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Quant Researcher

  • We are looking for a Quantitative Researcher to design, develop, and optimize systematic trading strategies, with a strong focus on options and derivatives markets. The role involves researching market opportunities, backtesting and refining trading strategies, implementing risk management frameworks, and automating execution and analysis workflows. The ideal candidate will have strong programming skills in Python and C++, a solid understanding of financial markets and derivatives, and experience in quantitative strategy development, backtesting, and algorithmic trading infrastructure within a fast-paced trading environment.

  • Responsibilities

    Design and implement quantitative trading strategies, fine-tuning execution parameters and performance metrics.
    Develop and analyze strategy variants, incorporating diverse market conditions and optimization techniques.
    Implement risk management mechanisms such as dynamic stop-loss and exit strategies to enhance stability.
    Research, design, and develop profitable options strategies aligned with real-time market conditions.

  • Explore and test indicator-driven approaches to improve trade selection and efficiency.

  • Backtest and optimize various trading strategies (e.g., simple, discount-based, butterfly, rolling, and hedging strategies), evaluating profit potential and risk exposure.

  • Automate strategy execution and daily updates to streamline backtesting, analysis, and real-time monitoring.

    Requirements

    Strong programming skills in Python and C++ (experience with NumPy, Pandas, and other data libraries is a plus).

  • Understanding of financial markets, derivatives, and quantitative trading concepts.

  • Experience with backtesting and performance analysis of trading strategies.

  • Familiarity with algorithmic trading infrastructure and execution systems.

  • Strong analytical and problem-solving skills, with the ability to work in a fast-paced trading environment.

  • Prior experience in quantitative research, trading, or algorithmic strategy development.

  • Knowledge of options trading and derivatives pricing models.

  • Experience with real-time data analysis and automation in trading workflows.

Why should you join us?

Collaborative Culture-
Work with highly skilled peers in a supportive and intellectually stimulating environment where ideas are encouraged and teamwork drives success.

Cutting-Edge Technology-
Be part of an industry that sits at the intersection of finance and advanced technology, building high-performance trading systems and innovative infrastructure.

Competitive Compensation-
We offer industry-leading compensation that rewards performance and impact.

Benefits-
Catered breakfast & lunch, well-stocked pantry, group health insurance, and 4 weeks of annual leave in addition to market holidays.

Attention investors

  • SEBI Regn. No.: INZ000180832
  • Member: NSE Member Code: 11378
  • Member: BSE Member Code: 3013
  • Member: MCX Member Code: 56635
  • SEBI Regn. No.: INZ000102939
  • Member: NSE IFSC | Member Code: 10024
  • Member: India INX | Member Code: 5009
  • SEBI Regn. No.: INZ000037932
  • Member: NCDEX Member Code: 00031
  • Member: MCX Member Code: 16945
  • RBI Regn. No.: B-14.02755

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  • For any enquiries, please connect with us:
  • Email : contactus@pacefin.in
  • Phone : +91 - 11 - 4902 2290

This is to inform you that we do client based trading and Pro-account trading. For any Complaints please email to : info@pacefin.com Phone No: 011-49022222

It has come to our notice that some unauthorized SMSes are being circulated in the name of Pace Stock Broking Services Pvt. Ltd. inducing clients to invest in fixed returns and scrips, not recommended by us. Pace Stock Broking Services Pvt. Ltd. does not send any unsolicited SMS. Investors are cautioned against such unauthorized SMS / Email from unknown sources and requested not to rely on such SMS or emails. Clients are advised to verify the genuineness of the source before relying on such SMS. Pace Stock Broking Services Pvt. Ltd. shall not be liable whatsoever for any losses incurred for trading done based on calls from such unauthorized sources.

Risk Disclosure on Derivatives

  • 9 out of 10 individual traders in equity Futures and Options Segment, incurred net losses.
  • On an average, loss makers registered net trading loss close to ₹ 50,000
  • Over and above the net trading losses incurred, loss makers expended an additional 28% of net trading losses as transaction costs.
  • Those making net trading profits, incurred between 15% to 50% of such profits as transaction cost.

Source:

SEBI study dated January 25, 2023 on “Analysis of Profit and Loss of Individual Traders dealing in equity Futures and Options (F&O) Segment”, wherein Aggregate Level findings are based on annual Profit/Loss incurred by individual traders in equity F&O during FY 2021-22.

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