Weekday AI
QuantitativeTrader
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“Quantitative Trader at Weekday AI. Skills: quantitative trading strategies, algorithmic trading strategies, quantitative models, advanced statistical techniques, data-driven decision-making, Python, C++, Java, statistics, probability, linear algebra, time-series analysis. 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.”
What You'll Achieve.
improve returns
Industry & Context.
problem-solving skills with the ability to work with complex datasets and extract actionable insights.; Analytical mindset with a attention to detail.
What They're Looking For.
Must Have
2–4 years of experience in quantitative trading, algorithmic trading, or a related role., 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)., Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Engineering, or a related field.
Nice to Have
Familiarity with machine learning techniques and their application in trading is a plus., Understanding of market microstructure and execution strategies is preferred.
What You'll Do.
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.
Monitor live trading strategies
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
Ensure trading strategies comply with regulatory requirements and internal risk guidelines.
How You'll Work.
Team & Collaboration
Collaborate with developers and data scientists to optimize trading systems and execution algorithms.; communication skills for articulating complex quantitative concepts to cross-functional teams.
Communication Scope
communication skills for articulating complex quantitative concepts to cross-functional teams.
Full 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. *
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