ or Java preferred. Working knowledge of relational databases (Oracle, Postgres, Snowflake) and version control tools (Git). Solid understanding of statistics, time series analysis, and financial derivatives pricing and risk management. Ability to work under pressure in a high-performance environment with tight deadlines. Excellent analytical ...

Take ownership to deliver results and meet critical deadlines. What we are looking for Highly numerical degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics, or Engineering. Several years of relevant work experience or equivalent educational training. Technical skills: Statistics, Probability Theory, Econometrics, Financial ...

with C#/.NET and SQL. Strong understanding of software design principles and object-oriented programming. Experience working with market data. Strong knowledge of statistics and probability. Ability to apply probability theory and numerical techniques to complex financial instruments. Experience with quantitative methods and mathematical finance. Understanding of investments … relevant discipline is expected, with a Master's or PhD preferred. Core Technology Stack C++ | Python | C#/.NET | Java | SQL | kdb | Mathematical Finance | Statistics & Probability | Monte Carlo | PDEs | Market Data | Quantitative Analytics | Pricing & Risk We offer Opportunity to work on bleeding-edge projects Work with a highly motivated ...

proprietary research system to implement new research ideas What You’ll Bring B.S. degree from a top institution in computer science, engineering, mathematics, statistics, operations research, physics or another quantitative discipline. Academic or practitioner experience in machine learning methodologies preferred 2-5 years’ experience working in a data driven research … PyTorch Experience with natural language processing technology, including LLMs and prompt engineering is a plus Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear algebra Nuanced understanding of economic and financial concepts and demonstrated intuition around applying these concepts in a quantitative environment Ability to work independently ...

mathematical and computer science methods and tools including hardware acceleration, advanced calculus, development including C++, Python, JavaScript React, mathematical finance/programming and statistics and probabilityDevelop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solversCollaborate closely with Traders, Structurers, and technology professionalsWork … quantitative modelling or analytics role, ideally in the financial sectorMust have technical/programming skills; C# .Net, SQL and C++ Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations and design numerical schemes to analyze complex ...

Senior Manager, Ads Solutions Engineering, LCS, Agency and Partners, GAP Share Senior Manager, Ads Solutions Engineering, LCS, Agency and Partners, GAP link Copy link Google place London, UK Advanced Experience owning outcomes and decision making ...

Practice Group/Department: Legal Innovation, Design & Technology - London Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada ...

Imperial College London invites applications for a full-time permanent faculty position at the Lecturer (Assistant Professor) or Senior Lecturer level, based in the Statistics Section of the Mathematics Department. The Statistics Section coordinates data science research across astrophysics, biology, finance and healthcare, and maintains strong links to Imperial ...

What you bring to the team... 1-3 years of experience in quantitative research with a focus on machine learning, signal processing, optimization, or statistics A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field Advanced quantitative, analytical and problem solving skills … ability to deploy those skills during time-sensitive situations A deep curiosity of analyzing large data sets using your knowledge of probability and statistics Familiarity programming in Python, C++, C or similar languages Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments ...

effectively communicating results to various stakeholders Potentially support and lead more juniors' members of the team Skills & Experience Required – Technical Either MSc in Statistics or a related field (e.g., Data Science or Mathematics), or another field (such as Computer Science, Engineering, Finance, etc) with some experience in statistics and 3+ … experience in a relevant role (e.g. sports quantitative analyst for a betting syndicate, a bookmaker or betting exchange); or a PhD or equivalent in Statistics or a related field (e.g., Data Science or Mathematics), or another field (such as Computer Science, Engineering, Finance, etc) with some experience in statistics Extensive ...

years of experience in quantitative trading, portfolio management, or a closely related field. An advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, or Data Science. Strong foundation in statistics, quantitative modelling, and data analysis, with hands-on experience using Python and SQL. Proven experience ...

contracting authority and typically requires a minimum of five years' continuous UK residence. Qualifications MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics ...

Minimum qualifications Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with … degree. Experience with Python, SQL, and statistical modeling. Experience working with generative AI agents. Preferred qualifications PhD degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python ...

Python, Snowflake and/or Oracle and related tools and DQ frameworks**The Expertise You Have:*** Bachelor’s degree (or higher) in mathematics, statistics, engineering, computer science, finance, or another quantitative field* 5+ years’ experience in global data operations and/or support teams in peer firm(s) with … demonstrable track record delivering the value described for this role* Experience with methods, tools, statistics, and best practices for autonomous and discretionary anomaly detection, and data quality workflow* Excellent written and verbal communication skills; experience working with technical, investment and senior leadership teams* Experience as a leader in a team ...

depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar. Strong grounding in experimentation and statistics — A/B testing, causal inference, and rigorous measurement of impact. An MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related ...

acceleration, advanced calculus, C++ including STL, C#, .NET, Java, object oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/programming and statistics and probability Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers Collaborate closely with Traders, Structurers … modeling or analytics role, ideally in the financial sector Must have technical/programming skills; C# .Net, SQL and C++ Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations and design numerical schemes to analyze complex ...

acceleration, advanced calculus, C++ including STL, C#, .NET, Java, object oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/programming and statistics and probabilityDevelop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solversCollaborate closely with Traders, Structurers, and technology professionals. … quantitative modeling or analytics role, ideally in the financial sectorMust have technical/programming skills; C# .Net, SQL and C++ Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations and design numerical schemes to analyze complex ...

mathematical and computer science methods and tools including hardware acceleration, advanced calculus, Java, Python, kdb, Structured Query Language (SQL), mathematical finance/programming and statistics and probability Collaborate closely with Traders and technology professionals. Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit … financial sector Must have technical/programming skills. Preferably use of Python, Java, SQL and/or q. Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the market behaviour, solve analytical equations and design numerical schemes to create pricing and risk models. Must also ...

businesses leveraging a wide variety of mathematical and computer science methods including advanced calculus, C++, object‐oriented design, Python, mathematical finance, statistics, probability and Machine Learning Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers Build a culture of responsible finance, good … modelling, development or analytics role, ideally in the financial sector Must have strong technical/programming skills; C++/python, Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations and design numerical schemes to analyze complex ...

Collaborate with product, engineering and commercial teams to define solutions and improve the key metrics. Who you are You hold a degree in mathematics, statistics, machine learning, or computer science. Rigorous with probability and statistics. Experimental design, causal inference. You reach for the right tool, and you know when … model from idea to production and monitor it. We use Python for ML/AI services and TypeScript around it, on AWS and PostgreSQL. Statistics you can defend. Experimental design, causal inference, measuring the real effect of an action — not just correlations. You know when a result is real, when ...

including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn. Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model behavior. A sound grounding in machine learning, including model validation … reinsurance industry, with an understanding of underwriting, claims or actuarial data. A postgraduate qualification in a quantitative or computational subject such as computer science, statistics, mathematics or a related field. Role LevelExpertise: A recognized specialist in applied AI, including large language models and agentic systems, underpinned by strong mathematical ...