1 to 25 of 321 Mathematics Jobs in London

/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics, or a related field. Experience in finance, marketing analytics, or e-commerce. More ❯

Experience with Python and analytical libraries such as Pandas and NumPy. Clear communication, analytical mindset, and problem-solving ability. Education & Experience Master’s degree (or equivalent) in Computer Science , Mathematics , Physics , or Engineering . Proven experience (3–8 years) working on KDB+/Q projects, ideally within a financial or trading environment. More ❯

strategies. Publish proprietary research (SSRN/peer‐reviewed journals/industry conferences) and participate in industry working groups , enhancing the firm's visibility. YOUR PROFILE PhD in Physics/Mathematics/Computer Science/Quantitative Finance or related STEM field (exceptional MSc considered with relevant work experience). 4–7 years in quantitative research/engineering within capital markets; proven More ❯

ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯

and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join Work directly with Front Office trading teams on next-gen algorithmic trading systems. Gain exposure to real-time analytics, predictive modelling, and high-performance systems. More ❯

and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join Work directly with Front Office trading teams on next-gen algorithmic trading systems. Gain exposure to real-time analytics, predictive modelling, and high-performance systems. More ❯

production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL; experience with ML frameworks (e.g. More ❯

scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization More ❯

scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization More ❯

is 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 More ❯

scale applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization More ❯

to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/ More ❯

. Optimise trading system performance and architecture across on-premise and cloud environments . Key Requirements of the Front Office Developer Master’s degree in Computer Science , Engineering , Financial Mathematics , or a similar quantitative field. 2–5 years’ experience in a software development or quantitative role. Strong programming skills in Python, C, C++, SQL , and/or C# . Solid More ❯

fast Get exposure to cloud computing (AWS/Azure), CI/CD pipelines, and AI tools What We’re Looking For A recent STEM graduate (Computer Science, Engineering, Physics, Maths, etc.) Strong coding ability in at least one of: Python, C++, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus More ❯

with advances in quantitative finance, computational techniques, and emerging technologies. Profile Strong programming experience in Python, C++, or C#; knowledge of NumPy, Pandas, and QuantLib advantageous. Solid understanding of mathematics, statistics, and numerical methods - including stochastic calculus, Monte Carlo simulation, and optimisation. Familiarity with derivatives pricing, risk metrics, and financial instruments across asset classes. Experience building low-latency systems and More ❯

Management and Leadership · Decision-making and Problem Solving Your Profile: · Minimum years of experience in a related Financial Services discipline with a bachelor’s degree in economics, Computer Science, Mathematics or Scientific discipline from a top university · Knowledge of Greeks (e.g. Delta, Gamma, Vega) & Financial Derivatives · Knowledge of VaR, FRTB and Stress testing calculation · Ability to delve deep into a More ❯

skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with More ❯

skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with More ❯

skills Logical Team working Creative Initiative Non judgemental Patience Qualifications Business A Level, grade C (Desired) Computer Science A Level, grade c (Desired) Economics A Level, grade C (Desired) Mathematics A Level, grade B (Desired) statistics A Level, grade c (Desired) About the Employer STATE STREET BANK AND TRUST COMPANY We are a global leader across investment servicing, markets and More ❯

models Experience building tools and technologies within systematic or discretionary investing units Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal More ❯

other business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical More ❯

is 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. This is an office-based role and as well as very competitive salaries, our More ❯

technologists to design, build, and improve the tools and applications that drive our business forward. Requirements Education and Qualifications Degree in a quantitative or technical discipline such as Engineering, Mathematics, Physics, Chemistry, or Computer Science (Bachelor's, Master's, or PhD) Technical Skills Strong programming skills, ideally with experience in Python, C#, and/or JavaScript Solid understanding of software More ❯

is 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.This is an office-based role and as well as very competitive salaries, our client More ❯

microservices, GCP, Redis, bullmq 2-6+ years professional software engineering experience (Back End or full-stack). First Class Bachelor's Degree in a relevant subject (Computer Science, Maths, Physics etc.) Design, implement and maintain Back End services and APIs in a microservices architecture Strong experience with Node.js Help improve CI/CD, testing and engineering best practices (we More ❯