Senior Software Engineer - Risk

Weekday AI

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Work arrangement
On-site
Occupation
Software & IT
Location
Bengaluru, KA, IN
Compensation
Not disclosed
Apply by
April 14, 2027

About this role

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 skilledSenior Software Engineer – Riskto 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-performancerisk 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 inComputer Science, Electrical Engineering, Financial Engineering, Mathematics, Physics, or a related technical discipline.
  • 4+ years of professional experiencein quantitative risk, risk technology, or a closely related role.
  • Strong experience working withrisk 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, includingobject-oriented programming, system design, and distributed architectures.
  • Strong hands-on programming experience withPython.
  • Experience working withLinux and AWSenvironments.
  • 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
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