Quant Systems Advisory

Co-Founder

Delhi, India6 yrs 5 mos experience
Highly Stable

Key Highlights

  • Expert in building high-quality quantitative teams.
  • Focus on decision-critical systems and research quality.
  • Experience in complex problem spaces with senior teams.
Stackforce AI infers this person is a Quantitative Research Advisor specializing in high-frequency trading and systematic trading environments.

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Skills

Core Skills

Quantitative ResearchTeam Design

About

We are a research-driven quant advisory working with founders, PMs, and desk heads on building and scaling high-quality quantitative teams. Our work focuses on research quality, systems thinking, and decision-critical roles where correctness and judgment matter more than speed or volume. We typically engage with small, senior teams operating in complex problem spaces, supporting them on team design, evaluation frameworks, and long-term hiring strategy rather than transactional recruitment. Our approach is discreet, structured, and grounded in a deep understanding of how quantitative research and trading systems evolve as teams and capital scale.

Experience

6 yrs 5 mos
Total Experience
6 yrs 5 mos
Average Tenure
6 yrs 5 mos
Current Experience

Self employed

Talent Advisor – Quant, Trading & Technology (Global Markets)

Dec 2019Present · 6 yrs 5 mos · Delhi, India · Remote

  • Quant Systems Advisory
  • Research-driven quant & systems advisory
  • We work with founders, PMs, and desk heads on building and scaling high-quality quantitative teams and decision-critical systems.
  • Our focus is on:
  • research quality and evaluation rigor
  • systems thinking across research, engineering, and execution
  • team design for small, senior, high-signal environments
  • long-term hiring and capability strategy, not transactional recruitment
  • We typically engage in complex problem spaces where correctness, judgment, and discretion matter more than speed, volume, or surface-level tooling.
  • Our work is discreet, structured, and grounded in an understanding of how quantitative research and trading systems evolve as teams, capital, and responsibility scale.
Quantitative ResearchTeam Design

Education

Datta Meghe College of Engineering CIDCO Sector III Airoli Navi Mumbai 400 708

Bachelor of Engineering - BE

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