back end systems, ideally for customer-facing products Clear experience building and consuming RESTful APIs Bonus Points For: A strong numerical or technical background, underpinned by a degree in Maths, Physics, Computer Science, Engineering This is a high-impact opportunity to shape a major revenue channel at one of Europe's leading fintech innovators - with the freedom, tooling, and support More ❯
skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions. Basic Qualifications Bachelors/MS or PhD in a quantitative field - Applied Mathematics, Physics, Engineering, Computer Science. Meaningful experience in coding in an object oriented programming language Excellent written and verbal communication skills. Ability to work in a dynamic and fast-paced environment More ❯
understanding of architecture and system design principles Comfortable working in Linux environments and agile development settings Financial markets experience (particularly derivatives) is advantageous MSc or PhD in Computer Science, Mathematics, Physics, or another STEM field is preferred, but not essential with relevant experience This is a full time role, with flexibility for hybrid working in their London office, 1 or More ❯
the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science More ❯
drive to learn new ideas, and good judgment to deliver quick yet robust solutions. Basic Qualifications Bachelor's/MS or PhD in a quantitative field such as Applied Mathematics, Physics, Engineering, or Computer Science. Significant experience coding in an object-oriented programming language. Excellent written and verbal communication skills. Ability to work effectively in a dynamic, fast-paced environment More ❯
performance of existing strategies. Develop a deep understanding of global market structures and microstructure dynamics. Requirements Advanced academic degree (PhD or Master's) in a quantitative discipline such as Mathematics, Physics, Computer Science, or Engineering. Strong programming skills in at least one core language - Python , C++ , or Java . Proven experience in quantitative research or systematic trading environments. Excellent communication More ❯
experienced data science team of 30+ specialists. ✅ What You’ll Need: 5–7 years’ experience applying data science to business problems. Educated to at least degree level in Statistics, Mathematics, Machine Learning, Computer Science, Chemistry, Physics, Economics or related field. Advanced skills Python and SQL (Pyspark a bonus). Experience with statistical modelling and machine learning workflows. Confidence working across More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Omnis Partners
experienced data science team of 30+ specialists. ✅ What You’ll Need: 5–7 years’ experience applying data science to business problems. Educated to at least degree level in Statistics, Mathematics, Machine Learning, Computer Science, Chemistry, Physics, Economics or related field. Advanced skills Python and SQL (Pyspark a bonus). Experience with statistical modelling and machine learning workflows. Confidence working across More ❯
science libraries (NumPy, Pandas, scikit-learn) and backtesting frameworks 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 More ❯
science libraries (NumPy, Pandas, scikit-learn) and backtesting frameworks 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 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 ❯
the development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following More ❯
Employment Type: Full-Time
Salary: £35,000 - £40,000 per annum, Negotiable, Inc benefits, OTE
celebrated. 💰 Competitive Package : £35,000–£40,000 starting salary with clear progression pathways and performance-based bonuses. We’re looking for someone who has: 🎓 A degree in Data Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure More ❯
celebrated. 💰 Competitive Package : £35,000–£40,000 starting salary with clear progression pathways and performance-based bonuses. We’re looking for someone who has: 🎓 A degree in Data Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure 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 ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
How to Job Ltd
to solve unique financial challenges. Commit to continuous learning in financial analytics, tools, and best practices to enhance data analysis capabilities. Qualifications: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with SQL More ❯
Employment Type: Full-Time
Salary: £35,000 - £40,000 per annum, Negotiable, Inc benefits, OTE
and making proposals. Manage or mentor one presales consultant. Required Qualifications and Skills: BS/BA degree preferably in a quantitative subject such as finance, economics, engineering, computer science, mathematics, physics. At least five years of experience in a presales capacity targeting enterprise software solutions to hedge funds, investment managers, and other financial institutions. An understanding of financial products including More ❯
proposals and RFIs •Manage or mentor one sales consultant Required Qualifications and Skills: •BS/BA degree preferably in a quantitative subject such as finance, economics, engineering, computer science, mathematics, physics •At least five years of experience selling enterprise software solutions to financial institutions. •An understanding of quantitative finance sufficient to engage senior professionals on the buy and sell side More ❯
Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling More ❯
Quantitative Analyst, Agriculture Trading Our Commodity Quant Strategy team in London is dedicated to generating revenue through specialist methods from mathematics, science, and engineering. Working closely with the Agriculture trading desk, you will be part of a global team that focuses on derivative valuation, risk, automated trading, and data-driven decision making. At Macquarie, our advantage is bringing together diverse More ❯