Senior Python Developer - Trading and Risk Platforms

Crisil — United Kingdom · Posted ~2 hours ago

Senior Full-time

Skills

Python Backend development Trading systems Risk management systems REST APIs SQL CI/CD REST API

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Summary ✨ AI‑Generated

A senior backend engineering role focused on Python development for complex financial platforms. The position involves building data pipelines, APIs, scalable services, and supporting systems used for analytics and operational workflows.

Highlights

Opportunity to develop financial technology systems involving data processing, risk calculations, and scalable backend solutions.

Description

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 casesBuild data processing pipelines and automation scripts for trade, risk and reconciliation workflowsWork with large financial datasets to support PnL, risk and reporting requirementsContribute to system design, architecture and scalability decisionsCollaborate with quants, traders and risk teams to translate business requirements into technical solutionsDevelop and integrate REST APIs and backend servicesContribute to CI/CD pipelines and deployment processesSupport production systems (L2/L3) including debugging, enhancements and performance optimizationWrite and maintain unit and integration tests. Ensure high code quality and test coverageParticipate 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 datasetsExperience with Python libraries (Pandas, NumPy) for data processingExperience building RESTful APIs/services (Flask / FastAPI / Django)Strong understanding of data structures and performance optimizationExperience working with large-scale data processing and performance optimizationWorking knowledge of Unix / Linux environments and basic shell scripting Domain Experience (Critical) Experience working in Investment Banking / Capital Markets environmentsHands-on exposure to:Market Risk / CCR / PnL / Trade lifecycle / ReconciliationUnderstanding of financial products such as:Derivatives (swaps, futures, options), bonds Good-to-Have Exposure to PySpark or large-scale data processingExperience working with quants or pricing modelsBasic scripting (Unix / Bash)Prior experience in global banking environmentsExperience ~7–12 years of experienceNote: Candidates without capital markets / risk / trading domain experience will not be considered