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.
RequirementsKey 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.
- 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.
- Quantitative Risk / Quant Risk
- Risk Management
- Python
- Software Engineering
- Trading / Trading Systems
- Derivatives
- Distributed Systems
- AWS
- Linux
Skills Required
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Financial Engineering, Mathematics, Physics, or related technical discipline.
- 4+ years of professional experience in quantitative risk, risk technology, or a closely related role.
- Strong experience with quantitative risk or risk management in trading environments (hedge funds, investment banks, 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.
- Hands-on programming experience with Python.
- Experience working with Linux environments.
- Experience working with AWS.
- Ability to design and develop scalable, robust, and high-performance software systems for institutional trading and risk management.
- Strong analytical and problem-solving skills, plus excellent communication and collaboration abilities.
- Mentoring and coaching engineers; ownership of projects through implementation and production support.
- Experience with trading systems (good-to-have).
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
