Sr Software Engineer - Risk

Weekday AI (YC W21); Bengaluru; Presencial; INR 6.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

Weekday AI (YC W21) is hiring a Senior Software Engineer - Risk in Bengaluru to design and build scalable risk management solutions for institutional clients and internal teams. You will work with risk professionals and engineers to evolve the risk infra and improve trading risk technology.

The role requires strong Python, software engineering, and Linux/AWS experience, with 4+ years in quantitative risk or related fields. The environment is fast-paced and performance-driven.

Formación

• Bachelor's or Master's degree in a technical discipline as listed.
• 4+ years in quantitative risk, risk technology, or related role.
• Strong software engineering fundamentals: OO, design, distributed systems.

Responsabilidades

• Architect and develop scalable risk management solutions.
• Build and enhance proprietary risk tools, data platforms, and processes.
• Design, develop, and balance speed, accuracy, and scalability.

Conocimientos

Quantitative Risk

Risk Management

Python

Software Engineering

Educación

Bachelor's or Master's degree in CS, EE, Fin Eng, Math, Physics, or related

Herramientas

AWS

Linux

Descripción del empleo

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