# 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](https://apply.workable.com/weekday-1/j/C996687CEA/apply)

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