Job Description

This role is for one of the Weekday's clients

Salary range: Rs 3000000 - Rs 10000000 (ie INR 30 - 100 LPA)

Min Experience: 2 years

Location: NCR

JobType: full-time

We are seeking a highly analytical and driven Quantitative Trader to join our trading team. This role is ideal for professionals with 2–4 years of experience who are passionate about financial markets, data-driven decision-making, and algorithmic trading strategies. As a Quant Trader, you will be responsible for researching, developing, and executing systematic trading strategies across asset classes, leveraging quantitative models and advanced statistical techniques.

Requirements

Key Responsibilities

• Design, develop, and implement quantitative trading strategies using statistical models and algorithmic techniques.
• Conduct in-depth research on market trends, pricing inefficiencies, and trading signals using large datasets.
• Analyze high-frequency and historical market data to identify profitable opportunities.
• Collaborate with developers and data scientists to optimize trading systems and execution algorithms.
• Monitor live trading strategies, evaluate performance, and make data-driven adjustments to improve returns.
• Manage risk by implementing robust risk controls, position sizing models, and portfolio optimization techniques.
• Continuously refine models by incorporating new data sources, machine learning techniques, and market insights.
• Ensure trading strategies comply with regulatory requirements and internal risk guidelines.

Required Skills & Qualifications

• 2–4 years of experience in quantitative trading, algorithmic trading, or a related role.
• Strong understanding of financial markets, including equities, derivatives, FX, or commodities.
• Proficiency in programming languages such as Python, C++, or Java for strategy development and backtesting.
• Solid knowledge of quantitative methods including statistics, probability, linear algebra, and time-series analysis.
• Experience with data analysis tools and libraries (e.g., Pandas, NumPy, SciPy).
• Familiarity with machine learning techniques and their application in trading is a plus.
• Strong problem-solving skills with the ability to work with complex datasets and extract actionable insights.
• Understanding of market microstructure and execution strategies is preferred.

Behavioral Competencies

• Analytical mindset with a strong attention to detail.
• Ability to work in a fast-paced, high-pressure trading environment.
• Strong communication skills for articulating complex quantitative concepts to cross-functional teams.
• Self-motivated with a continuous learning attitude toward evolving market dynamics and technologies.
• High level of integrity and discipline in decision-making.

Education

• Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Engineering, or a related field.