Quantitative Developer
Versor is a pioneer in applying AI and alternative data to global equity markets. As a quantitative equities boutique, we focus on systematically delivering uncorrelated alpha across single stocks, equity index futures, and corporate events. Each step of the investment process – alpha forecast models, portfolio construction, risk management, and electronic trading – relies on the ingenuity and mathematical expertise of over 50 investment professionals.
Role Summary
The Quantitative Developer position will be based in Mumbai and be part of the Portfolio Analytics team. They will collaborate closely with senior researchers to develop systems and analytics for various aspects of the quantitative research process like data processing, research, back-testing and trading.
We are seeking candidates who have excelled in engineering – specifically computer science. Prior experience in investments and finance is beneficial but not mandatory. This role is ideal for candidates who are passionate about technology and building well-designed software.
Responsibilities
- Design and develop highly automated cloud-based technology stack for investment and electronic trading algorithms
- Build next generation systems to run hundreds of simulations for model estimation and back-testing of mathematical algorithms
- Create a platform to manage large and varied datasets
- Create workflows and dashboards to visualize processes in real-time
- Provide continuous suggestions for process improvement and performance optimization
- Assess different technologies and their applications
Qualifications
- B.E., B.Tech., M.Tech., or M.Sc. in Computer Science, Computer Engineering or similar discipline from a top tier institute
- Must have exceptional coding and software design ability (Python or C#)
- Must be passionate about developing well-designed scalable software
- Good oral and written communication skills
- Demonstrated ability to work independently with complete ownership of projects
- Three to five years of relevant work experience
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