Senior Software Engineer - Risk

Min Experience: 4+ years

Location: Bengaluru, Karnataka, India
JobType: full-time

We are seeking a highly skilled Senior Software Engineer – Risk to design, develop, and enhance next-generation risk management solutions for institutional clients and internal teams. The role combines strong software engineering expertise with quantitative risk knowledge to build scalable, reliable, and high-performance risk technology.

You will work closely with risk professionals and engineering teams to evolve risk infrastructure, improve risk management processes, and develop robust solutions for complex trading environments.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Financial Engineering, Mathematics, Physics, or a related technical discipline.
• 4+ years of professional experience in quantitative risk, risk technology, or a closely related role.
• Strong experience working with risk management systems in trading environments, such as hedge funds, investment banks, or financial institutions.
• Good understanding of financial products and derivatives across multiple asset classes.
• Strong software engineering fundamentals, including object-oriented programming, system design, and distributed architectures.
• Strong hands-on programming experience with Python.
• Experience working with Linux and AWS environments.
• Ability to design and develop scalable, robust, and performant software systems.
• Strong analytical and problem-solving capabilities.
• Excellent communication and collaboration skills.
• Proactive approach with strong ownership and ability to work effectively in a fast-paced environment.

• →Architect and develop scalable, reliable, and high-performance risk management solutions.
• →Design, build, maintain, and enhance proprietary risk tools, infrastructure, data platforms, and processes.
• →Develop technology solutions that balance speed, accuracy, scalability, and reliability.
• →Work closely with quantitative risk professionals and cross-functional engineering teams to improve the overall risk management technology stack.
• →Build robust systems capable of supporting institutional trading and risk management requirements.
• →Design and implement distributed systems and software architectures for complex risk applications.
• →Identify opportunities to improve system performance, reliability, automation, and operational efficiency.
• →Troubleshoot and resolve complex technical and risk-related issues.
• →Contribute to engineering best practices, system design, code quality, and technical documentation.
• →Mentor and coach engineers on developing, deploying, and maintaining risk technology solutions.
• →Take ownership of projects and drive them from design through implementation and production support.

• Quantitative Risk / Quant Risk
• Risk Management
• Python
• Software Engineering

• Trading / Trading Systems
• Derivatives
• Distributed Systems
• AWS
• Linux