Quantitative Analyst (Forex)

Job Title: Quantitative Analyst (Forex)

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

Experience Level: 3–5 years

Employment Type: Full-time

Role Overview

Tecnomi is seeking a talented Quantitative Analyst to join our team full-time and play a key role in building, validating, and optimising systematic forex trading strategies. You will work closely with the project owner and development team to develop actionable models, implement risk frameworks, and contribute to data-driven insights. This full-time position offers the opportunity to drive innovative solutions in a collaborative environment, with a focus on long-term project impact.

Key Responsibilities

• Strategy Development: Design, test, and optimise quantitative trading strategies using price data, volatility measures, sentiment indicators, and macroeconomic variables.
• Modelling & Backtesting: Build robust forecasting models (e.g., time-series, LSTM/Transformer hybrids) and perform rigorous backtesting to ensure reliability.
• Risk Frameworks: Develop and integrate risk-control tools (e.g., Value-at-Risk, drawdown limits, exposure thresholds) while aligning with compliance best practices.
• Data Integration: Aggregate and analyse multi-source data (news feeds, order-book snapshots, economic calendars) for model inputs and enhancements.
• Mentorship: Provide ongoing guidance and knowledge-sharing sessions to educate non-technical team members, including the project owner, on forex fundamentals and quantitative concepts.
• Collaboration & Documentation: Work with development teams to integrate model outputs into systems; maintain clear, comprehensive documentation of assumptions, processes, and results.

Required Qualifications

• 3–5 years of experience in quantitative research, preferably in forex or systematic trading.
• Hands-on experience with backtesting platforms and statistical validation techniques.
• Strong understanding of FX market dynamics, macro drivers, and risk modelling.
• Excellent communication and teaching skills to mentor non-experts effectively.
• Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field.
• Verifiable 3-year portfolio showcasing prior models, backtests, or strategy reports.

Preferred Skills

• Experience across multiple forex instruments or asset classes.
• Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn).
• Familiarity with regulatory frameworks (e.g., RBI/FEMA).
• Exposure to tools like QuantConnect, MLflow, or similar platforms.