V
via Weekday AI, employer not namedBengaluru, India
Senior Software Engineer - Risk
Posted 2mo agoSoftware Engineer₹60L – ₹70L
This role is for one of the Weekday's clients
Salary range: Rs 6000000 - Rs 7000000 (ie INR 60 - 70 LPA)
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.
Requirements
- Key Responsibilities
- 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.
Requirements
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.
Must-Have Skills
- Quantitative Risk / Quant Risk
- Risk Management
- Python
- Software Engineering
- Good-to-Have Skills
- Trading / Trading Systems
- Derivatives
- Distributed Systems
- AWS