Quant Research Engineer

Company Description & Culture Code

Role Description

We are recruiting a versatile Quant Research Engineer to work on our investment systems end-to-end (quant enough to generate alpha + engineer enough to build the system that delivers it):

• Own alpha → production end-to-end: Discover, validate, and monitor low-frequency signals (primarily Indian equities), with a tight research loop from hypothesis to live performance
• Ship like a startup engineer: Build and maintain production-grade quant systems—data pipelines, backtesting/live experimentation, portfolio construction/optimizers, monitoring, and tooling—moving fast without breaking reliability
• Turn research into scalable systems: Productionize models with realistic costs/risks, capacity constraints, experiment tracking, and performance attribution; continuously improve alpha and robustness over time
• Operate with high ownership + AI-native speed: Own infra/DevOps practices for auditability, security, and reliability, and leverage AI tools to accelerate iteration and product velocity

Preferred Background

• Experience: 5+ years in low-frequency quant research and/or quant engineering
• Education: Strong academic background from premier institutions
• Prior Roles: Quant investing funds or fast-paced startups
• Mindset: User empathy, relentless iterations, AI-native productivity, end-to-end ownership, and bias toward shipping
• Or something untraditional that trumps all of the above

Compensation Highlights

• Top-of-market cash compensation (₹50L - ₹1Cr PA)
• Health insurance

Contact

Share your resume and any relevant work (code, links, descriptions) directly with us at