Quantitative Analyst MFT
Neo Wealth and Asset Management · Mumbai, Maharashtra, India
Apply & track with Apply EdgePosition: Quantitative Analyst - Medium Frequency Trading Desk (Neo Markets)Role Overview: We are seeking a highly skilled Quantitative Analyst / Researcher to design, develop, and optimize alpha-generating trading strategies for our Medium-Frequency (MFT) desk. The role requires deep expertise in statistical modelling, market microstructure, and data-driven research, with a strong focus on low-latency and high-performance trading environments. You will work closely with traders, developers, and infrastructure teams to translate research ideas into production-grade strategies.
Job Responsibilities
Research & Strategy Development
- Develop and implement systematic trading strategies across asset classes (equities, futures, options, etc.)
- Conduct alpha signal research using statistical techniques, machine learning, and time-series analysis
- Analyze market microstructure, order book dynamics, and execution signals to identify inefficiencies
- Perform hypothesis testing, back testing, and validation of trading strategies Data Analysis & Modelling
- Work with large-scale structured and unstructured datasets (tick-level, order book data)
- Build predictive models for price movement, liquidity, and volatility
- Apply advanced techniques such as Time-series modeling, Stochastic processes, Optimization methods and Machine learning (supervised/unsupervised) Back-testing & Simulation
- Design robust back testing frameworks with realistic assumptions (latency, slippage, fees)
- Evaluate performance using metrics like Sharpe ratio, Calmar Ratio, drawdown, hit rate, and PnL attribution
- Conduct parameter optimization and stress testing Collaboration & Productionization
- Work closely with low-latency developers to deploy strategies into production
- Monitor live strategies and refine models based on real-time feedback Key Skills & Experience:
- Education o Bachelor’s / Master’s / PhD in: Mathematics, Statistics, Computer Science, Physics, Engineering or related quantitative field
- Technical Skills o Strong programming skills in Python (mandatory), C++ (preferred) o Experience with NumPy, Pandas, SciPy. Data handling & large dataset processing o Familiarity with Linux/Unix systems, Version control (Git).
- Quantitative Skills o Solid understanding of Probability & statistics, Linear algebra and optimization and Time-series analysis o Knowledge of Market microstructure, Order book dynamics and Execution algorithms
- Trading Knowledge o Understanding of Equity / derivatives markets and Exchange mechanisms (NSE, BSE, global markets preferred) o 2-3 years experience with MFT strategies is highly desirable Preferred Qualifications:
- Prior 2-3 years experience in Proprietary trading firms / hedge funds / MFT firms
- Exposure to Low-latency systems and event-driven architectures
- Experience with trading strategies in production and having PnL responsibilities
- Participation in Competitive programming / Kaggle / quant competitions