Senior PySpark Developer - Financial Risk & AnalyticsPremier Investment Bank | Canary Wharf, London | £750-£825 per day (Inside IR35) | Hybrid (3 days onsite)
Are you an experienced PySpark developer with a strong background in financial markets? Our client, a leading investment bank, is seeking a talented senior developer to join their Risk & Analytics team.
The Role
You'll be responsible for building and optimizing high-performance data pipelines that power critical risk calculations, trade analytics, and regulatory reporting functions. As a key technical contributor, you'll work with massive financial datasets using cutting-edge big data technologies.
Key Responsibilities
- Design and implement scalable PySpark solutions for processing large-scale financial data
- Develop distributed computing frameworks for risk modeling and regulatory compliance
- Optimize spark performance through effective partitioning, caching, and memory management
- Build robust data pipelines for market risk analytics and reporting
- Maintain high code quality through comprehensive testing and CI/CD integration
Required Skills & Experience
- Deep expertise in Python and core Spark concepts (RDDs, DataFrames, Spark Streaming)
- Proven experience with financial markets, particularly risk management systems
- Hands-on knowledge of market risk concepts (VaR, Greeks, scenario analysis)
- Proficiency with Hadoop ecosystem and version control workflows
- Strong mathematical aptitude and analytical problem-solving skills
This is an excellent opportunity for a senior developer looking to work on challenging problems in a dynamic financial environment. The successful candidate will have immediate impact on business-critical systems.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.