Sr Software Engineer - Risk

Weekday AI (YC W21); Bengaluru; On-site; INR 6,000,000 - 7,000,000; Full time

Job summary

Weekday AI (YC W21) in Bengaluru, India is seeking a Senior Software Engineer - Risk to design, develop, and enhance next-generation risk management solutions for institutional clients and internal teams. The role blends strong software engineering with quantitative risk knowledge to build scalable, reliable risk technology.

You will collaborate with risk professionals and engineering teams to evolve risk infrastructure and develop robust solutions for complex trading environments, ensuring

Qualifications

• 4+ years of professional experience in quantitative risk or risk technology.
• Strong understanding of risk management in trading environments.
• Excellent communication and collaboration skills.
• Proficiency in Python and Linux environments.
• Experience with AWS and distributed systems is a plus.

Responsibilities

• Architect scalable, high-performance risk management solutions.
• Develop risk tools, data platforms, and infrastructure.
• Balance speed, accuracy, scalability, and reliability in software.
• Collaborate with risk professionals and engineering teams to improve risk tech stack.
• Build systems to support institutional trading and risk management needs.
• Design distributed architectures for complex risk applications.
• Identify opportunities to improve performance, reliability, and automation.
• Mentor engineers on risk technology deployment and production support.

Skills

Quantitative Risk

Risk Management

Communication

Education

Bachelor's/Master's in a technical field

Tools

Python

Linux

AWS

Job description

Job Description

This role is for one of the Weekdays 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.

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

• Bachelors or Masters 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