Quant Researcher - Machine Learning

Posted 25 Days Ago
Be an Early Applicant
Gurgaon, Gurugram, Haryana, IND
In-Office
Mid level
Fintech • Insurance • Professional Services • Financial Services
The Role
Design, implement, and optimize ML- and statistical-based trading models; write high-performance low-latency code; analyze high-frequency data for alpha; backtest and deploy strategies; build feature-engineering and model-evaluation tools; improve execution algorithms and infrastructure for automated model training and deployment.
Summary Generated by Built In
We are seeking a highly skilled Quantitative ML Researcher to join our HFT trading team. You’ll be working at the intersection of quantitative research, machine learning, and high-performance software engineering, helping to develop, implement, and optimize trading strategies deployed in global financial markets.
This is a hybrid research-engineering role where you'll collaborate with traders, researchers, and infrastructure engineers to create cutting-edge tools and models that drive our trading decisions.


Requirements
  • Design, implement, and optimize statistical and ML-based trading models.



  • Develop high-performance, low-latency code in C++, Python, or Rust.


    Analyse large-scale, high-frequency data to identify predictive signals (alpha).


    Collaborate with research and trading teams to backtest and deploy strategies in live environments.


    Build tools for feature engineering, data normalisation, and model evaluation.


    Improve execution algorithms for minimising slippage, market impact, and latency.


    Contribute to building robust infrastructure for automated model training and deployment.

    Skills Required

    • Design, implement, and optimize statistical and ML-based trading models
    • Develop high-performance, low-latency code in C++, Python, or Rust
    • Analyse large-scale, high-frequency data to identify predictive signals
    • Collaborate with research and trading teams to backtest and deploy strategies in live environments
    • Build tools for feature engineering, data normalisation, and model evaluation
    • Improve execution algorithms to minimize slippage, market impact, and latency
    • Contribute to building robust infrastructure for automated model training and deployment
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    The Company
    75 Employees

    What We Do

    Findoc Investmart Private Limited is a leading Indian financial services group established in 2010. As a member of major exchanges like NSE, BSE, MCX, and NCDEX, it provides institutional and retail clients with comprehensive investment and trading solutions. Its offerings include equity, derivatives, commodity, and currency trading, as well as IPOs, mutual funds, and algorithmic trading services focused on capital preservation and wealth growth.

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