Python Quantitative Developer (Credit & Capital Management)
Posted Today by Quanteam UK
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Python Quant Developer role focuses on enhancing analytics and tools for risk measurement and capital management within a quantitative environment. The position involves developing Python-based solutions, supporting capital calculations, and collaborating with various teams to deliver scalable solutions. Candidates should possess strong programming skills and experience in quantitative finance, particularly in credit risk and capital frameworks. The role is based in London and emphasizes a commitment to diversity and innovation within the workplace.
Key Responsibilities:
- Develop and maintain Python-based analytics for credit risk and capital management
- Support capital calculations and reporting (e.g. regulatory or internal frameworks)
- Build tools for risk measurement, data analysis, and workflow automation
- Collaborate with quants, risk, and technology teams to deliver scalable solutions
- Contribute to the improvement of existing analytics and infrastructure
Key Skills:
- Strong programming skills in Python
- Experience working in quantitative / risk / capital management environments
- Understanding of credit risk and/or capital frameworks
- Ability to work with large datasets and analytical models
- Exposure to regulatory capital frameworks (e.g. Basel, FRTB)
- Experience with data pipelines or quantitative libraries
- Background in finance, mathematics, or a related field
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Overview We are seeking a Python Quant Developer to support initiatives across Credit and Capital Management. The role focuses on building and enhancing analytics and tools used for risk measurement, capital calculations, and credit-related workflows within a quantitative environment. You will: Develop and maintain Python-based analytics for credit risk and capital management Support capital calculations and reporting (e.g. regulatory or internal frameworks) Build tools for risk measurement, data analysis, and workflow automation Collaborate with quants, risk, and technology teams to deliver scalable solutions Contribute to the improvement of existing analytics and infrastructure You will have: Strong programming skills in Python Experience working in quantitative / risk / capital management environments Understanding of credit risk and/or capital frameworks Ability to work with large datasets and analytical models Exposure to regulatory capital frameworks (e.g. Basel, FRTB) Experience with data pipelines or quantitative libraries Background in finance, mathematics, or a related field WHO WE ARE Our Expertise We provide high-impact consulting across five key domains: Quantitative Finance — Model design, implementation and validation. Risk & Regulatory — Risk frameworks and regulatory transformation. Data & AI — Data optimisation and AI adoption with strong governance. Digital & Technology — Cloud, engineering, automation and digital solutions. Transformation — Change management and large-scale delivery programmes. Our Commitment Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities. We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.