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Quantitative Trader (Forex)

5 years

0 Lacs

indore madhya pradesh india

Posted:2 weeks ago| Platform: Linkedin logo

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Skills Required

drive strategies trading cutting ai risk management data collaborative strategy development design test volatility forecasting lstm testing optimization controls sizing compliance analyze model collaboration documentation metrics transparency communication teaching finance mathematics statistics portfolio reports python numpy statsmodels mlflow

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Location:

Experience Level:

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Role Overview

Tecnomi, an innovative IT firm, is hiring a skilled Quantitative Trader to drive profitable, systematic forex strategies. You'll collaborate with the CTO, project owner, and dev team to develop, deploy, and refine live trading models that deliver real-world results. This onsite role offers hands-on involvement in cutting-edge AI integrations, risk management, and data-driven decision-making in a fast-paced, collaborative environment focused on long-term innovation and platform growth.

Key Responsibilities

  • Strategy Development & Execution:

    Design, test, and deploy quantitative trading strategies leveraging price data, volatility, sentiment indicators, and macroeconomic factors for live forex markets.

  • Modeling & Backtesting:

    Create reliable forecasting models (e.g., time-series, LSTM/Transformer hybrids) with thorough backtesting, forward-testing, and optimization for profitability and robustness.

  • Risk Management:

    Build and integrate risk controls (e.g., Value-at-Risk, drawdown limits, position sizing) to ensure compliance and minimize losses in volatile conditions.

  • Data Integration:

    Source, clean, and analyze diverse data feeds (e.g., news APIs, order books, economic calendars) to enhance model inputs and trading signals.

  • Mentorship & Knowledge Sharing:

    Mentor non-technical team members (including the project owner) on forex basics, quantitative trading concepts, and strategy insights through regular sessions.

  • Collaboration & Documentation:

    Partner with developers to embed models into production systems; maintain detailed documentation of strategies, assumptions, and performance metrics for transparency and iteration.

Required Qualifications

  • 3–5 years of hands-on experience in quantitative trading or systematic strategy development, ideally in forex or similar markets.
  • Proven track record with backtesting tools, statistical validation, and live strategy deployment.
  • Deep knowledge of FX market dynamics, macroeconomic influences, and risk modeling.
  • Strong communication and teaching abilities to guide non-experts effectively.
  • Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field.
  • Verifiable 3-year portfolio of past strategies, backtests, performance reports, or live trading results.

Preferred Skills

  • Experience trading multiple forex pairs or cross-asset strategies.
  • Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn) for rapid prototyping.
  • Familiarity with Indian regulatory frameworks (e.g., RBI/FEMA).
  • Exposure to platforms like QuantConnect, TradingView, or MLflow for strategy automation.

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