26 to 42 of 42 Statistics Jobs in East London

Extremely passionate about trading and markets • Experience or strong interest in crypto markets • Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics • Strong experience developing statistical models in a trading environment • Deep understanding of optimization theory • Excellent programming skills in Python and understanding of Git More ❯

products. Partner with the doers. Sit with product managers, data scientists, investigators, and sanctions experts – translate fuzzy problems into clean, testable code. QUALIFICATIONS: Bachelor’s degree in Computer Science, Statistics, Engineering, or a related field. 2+ years of professional experience in software or data engineering. Ability to work standard European time-zone hours and legal authorisation to work in your More ❯

track record of profitable trading strategy development, preferably in crypto, FX, or equities. Proficiency in Python and/or C++ for quantitative research and model development. Strong understanding of statistics, machine learning, time-series modeling, and optimization techniques. Familiarity with crypto market structure, trading APIs, and DEX/DeFi ecosystems. Nice-to-Have: Experience working with blockchain data (on-chain More ❯

regulators. Produce clear, comprehensive documentation to support transparency and model governance. What you’ll bring: A degree in a technical or quantitative field such as Climate Science, Mathematics, Physics, Statistics, or Computer Science. Proven experience in developing or applying climate models within a scientific or financial context. Solid understanding of market risk principles and trading book dynamics. Strong programming skills More ❯

for enthusiastic self-starters with a proven ability to apply advanced quantitative analysis to real-world social, political, or corporate challenges. The ideal candidate will pair deep understanding of statistics and social science with hands-on experience working with complex datasets and building or deploying analytical models. They will be able to extract reliable insights, visualise complex information clearly, and … An excellent academic record, including a undergraduate degree in a STEM subject with a strong data science component or equivalent. Strong mathematical ability - particularly in linear algebra and Bayesian statistics A minimum of four days a week in our Holborn office, preferably Monday to Thursday Ability to manage time effectively and tight deadlines; flexibility to adapt to different projects and … client needs The ability to visualise complicated data in the simplest possible way Desirable: Advanced degree in a quantitative field such as statistics and/or programming/data science Experience manipulating and processing data collected from opinion polling or survey research. Familiarity with macOS/Unix/Linux command line tools Advanced PowerPoint and Excel skills. Experience using R More ❯

idea generation, data analysis, and backtesting. Contributing to the research and trading pipeline, including Risk and Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models More ❯

useful). Ideal background 3-5 yrs (Minimum) analytics in trading, marketplace, media or e-commerce settings. Strong SQL and Python for big-data wrangling & modelling. Solid grasp of statistics, pricing or yield optimisation. Clear, concise communicator who can translate numbers into action. Curious mindset-happy to reverse-engineer legacy logic and propose smarter approaches. Desired Skills and Experience Key More ❯

proven track record of contributions to production strategies. Strong programming skills in Python (or similar), and comfort working with large, noisy datasets. A highly analytical mindset with fluency in statistics, probability, and time-series analysis. Advanced degree (Master’s or PhD) in a quantitative discipline preferred, but not required. Why This Role: Join a high-conviction, low-politics team that More ❯

culture that supports your wellbeing and personal growth. What We’re Looking For: 3+ years of experience in data science, machine learning, or applied AI roles. Strong background in statistics, predictive modeling, and advanced machine learning techniques. Proven ability to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in More ❯

trends to deliver thoughtful commercial insight CANDIDATE PROFILE//Candidates for this position must have: Educated to degree level (in a relevant finance related subject e.g. Economics, Mathematics, Statistics, Accountancy) Experience of working in a Professional Services environment is beneficial but not essential Experience of using visualisation tools, e.g. Power BI, would be beneficial Advanced Excel skills and a More ❯

communication and collaboration skills, with the ability to work effectively with clients and team members Preferred, but not essential: an undergraduate degree in a quantitative field such as Economics, Statistics or Applied Mathematics What Makes You Stand Out Proven success in managing and optimising Paid Search campaigns A test and learn mindset , always striving to challenge and improve current practices More ❯

reduce system downtime. Write post incident review documents and suggest/implement recommendation plans to reduce/prevent further incidents. Test business applications, network, and server performance, provide performance statistics and reports, develop strategies for maintaining and improving core infrastructure. Adherence to all IT security policies and assistance in enforcing and monitoring of IT security policies. Be able to spot More ❯

you... Educated to undergraduate level with a preference for top-tier universities. Keen to see candidates with a degree in Risk Management, Risk Management and Insurance, Business Administration, Economics, Statistics, Engineering, Law, Environmental Science, or other related fields Desirable to have a relevant MSc or MBA. Ideal candidates will have at least 8 years of relevant experience in professional services More ❯

autonomy to research whichever methods you felt would be best suited to the problem at hand REQUIREMENTS: A strong mathematical understanding of the fundamentals of Machine Learning and core Statistics Experience in doing research on cutting-edge models either in industry or academia. Passionate about learning new skills and techniques. Comfortable finding and reading academic papers to generate new research More ❯

and long-term maintainability Required Experience Confident programmer in a statically typed language (e.g. Go, Java, C++) Strong background in distributed systems or backend platform engineering Solid understanding of statistics, data quality metrics, and applied ML concepts Experience with relational databases (Postgres, MySQL, etc.) from both usage and administration perspectives Ability to analyse noisy data and design tooling to surface More ❯

Principal Software Engineer, you'll be instrumental in developing sophisticated predictive models that forecast the outcomes of sporting events. You'll be working with strong quants coming from and statistics background, with a keen eye for problem-solving. You'll work across the full stack, contributing to both front-end and back-end development. This is a hands-on technical More ❯

market research field Preferred qualifications: • Experience translating complex data sets into clear and compelling written narratives • Strong presentation skills specifically speaking about research methodologies and findings • Understanding of basic statistics • Demonstrated ability to collaborate effectively across internal teams • Proficiency in MS Excel, Word, SPSS, Tableau More ❯