desks and 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 More ❯
desks and 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 More ❯
will work alongside our team on software solutions applicable to FEA simulation of machines' dynamics and strength characteristics. Responsibilities: Develop mathematical models, solution algorithms, and computational methods for applied mathematics problems in the field of mechanics of deformable solids. Design, develop, and implement software tools and applications for rotor dynamics analysis and structural simulations, simulation of performance and dynamic coefficients More ❯
back to the team Drive to want to own projects and put forwards ideas and recommendations to enhance the business and how they manage their data Desirable : Degree in mathematics, statistics, or computer science Experience with DevOps tools (Docker, Kubernetes, etc.) Exposure to machine learning concepts What you'll get: Salary up to £55k Flexible hybrid model – only 1 day More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
The MathWorks, Inc
model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations. Learn More: Join our customer facing team that combines passion for maths, engineering, software and MATLAB. Leverage your technical and interpersonal skills to advise and help our leading UK aerospace customers to improve their products and development processes. Work with and extend More ❯
This is a role that values curiosity, innovation, and is bridging academic with financial insight. What experience you'll need to apply: A PhD in a quantitative discipline (e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years Strong programming skills in Python or a similar language Experience with machine learning, NLP, or statistical modelling A More ❯
of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have relevant experience Ideally looking for 3+ years' experience within a similar role We're looking More ❯
advancing machine learning within the trading community. Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts. Masters or PhD in Statistics, Physics, Mathematics (or related subject). Desire to work within a collaborative, team-driven environment. Reliable and predictable availability Benefits include: Medical, dental and vision insurance Group Term Life and AD&D More ❯
or order routing logic Strong analytical skills and a bias toward proactive problem solving Clear communicator who can explain technical findings to commercial or client teams Undergraduate degree in Mathematics, Computer Science, Engineering, Finance, or related quantitative field Familiarity with SQL, Excel, or BI tools for reporting is a plus Interest in working at the intersection of trading systems, data More ❯
or order routing logic Strong analytical skills and a bias toward proactive problem solving Clear communicator who can explain technical findings to commercial or client teams Undergraduate degree in Mathematics, Computer Science, Engineering, Finance, or related quantitative field Familiarity with SQL, Excel, or BI tools for reporting is a plus Interest in working at the intersection of trading systems, data More ❯
City of London, London, United Kingdom Hybrid / WFH Options
McGregor Boyall Associates Limited
institutional clients worldwide Backend systems supporting equities, futures, and listed derivatives trading What They Needs Expert-level Java development with strong object-oriented design principles Degree in Computer Science, Mathematics, or Engineering Hands-on experience building trading systems (execution algorithms, risk trading, smart routing) Deep understanding of equity market microstructure and institutional trading workflows Proven ability to implement quantitative models More ❯
or order routing logic Strong analytical skills and a bias toward proactive problem solving Clear communicator who can explain technical findings to commercial or client teams Undergraduate degree in Mathematics, Computer Science, Engineering, Finance, or related quantitative field Familiarity with SQL, Excel, or BI tools for reporting is a plus Interest in working at the intersection of trading systems, data More ❯
and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research - Experience programming in Java More ❯
product, account, and technical teams to ensure that testing is fully integrated with each team. What we want from you Minimum 2:1 within a numeric based degree i.e. Maths, Economics, Physics, Computer Science etc. German and/or French language competency is essential Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and VLOOKUP's More ❯
maintain data systems and databases. Stay updated on emerging trends and technologies in data analysis. Improve data collection and analysis processes. Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proficiency in statistical analysis and data visualization tools. Strong SQL skills and experience with relational databases. Knowledge of programming languages like Python or R More ❯
risk-adjusted returns Collaborate cross-functionally with product, finance, compliance, and operations teams to align risk management with business strategy Your Skills and Experience Degree in Finance, Economics, Statistics, Mathematics or related field Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending Solid skills More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
risk-adjusted returns Collaborate cross-functionally with product, finance, compliance, and operations teams to align risk management with business strategy Your Skills and Experience Degree in Finance, Economics, Statistics, Mathematics or related field Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending Solid skills More ❯
Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Steadman & Chase
CI/CD pipelines for efficient development and deployment. Exceptional communication and collaboration skills to work effectively with cross-functional teams. First-Class Bachelor’s degree in Computer Science, Mathematics, Physics, or Engineering. Hybrid work model: 2 days per week in the office. Our Client’s Work Culture Collaborative Environment: Our client values teamwork, with technologists partnering closely with traders More ❯
CI/CD pipelines for efficient development and deployment. Exceptional communication and collaboration skills to work effectively with cross-functional teams. First-Class Bachelor’s degree in Computer Science, Mathematics, Physics, or Engineering. Hybrid work model: 2 days per week in the office. Our Client’s Work Culture Collaborative Environment: Our client values teamwork, with technologists partnering closely with traders More ❯
disruptive 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 More ❯
disruptive 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 More ❯
Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Markerstudy Group
Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Steadman & Chase
CI/CD pipelines for efficient development and deployment. Exceptional communication and collaboration skills to work effectively with cross-functional teams. First-Class Bachelor’s degree in Computer Science, Mathematics, Physics, or Engineering. Hybrid work model: 2 days per week in the office. Our Client’s Work Culture Collaborative Environment: Our client values teamwork, with technologists partnering closely with traders More ❯