Quantitative Researcher (AI/ML) - Remote

Aquis Search โ€ข India
Remote
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AI Summary

Quantitative Researcher role in AI/ML for a tech-driven investment firm. Develop predictive models, work with engineering and research teams, and track live performance. 3+ years of experience in quantitative research required.

Key Highlights
Build and improve predictive AI/ML models
Work with engineering and research teams
Track live performance
Key Responsibilities
Build and improve predictive AI/ML models
Develop and test new ideas
Work closely with engineering and research teams
Technical Skills Required
Python Production-grade ML models
Benefits & Perks
Fully remote
High ownership and real impact on live strategies
Nice to Have
Financial math
Fixed income
Credit products

Job Description


Hiring | Quantitative Researcher (AI / ML) โ€“ Remote (India)


A tech-driven investment firm is building out its quantitative research team in India. The team works closely with experienced traders and researchers from top HFT and systematic backgrounds, focusing on real, production-driven AI/ML models used in live investment strategies.

This is not a paper-only research role. You will work end-to-end โ€” from model development to performance tracking โ€” with direct visibility and ownership.


Day to day role:


  • Building and improving predictive AI/ML models used in investment strategies
  • Developing and testing new ideas, tracking live performance
  • Working closely with engineering, research, and senior decision-makers
  • Writing clean, production-quality Python used beyond research notebooks


To apply you should have:


  • 3+ years of quantitative research experience (financial services preferred)
  • Strong Python and experience with production-grade ML models
  • Hands-on exposure to predictive modeling, tuning, and performance analysis
  • Comfortable working independently in a fast-moving environment
  • Bonus if youโ€™ve worked with financial math, fixed income, or credit products



Fully remote, high ownership, and real impact on live strategies.


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