Role Overview

We’re seeking a future team member for the role of VICE PRESIDENT, FULL-STACK ENGINEER to join our RISK ENGINEERING team. This role is located in Pune.

Responsibilities

Design, develop, and enhance high-performance risk management applications using Python and C++.
Collaborate with cross-functional teams to architect robust, scalable systems that handle large datasets for market and credit risk analysis.
Implement and support risk analytics engines, scenario analysis, stress testing, and real-time market data ingestion.
Develop microservices and APIs using Python/C++, integrated with MongoDB and SQL Server backends.
Ensure high reliability and performance of risk systems by integrating robust messaging architectures using Kafka or MQ or EMS.
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.
Work with Quant teams to implement models for stress testing, scenario analysis, VaR (Value at Risk), and other risk metrics.
Ensure data accuracy and consistency across various sources, enhancing data pipelines and integrations.

Requirements

Bachelor’s degree in Computer Science, Engineering, Finance, or related field; advanced degree a plus.
Proficiency in Python, C++, and/or C#, Messaging Queues (MQ/Kafka/EMS), Databases (SQL, Mongo DB) with hands-on experience in designing and developing Risk Management applications.
10+ years of experience in software development, with a proven track record in Python and C++.
Significant experience in financial services, specifically within Risk Management or related fields.
Prior experience in building risk models, risk reporting frameworks, or risk data warehousing system.
Experience with Public or Private cloud-native development (AWS, Azure).
Familiarity with containerization technologies (Docker, Kubernetes).
Must have 1 year of development experience using AI based tools /editors like Windsurf, Cursor, GitHub Copilot, etc.
Must have good exposure of using AI/LLM for development, productivity improvements.
Must have good Debugging skills to support any production incidents.
3+ years of working in Agile/POD with Scrum/Kanban based execution.