Prediction Markets Quant Research – Summer Analyst

AQR Capital Management; Greenwich (CT); On-site; USD 32,000 - 59,000; Full time

Job summary

AQR Capital Management in Greenwich, CT invites Summer Analysts/Associates to join our Quantitative Research team. You will study financial markets, learn academic theory, analyze market data, and contribute to building or improving trading strategies and portfolio construction.

You will work alongside researchers and portfolio managers, applying your quantitative background to develop reliable prediction markets trading strategies across financial, sports, politics, culture and crypto

Qualifications

• Candidate must be a degree candidate by Dec 2027 or Spring 2028 in finance, economics or a quantitative field.
• Strong knowledge of AI and data science.
• Programming skills; Python preferred.
• Familiarity with prediction markets, options pricing, and data analysis.
• Interest in sports, politics and finance analytics.
• Excellent problem-solving and quantitative abilities.
• Able to work independently and in a team.
• Highly organized, detail-oriented and curious.
• Strong communication skills both written and verbal.

Responsibilities

• Study financial markets and academic theory.
• Analyze market data and backtest trading strategies.
• Collaborate with researchers and portfolio managers.
• Transform research into actionable trading strategies.

Skills

AI knowledge

Python

Prediction markets

Data science

Quantitative skills

Team collaboration

Communication

Organized/detail-oriented

Problem solving

Creative thinking

Education

Ph.D./Masters/Bachelors in finance/economics/quantitative field

Job description

AQR Capital Management in Greenwich, CT invites Summer Analysts/Associates to join our Quantitative Research team. You will study financial markets, learn academic theory, analyze market data, and contribute to building or improving trading strategies and portfolio construction.

You will work alongside researchers and portfolio managers, applying your quantitative background to develop reliable prediction markets trading strategies across financial, sports, politics, culture and crypto