Software Engineer, Risk Technology

Point72; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Dormont Manufacturing Co is looking for a Software Engineer in Risk Technology to join their team in Bengaluru, India. This role involves building scalable reporting frameworks and developing quantitative analytics in a dynamic environment.

The ideal candidate will possess a deep understanding of Python and financial modeling, as well as strong problem-solving and communication skills. You will play a key role in innovating solutions that enhance business capabilities.

Qualifications

• Minimum of 5 years' programming experience in Python or functional languages.
• Hands-on experience in financial instrument modeling, particularly in equity.
• Familiarity with equity factor models like MSCI, Bloomberg, or Axioma.

Responsibilities

• Build a scalable reporting framework for risk calculations.
• Develop quantitative risk and performance analytics.
• Innovate to deliver high-quality solutions for business partners.
• Apply unique solutions to complex problems.

Skills

Programming experience in Python

Experience with financial instrument modeling

Problem-solving skills

Core computer science algorithms understanding

Excellent communication skills

Education

Training in computer science, math, physics, or a related technical field

Job description

JOB TITLE

Software Engineer, Risk Technology

A Career with point72's Technology Team

As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all the firm’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time‑to‑market for our business. We also deliver end‑user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast‑paced, dynamic, and collaborative working environment.

What you’ll do

• Build a scalable reporting framework capable of processing terabytes of data for complex risk calculations
• Develop quantitative risk and performance analytics to proactively anticipate and address team requirement
• Innovate and improve our capabilities to deliver high quality to our business partners
• Apply creative and unique solutions to solve complex problems

What’s REQUIRED

• Minimum of 5 years’ programming experience in Python and/or one of functional languages
• A demonstrated track record and hands‑on experience in financial instrument modeling, particularly within the equity space, are highly valued. Familiarity with equity factor models—such as MSCI, Bloomberg, or Axioma—is considered a strong advantage.
• Training in computer science, math, physics or related technical field
• Programming experience in a quantitative environment with statistic models or complex aggregations
• Awesome team player with excellent written and verbal communication skills with peers and clients
• Problem solving skills with deep understanding of core computer science algorithms and data structures
• Commitment to the highest ethical standards

About point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor‑led culture and committing to our people’s long‑term growth. For more information, visit https://point72.com/.