101 to 125 of 774 Mathematics Jobs in London

market data feeds Work on price distribution and interest rate curve building Collaborate in a dynamic, agile environment Requirements: Strong Java development skills - Essential Degree in a numerate subject (Maths, Physics, Engineering, etc.) - Essential Interest in finance and learning about trading systems Interest Rate experience is a plus but not required If you're passionate about building high-performance systems More ❯

by the Engineering department into Bloomberg's IT systems. The Quant Library Architecture (QLA) team offers the opportunity to build experience at the cutting edge of C++ and financial mathematics, engaging with and influencing a wide variety of stakeholders of differing skill sets, to deliver scalable and strategic enterprise pricing and risk solutions. QLA is a small team of C++ … to see: Experience mentoring and coaching other team members. Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml. Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc. A keen interest in developing skills in these areas. Bloomberg is an equal opportunity employer and we value diversity at our company. We More ❯

pipeline, Python, SQL, AWS Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus More ❯

or machine learning techniques Strong 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 ❯

or machine learning techniques Strong 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 ❯

models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this More ❯

drive informed decision-making. Required Qualifications, Capabilities, and Skills: 3+ years of post-graduate professional experience. Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.). Demonstrated experience applying AI/ML techniques, preferably in the financial industry. Advanced Python programming skills, including code architecture. Ability to manipulate and More ❯

and collaboration. Who We’re Looking For: Exceptional candidates with an outstanding academic and professional track record. A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university. Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis. Strong analytical and innovative thinking skills, with More ❯

and collaboration. Who We’re Looking For: Exceptional candidates with an outstanding academic and professional track record. A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university. Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis. Strong analytical and innovative thinking skills, with More ❯

Data Engineer Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking More ❯

or Python Proficiency with a modern JS front end framework (React, Vuejs, Angular) Experience with cloud architecture (Azure, AWS or GCP) In depth knowledge of relational database Degree in Maths, Engineering, Computer Science or related Proven experience building scalable systems/applications in start ups OR greenfield projects in a larger org (eg start up like team incubated in larger More ❯

Participate in our escalation rotation (business hours only) as part of a global follow-the-sun support model. You'll Need to Have A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience Commercial experience and proficiency in Python or C++ Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills-especially across infrastructure, SRE, and product More ❯

and dashboard 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 More ❯

and dashboard 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 More ❯

of a collaborative, agile team—developing intelligent solutions that support fair and effective credit decisions. We’re looking for someone who: Has a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field Brings advanced SQL skills and strong experience with Python (pandas, sklearn, seaborn, etc.) Understands the mechanics behind ML algorithms—not just how to run them Enjoys More ❯

of a collaborative, agile team—developing intelligent solutions that support fair and effective credit decisions. We’re looking for someone who: Has a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field Brings advanced SQL skills and strong experience with Python (pandas, sklearn, seaborn, etc.) Understands the mechanics behind ML algorithms—not just how to run them Enjoys More ❯

and videos to enhance self-service and customer satisfaction. Providing insights to improve existing solutions and contribute to future product planning. Your profile : Degree in IT, Systems, Computer Science, Mathematics, or related STEM field. Minimum 2:2 classification. Experience with SQL databases and programming. Strong analytical, problem-solving, and creative thinking skills. Excellent English communication skills, both verbal and written More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

delivery of high-quality code and successful project outcomes Line manage and provide career mentorship to other software engineers REQUIRED SKILLS: Degree in a quantitative field such as engineering, mathematics, finance Experience of leading meetings and presenting technical concepts to stakeholders Experience of successfully leading complex software projects Experience of mentoring and managing software teams Experience of leading the design More ❯

exchange options franchise through new business initiatives with global impact. Qualifications Excellent academic record with a Bachelor's, Master's, or Ph.D. in a quantitative or engineering field (e.g., mathematics, finance, physics, computer science, engineering). Strong analytical and programming skills. 1-3 years of experience in quantitative financial modeling; experience with foreign exchange derivatives preferred. Creative problem-solving skills More ❯

experience in an analytical role using SQL. Data visualisation skills using Tableau/PowerBI/Excel is also essential, any consulting or modelling experience is desirable. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics, Data Science etc. You should have a strong enthusiasm for problem solving and a passion for data. You will be expected to provide analytical expertise, seek More ❯

tools Your Skills & Expertise 3-5 years experience working as a Business Analyst or equivalent role ideally for a B2B software product You have a degree in Computer Science, Mathematics, or any stem subject You have demonstrated experience working on investor reporting platforms, client portals, or performance dashboards You have strong analytical skills, preferably with demonstrable experience in financial modeling More ❯

approval lifecycle. Support day-to-day analytics needs and participate in the continuous improvement of the platform. Qualifications: Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Computer Science, Financial Engineering, or related quantitative field. Experience in a quantitative analytics or quantitative development role within a financial institution or a relevant industry. Strong experience in pricing More ❯