Senior Software Engineer - Risk
LocationBengaluru, Karnataka, India
Typefull-time
SenioritySenior
Experience4+ yrs
DepartmentWeekday's Client via platform
Company size10,000+ people
PostedAug 13, 2026 · 2mo ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
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
Trading / Trading Systems
Derivatives
Distributed Systems
AWS
Linux
Skills
Python
Linux
AWS
Distributed Systems
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
About the role
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.
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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
•
Linux