Senior Python Developer (Risk Management Platforms) (only Immediate joiner accepted)

Project Description:

We are seeking an experienced and highly motivated Developer with a strong background in risk management systems to join our technology team. The ideal candidate will bring hands-on development experience in front-office risk, market risk, or credit risk platforms, and possess deep technical proficiency in Python, MongoDB, SQL Server, and real-time messaging platforms such as Kafka and/or IBM MQ.

Responsibilities:

Design, develop, and enhance high-performance risk management applications using Python and C++.

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 MongoDB 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

Mandatory Skills Description:

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 database development using MongoDB 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