Quantitative Researcher

2 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

🚀 We’re Hiring | Quantitative Researchers – Patronus Tradetech LLP


Patronus Tradetech LLP

If you have a proven strategy and want to scale it in a data-rich, high-energy setup, we’d love to meet you.


Location- Noida (Onsite Job)


Roles & Responsibilities

  • Run and refine

    existing quant trading strategies

    with full ownership and accountability.
  • Design, develop, and improve

    high-frequency trading models

    using real-time market data.
  • Analyze gigabytes of exchange data daily using

    Python, R, or C++

    , identifying micro-patterns and opportunities.
  • Back-test and optimize strategies for

    latency, P&L, and risk metrics

    before deploying in live trading.
  • Research, build, and enhance monetization frameworks for trading signals.
  • Generate business-critical analytics and reports.


Requirements

  • Strong quantitative and programming background (Stats, Engineering, CS, Math, or related).
  • 2+ years of experience

    in HFT, Algo, or Quant Trading. If your numbers speaks more than experience, don't worry about experience. Reach out!
  • Expertise in

    Python/R and C++

    , and strong understanding of

    machine learning, time-series, and market microstructure

    .
  • Confident with your own

    strategy performance and scalability

    .
  • Mandatory:

    Linux proficiency

    and experience in data-heavy modeling environments.
  • Analytical, detail-oriented, and comfortable with autonomy and accountability.


Perks & Culture

  • Competitive compensation & performance bonuses

    .
  • Health coverage

    and a

    fully stocked pantry

    .
  • Annual international team trip

    – because balance matters.
  • Limitless learning, ownership, and growth in a merit-based environment.


Patronus is the platform for you. Apply here or drop your resume to deepa.chaturvedi@patronustradetech.com


DM me or drop a note

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