Junior Quant Strategist

About The Role

Junior Quant Strategist

Key Responsibilities

• Develop and test quantitative trading strategies using statistical and machine learning techniques
• Analyze market data to identify trading opportunities and patterns
• Implement and back-test trading models using Python and other tools
• Collaborate with senior strategists on research projects and strategy enhancements
• Monitor live strategy performance and conduct post-trade analysis
• Build and maintain data pipelines for strategy research
• Document research findings and present ideas to the team
  

Required Skills & Qualifications

• Bachelor's or Master's degree in Mathematics, Statistics, Physics, Computer Science, Engineering, or related quantitative field
• 1-2 years of experience in quantitative research, trading, or related fields
• Strong programming skills in Python for data analysis and strategy implementation
• Solid understanding of statistics, probability, and quantitative methods
• Experience with data analysis libraries (pandas, numpy, scikit-learn)
• Knowledge of financial markets and trading concepts
• Strong analytical and problem-solving abilities
• Excellent communication skills and ability to work in a team
  

Nice to Have

• Experience with machine learning techniques and frameworks
• Familiarity with time series analysis and econometrics
• Knowledge of market microstructure and high-frequency data
• Experience with backtesting frameworks and trading simulators
• Understanding of risk management principles
  

What We Offer

• Work with experienced quant researchers on real trading strategies
• Access to extensive market data and research infrastructure
• Mentorship and career growth opportunities in quantitative trading
• Collaborative, intellectually stimulating environment
  

Required Skills