Quant Trader, Sports Prediction Markets, NY On-site

Albert Bow Limited; New York (NY); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive base salary

Performance-based bonus

Direct exposure to founders

Ownership across research

High-quality data & tech

Lean working environment

Job summary

Albert Bow Limited in New York on-site is seeking a Quant Trader/Researcher to identify, research and deploy new trading opportunities across sports and prediction markets, with exposure to the full strategy lifecycle.

You will work directly with experienced quantitative and sports trading professionals, developing and testing trading strategies, building pricing models and handling large datasets to uncover predictive signals. Ownership from an early stage is offered.

Qualifications

• Experience in quantitative trading, research or data science.
• Strong mathematical, statistical and analytical ability.
• Proficiency in Python or another relevant programming language.
• Experience working with large and complex datasets.
• Genuine interest in sports, betting or prediction markets.
• Ability to turn research into practical trading decisions.
• Clear communication skills and a collaborative approach.

Responsibilities

• Researching new sources of edge across sports and prediction markets.
• Developing, testing and deploying quantitative trading strategies.
• Working with large datasets to uncover predictive signals.
• Building pricing models and improving existing trading systems.
• Monitoring live performance and making informed trading and risk decisions.
• Conducting post-trade analysis and identifying areas for improvement.
• Collaborating closely with traders, researchers and engineers.

Skills

Quantitative trading

Research

Data science

Math/statistics

Communication

Education

Bachelor’s degree or related experience

Tools

Python

Pandas

SQL

Job description

Albert Bow Limited in New York on-site is seeking a Quant Trader/Researcher to identify, research and deploy new trading opportunities across sports and prediction markets, with exposure to the full strategy lifecycle.

You will work directly with experienced quantitative and sports trading professionals, developing and testing trading strategies, building pricing models and handling large datasets to uncover predictive signals. Ownership from an early stage is offered.