Quantitative Trader

Neo Wealth and Asset Management; Mumbai; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Neo Wealth and Asset Management in Mumbai seeks a Quantitative Trader for its Medium-Frequency Trading Desk. You will design, develop, and optimize alpha-generating strategies with emphasis on low-latency execution and data-driven research.

The role requires strong Python programming (mandatory), knowledge of statistics, and familiarity with market microstructure. 2–5 years of trading experience with PnL responsibility is expected.

Qualifications

• Degree in Mathematics, Statistics, CS, Physics, Engineering or related quantitative field.
• Strong programming skills in Python (mandatory) and C++ (preferred).
• Experience with NumPy, Pandas, SciPy and large dataset processing.
• Familiarity with Linux/Unix and version control using Git.
• Solid understanding of probability, statistics, linear algebra and time-series analysis.
• Knowledge of market microstructure, order book dynamics and execution algorithms.
• Understanding of equity/derivatives markets and exchange mechanisms (NSE, BSE, global markets preferred).
• 2-5 years experience in a trading role with P&L responsibility.

Responsibilities

• Execute and manage systematic trading strategies across market conditions with focus on execution quality and risk-adjusted returns.
• Develop optimal order execution and position-sizing strategies to minimize market impact and costs.
• Monitor intraday positions, exposures and trading limits per risk parameters.
• Identify opportunities to improve execution efficiency through smart order routing and liquidity analysis.
• Maintain risk models and performance attribution frameworks for profitability and costs.
• Conduct scenario analysis and stress testing to assess resilience in volatile markets.
• Refine strategies using live data and evolving market dynamics.

Skills

Python

C++

NumPy

Pandas

SciPy

Linux/Unix

Git

Time-series analysis

Market microstructure

Execution algorithms

Education

Bachelor’s / Master’s / PhD in quantitative field

Tools

Python

C++

NumPy

Pandas

SciPy

Git

Job description

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

• 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.
• 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

• o Bachelor’s / Master’s / PhD in:
• Mathematics, Statistics, Computer Science, Physics, Engineering or related quantitative field
• 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).
• 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
• 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