Website:
neo.group
Job details:
Position: Quantitative Analyst - HFT Desk (Neo Markets)
Role Overview:
We are seeking a highly skilled Quantitative Analyst / Researcher(1-6 years experience) to design, develop, and optimize alpha-generating trading strategies for our High-Frequency (HFT) 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
- Bachelor’s / Master’s / PhD in:
- Mathematics, Statistics, Computer Science, Physics, Engineering or related quantitative field
Technical Skills
- Strong programming skills in Python (mandatory), C++ (preferred)
- Experience with NumPy, Pandas, SciPy. Data handling & large dataset processing
- Familiarity with Linux/Unix systems, Version control (Git).
Quantitative Skills
- Solid understanding of Probability & statistics, Linear algebra and optimization and Time-series analysis
- Knowledge of Market microstructure, Order book dynamics and Execution algorithms
Trading Knowledge
- Understanding of Equity / derivatives markets and Exchange mechanisms (NSE, BSE, global markets preferred)
- Experience with HFT/MFT strategies is highly desirable
Preferred Qualifications:
- 1-6 years prior experience in Proprietary trading firms / hedge funds / HFT 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
About Neo Group:
Neo Wealth and Asset Management is a rapidly growing financial services company with businesses spanning wealth management, asset management, capital markets and lending. Founded in 2021 with a simple and enduring purpose, Do Good, Neo is building a modern financial institution from India, with global aspirations.
Today, Neo manages and advises on over ₹1.3 lakh crore in client assets, serves clients across more than 200 locations, and is powered by a team of over 850 professionals. Its expanding presence includes India and the United States, with Dubai planned as the next step in its international growth.
Neo is backed by leading global and Indian institutional investors, including Peak XV Partners, MUFG Bank, Euclidean Capital, and TVS Capital Funds, and has raised more than ₹3,000 crore in capital, making it a unicorn. Its growth has been driven by deep investment expertise, strong client relationships, and a culture that values ownership, integrity and long-term thinking.
At Neo, people have the opportunity to help build an institution, not merely work within one.
Click on Apply to know more.
