Weekday AI

Proactive software engineer recruitment via referrals

Senior Software Engineer - Risk

Software EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, India₹6M - ₹7MIn-person

About the Job

Requirements

A Bachelor's or Master's degree in Computer Science, Electrical Engineering, Financial Engineering, Mathematics, Physics, or a related technical discipline.
At least 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.
A proactive approach, strong ownership, and ability to work effectively in a fast-paced environment.

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.

Desired Qualifications

Experience with trading or trading systems.
Experience with derivatives.
Experience with distributed systems.
Experience with AWS.
Experience with Linux.

Senior Software Engineer - Risk

Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-13

Salary: INR 6,000,000–7,000,000

Workplace: on_site

Department: Weekday's Client via platform

Description

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
Linux

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

Recently Posted Jobs

Explore more opportunities at Weekday AI

See more jobs