# Co-Head of Quantitative Research

**Company:** [Trexquant](https://hotfix.jobs/companies/trexquant)
**Location:** Gurugram, India
**Role:** Data Science
**Experience:** 8+ years
**Skills:** Quantitative Research, Systematic Trading, Equity Research, Derivatives Research, Alpha Generation, Statistical Modeling, Signal Construction, Python, Research Infrastructure, Risk Controls, Overfitting Mitigation, Out-Of-Sample Testing
**Posted:** 2026-03-09

> Leads a quantitative research function while directly developing and deploying systematic equity and derivatives signals that contribute to live trading P&L. Requires 5+ years of alpha research experience, a STEM degree, strong programming and research-infrastructure fluency, and a proven profitable track record.

## Job Description

## Responsibilities
- Co-lead the India research function, enforce high research standards and reproducibility, and conduct structured research reviews.
- Produce differentiated, robust, and scalable equity and derivatives alpha while contributing directly to live trading P&L.
- Elevate research quality across the office and help scale the team without diluting standards.
- Independently originate, validate, and deploy profitable signals while directly generating alpha.
- Improve and refine existing research, driving innovation in modeling, data usage, and signal construction with strict statistical discipline and out-of-sample rigor.
- Shape thematic priorities and research roadmaps to guide the direction of the platform.
- Mentor and scale the team by coaching researchers, developing high-potential talent, maintaining a strong hiring bar, and ensuring growth does not compromise alpha quality.

## Requirements
- BS, MS, or PhD degree in a STEM field.
- 5+ years of experience in systematic equity and derivatives alpha research.
- Proven record of generating statistically robust and profitable signals.
- Direct contribution to live P&L.
- Demonstrated track record of generating at least $20Mn in attributable P&L through developed strategies.
- Deep understanding of signal decay, capacity, risk controls, and overfitting mitigation.
- Strong programming and research infrastructure fluency.

## Compensation and Benefits
- Competitive compensation with a bonus tied to the performance of algorithms you develop.
- Collaborative and friendly work environment with participation in research-direction decisions and opportunities to lead new ideas.
- Comprehensive benefits, including healthcare and insurance.

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