Weekday AI
SeniorQuantitativeTrader
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“Senior Quantitative Trader at Weekday AI. Skills: quantitative trading strategies, alpha generation, risk management, statistical modeling, machine learning. Design, backtest, and implement quantitative trading strategies. Generate alpha by leveraging statistical and machine learning models”
What You'll Achieve.
Consistently generate alpha; minimize slippage; continuously optimize their performance
Industry & Context.
statistical modeling; machine learning models; data analysis; research
What They're Looking For.
Must Have
5–8 years of experience in proprietary trading, hedge funds, or quantitative trading environments, Proficient programming skills in Python, C++, or comparable languages, knowledge of probability, statistics, time-series analysis, and financial mathematics, Experience with backtesting tools and trading platforms, In-depth understanding of derivatives, market microstructure, and execution tactics, Proven history of developing profitable trading strategies
Nice to Have
Background in high-frequency or mid-frequency trading, Familiarity with machine learning methodologies, Expertise in portfolio construction and capital allocation, Capability to excel in a fast-moving, results-oriented environment
What You'll Do.
and implement quantitative trading strategies
Generate alpha by leveraging statistical and machine learning models
Perform comprehensive data analysis and research to identify market inefficiencies
Enhance execution strategies while minimizing slippage
Develop and maintain robust risk management systems
Work closely with technology and research teams to improve trading infrastructure
Oversee live trading strategies and continuously optimize their performance
How You'll Work.
Team & Collaboration
Work closely with technology and research teams
Full Job Description
**This role is for one of the Weekday's clients ** Min Experience: 5 years Location: India JobType: full-time We are seeking a Senior Quant Trader with 5 to 8 years of experience and a demonstrated track record in creating and implementing systematic trading strategies. The ideal candidate should possess strong skills in alpha generation, statistical modeling, and risk management across various asset classes, including equities, derivatives, crypto, or global macro markets. **Requirements** **Key Responsibilities** Design, backtest, and implement quantitative trading strategies. Consistently generate alpha by leveraging statistical and machine learning models. Perform comprehensive data analysis and research to identify market inefficiencies. Enhance execution strategies while minimizing slippage. Develop and maintain robust risk management systems. Work closely with technology and research teams to improve trading infrastructure. Oversee live trading strategies and continuously optimize their performance. **Required Qualifications** 5–8 years of experience in proprietary trading, hedge funds, or quantitative trading environments. Proficient programming skills in Python, C++, or comparable languages. Strong knowledge of probability, statistics, time-series analysis, and financial mathematics. Experience with backtesting tools and trading platforms. In-depth understanding of derivatives, market microstructure, and execution tactics. Proven history of developing profitable trading strategies. **Preferred Skills** Background in high-frequency or mid-frequency trading. Familiarity with machine learning methodologies. Expertise in portfolio construction and capital allocation. Capability to excel in a fast-moving, results-oriented environment. **What We Offer** Substantial capital allocation tied to performance. Opportunity to join as an early team member. Competitive compensation linked to profit and loss. Direct interaction with company leadership. Chance to create and
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