Sr Python Developer - Trading / Risk Platforms

Sr Python Developer - Trading / Risk Platforms

CRISIL

London, United Kingdom

Permanent

2026-07-29T08:08:17.313Z

24549577

Full time

Competitive

We are looking for a Python Developer with strong experience in trading and risk management systems within investment banking. The role involves building backend applications and data processing logic supporting risk calculations, trade workflows and reporting.

Key Responsibilities

• Develop and enhance Python-based applications for trading and risk use cases


• Build data processing pipelines and automation scripts for trade, risk and reconciliation workflows


• Work with large financial datasets to support PnL, risk and reporting requirements


• Contribute to system design, architecture and scalability decisions


• Collaborate with quants, traders and risk teams to translate business requirements into technical solutions


• Develop and integrate REST APIs and backend services


• Contribute to CI/CD pipelines and deployment processes


• Support production systems (L2/L3) including debugging, enhancements and performance optimization


• Write and maintain unit and integration tests. Ensure high code quality and test coverage


• Participate in code reviews and mentor junior developers where required

Must-Have Skills

• Strong experience in Core Python development (6-10 years)


• Strong SQL skills with ability to handle complex queries and large datasets


• Experience with Python libraries (Pandas, NumPy) for data processing


• Experience building RESTful APIs/services (Flask / FastAPI / Django)


• Strong understanding of data structures and performance optimization


• Experience working with large-scale data processing and performance optimization


• Working knowledge of Unix / Linux environments and basic shell scripting


• Experience working in Investment Banking / Capital Markets environments (Domain Experience)


• Hands-on exposure to: Market Risk / CCR / PnL / Trade lifecycle / Reconciliation


• Understanding of financial products such as: Derivatives (swaps, futures, options), bonds

Good-to-Have

• Exposure to PySpark or large-scale data processing


• Experience working with quants or pricing models


• Basic scripting (Unix / Bash)


• Prior experience in global banking environments


• Experience ~7-12 years of experience

Note: Candidates without capital markets / risk / trading domain experience will not be considered

#s1-Gen

We are looking for a Python Developer with strong experience in trading and risk management systems within investment banking. The role involves building backend applications and data processing logic supporting risk calculations, trade workflows and reporting. Key Responsibilities Develop and enhance Python-based applications for trading and risk use cases Build data processing pipelines and automation scripts for trade, risk and reconciliation workflows Work with large financial datasets to support PnL, risk and reporting requirements Contribute to system design, architecture and scalability decisions Collaborate with quants, traders and risk teams to translate business requirements into technical solutions Develop and integrate REST APIs and backend services Contribute to CI/CD pipelines and deployment processes Support production systems (L2/L3) including debugging, enhancements and performance optimization Write and maintain unit and integration tests . Ensure high code quality and
test coverage Participate in code reviews and mentor junior developers where required Must-Have Skills Strong experience in Core Python development (6-10 years) Strong SQL skills with ability to handle complex queries and large datasets Experience with Python libraries (Pandas, NumPy) for data processing Experience building RESTful APIs/services (Flask / FastAPI / Django) Strong understanding of data structures and performance optimization Experience working with large-scale data processing and performance optimization Working knowledge ofUnix / Linux environments and basic shell scripting Domain Experience (Critical) Experience working in Investment Banking / Capital Markets environments Hands-on exposure to: Market Risk / CCR / PnL / Trade lifecycle / Reconciliation Understanding of financial products such as: Derivatives (swaps, futures, options), bonds Good-to-Have Exposure to PySpark or large-scale data processing Experience working with quants or pricing models Basic scripting
(Unix / Bash) Prior experience in global banking environments Experience ~7-12 years of experience Note: Candidates without capital markets / risk / trading domain experience will not be considered