26 to 50 of 63 Statistics Jobs in Central London

product teams. Present your work to technical and non-technical audiences, helping shape data strategy across industries. 🎯 What We’re Looking For: PhD in Computer Science, Machine Learning, AI, Statistics, Physics, Engineering, or a related field. Strong Python skills; Spark, SQL, and experience with large datasets is a plus. Proficiency with ML libraries (e.g. Scikit-learn, Pandas) and data visualisation More ❯

tools (such as PowerBI) to enhance user accessibility to quantitative insights and reports Requirements & Qualifications Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Physics, Statistics, Econometrics, or Quantitative Finance. 2–5 years of hands-on experience as a quant developer or analyst within a financial institution. Demonstrable Python experience in a collaborative, version-controlled production More ❯

on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the ML model More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

Data Analyst Are you passionate about turning data into clear, actionable insights? Do you enjoy working with a variety of tools to solve business challenges? Ready to join a leading retailer where your work will make a tangible impact? MacGregor More ❯

more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive … sports trading industry would be beneficial. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not More ❯

programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. More ❯

Collaboration: Contribute to cross-asset initiatives and research projects, working alongside peers from other quantitative functions across the platform. Requirements & Qualifications Degree in a quantitative field such as Mathematics, Statistics, Engineering, Physics, or Computer Science (advanced degree such as a Master’s or PhD preferred). Proven experience developing financial models in Python and bringing code into production environments. Strong More ❯

tech-driven company, we’d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance. A deep background More ❯

multiple priorities in a fast-paced setting A collaborative mindset with the ability to turn complex data into clear strategic direction Degree in a quantitative field such as Maths, Statistics, Data Science, or Economics Certifications in analytics tools (e.g. GA4, Power BI, Tableau) are a plus Apply Now You can apply for the Data Analyst position now by sending us More ❯

processes Perform other duties as assigned - prepare succinct, clear, and easy to follow documents that summarize findings and insights Minimum Qualifications Bachelor's degree in computer science, Mathematics, Economics, Statistics, or related field 8+ years of professional experience Strong Proficiency in SQL, MS Office Suite, particularly Word, Excel, and PowerPoint Ability to work independently and collaboratively within a team Effectively More ❯

and fostering a culture of growth and continuous improvement. Requirements Experience: 3–5 years delivering data solutions & products in a data rich environment Education: Bachelor’s degree in Engineering, Statistics, Economics, Science or a related field. Analytical Skills: Strong analytical and critical thinking capabilities to draw meaningful conclusions from complex datasets Problem-Solving: Ability to resolve complex challenges and provide More ❯

About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development … technical audiences. A self-starter who thrives in a fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please More ❯

to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. A degree in a quantitative discipline (e.g., economics, data science, or statistics) and relevant industry experience. More ❯

will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure More ❯

to enhance automation in quantitative strategy qualification and improve manual review efficiency through big model-driven methods. Role Requirement: Bachelor’s degree or above in relevant fields such as statistics, mathematics, computer science, etc. At least two years of experience in big data risk control analysis and modeling, preferably in industries such as banking, third-party payment institutions, or fintech More ❯

and performance evaluation. - Present findings to technical and non-technical stakeholders. - Contribute to long-term pricing strategy alongside product and business teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master’s with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently More ❯

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 ❯

more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required: Ideally a … MSc in Mathematics, Statistics, Data Science, Computer Science or Physics from strong University from across Europe. Proficient in several of the following: Python, MATLAB, C#, C++, Java Strong research background Mathematical and statistical modelling Excellent Mathematical skills Analytic mindset If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed) Spectrum More ❯

who will be responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented. What we're looking for: A strong background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python More ❯

for Junior Quantitative Researchers to be responsible for end-to-end strategy research. This is an excellent opportunity for PhD and Master’s graduates with a background in mathematics, statistics, computer science or a related field. Successful candidates will work in a collaborative environment where they will gain exposure to the full research pipeline from the front office while working More ❯

is a core requirement Strong proficiency in Python; Java is a bonus Track record of rigorous, creative research with impact Preferred Academic Background: PhD or strong Master’s in Statistics, Applied Mathematics, Physics, Computer Science, or another quantitative discipline Demonstrated ability to apply advanced statistical methods to real-world datasets Location: London-based, in office 5-days a week. This More ❯

Deep understanding of market microstructure and electronic execution Bachelor’s/Master’s/PhD in a quantitative field (e.g. Mathematics, Physics, Computer Science, Engineering) Strong grasp of probability, statistics, and linear algebra Ability to handle high-pressure, high-frequency environments with precision and accountability Preferred Experience Experience with low-latency systems and infrastructure optimization Knowledge of FIX protocol, market More ❯