Position: Quantitative Trader - Medium Frequency Trading Desk (Neo Markets)

Role Overview:

We are seeking a highly skilled Quantitative Trader 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:

Trading Execution & Portfolio Management

Execute and manage systematic trading strategies across market conditions, with a focus on execution quality and risk-adjusted returns.
Develop optimal order execution and position-sizing strategies to minimize market impact, slippage and transaction costs.
Monitor intraday positions, exposures and trading limits, ensuring adherence to defined risk parameters.
Identify opportunities to improve execution efficiency through smart order routing, trade scheduling and liquidity analysis.

Risk Management & Performance Monitoring

Monitor live strategy performance, P&L, drawdowns and risk exposures, and take corrective action where required.
Develop risk models to assess market, liquidity and model risks across trading strategies.
Establish performance attribution frameworks to identify key drivers of profitability, transaction costs and strategy underperformance.
Conduct scenario analysis and stress testing to evaluate strategy resilience during volatile and abnormal market conditions.

Strategy Optimization & Continuous Improvement

Continuously evaluate and refine trading strategies using live market data, execution outcomes and changing market dynamics.
Identify and address model decay, overfitting and changes in market regimes to sustain strategy performance.
Research new quantitative techniques and alternative data sources to generate incremental alpha and improve signal quality.
Maintain rigorous documentation of strategy logic, assumptions, validation results and production performance.

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

o Understanding of Equity / derivatives markets and Exchange mechanisms (NSE, BSE, global markets preferred)

o 2-5 years experience in Trading role with PNL responsibility

Preferred Qualifications:

• Prior 2-5 years experience in Proprietary trading firms / hedge funds / MFT firms along with PNL responsibility

• 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