In this role, you’ll make an impact in the following ways:
Design, develop, and enhance high-performance risk management applications using Python and PySpark.
Collaborate with risk managers, quantitative analysts, and front office stakeholders to translate requirements into technical solutions
- Implement and support risk analytics engines, scenario analysis, stress testing, and real-time market data ingestion
- Develop microservices and APIs using Python, integrated with Apache Impala and SQL Server backends
- Ensure high reliability and performance of risk systems by integrating robust messaging architectures using Kafka or MQ
- Participate in DevOps and CI/CD processes including testing, deployment automation, and monitoring
- Troubleshoot production issues, optimize system performance, and ensure compliance with regulatory and security standards
- 5+ years of experience as a developer in financial services, preferably within front office risk, credit risk, or market risk technology teams
- Strong programming experience with Python and PySpark and SQL Server
- Solid understanding of risk data models, VaR, PFE, credit exposure, and market risk sensitivities
- Experience with real-time messaging platforms (Kafka, RabbitMQ, or IBM MQ)
- Familiarity with risk analytics libraries, pricing models, or integration with vendor risk engines (e.g., Murex, Calypso, or proprietary systems)
- Experience working in agile development environments with source control (e.g., Git), automated testing, and CI/CD pipelines
- Bachelor’s degree in computer science, Engineering, Finance, or related field; advanced degree a plus.
To be successful in this role, we’re seeking the following:
- Experience with cloud-native development (Azure, AWS)
- Familiarity with containerization technologies (Docker, Kubernetes)
- Exposure to regulatory frameworks such as Basel III, FRTB, or CCAR
