Senior Python Developer (Risk Management Platforms) (only Immediate joiner accepted)
Luxoft India
Location
🇮🇳 India
Type
Full-time
Salary
Undisclosed
Posted
6d ago
Job Description
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