Quantitative Trader

Job Title:

Quantitative Trader (Forex)

Location:

Indore, MP, India (Onsite only - Work from office)

Experience Level:

3–5 years

Employment Type:

Full-time

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.