Quant Data Scientist — Research-Driven Data & Modelling

Bowden Brown; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Bowden Brown is seeking a Data Scientist to join a global, systematic investment firm’s quantitative research platform. You will work with large and novel datasets to uncover insights for investment strategies and build predictive features.

The role emphasizes strong Python and SQL proficiency and a rigorous quantitative foundation. Prior financial markets experience is beneficial but not essential; curiosity and attention to detail are valued.

Qualifications

• Strong Python and SQL skills.
• Quantitative background in Statistics, Computer Science, Mathematics, Financial Engineering or related discipline.

Responsibilities

• Explore and evaluate new data sources to support systematic investment strategies.
• Reshape and enhance datasets and create features for predictive modelling.
• Conduct preliminary analyses and share results with quantitative researchers and investment teams.
• Collaborate with Portfolio Managers and researchers to understand data requirements.

Skills

Python

SQL

Data science

Education

Quantitative background

Tools

Python

SQL

Job description

Bowden Brown is seeking a Data Scientist to join a global, systematic investment firm’s quantitative research platform. You will work with large and novel datasets to uncover insights for investment strategies and build predictive features.

The role emphasizes strong Python and SQL proficiency and a rigorous quantitative foundation. Prior financial markets experience is beneficial but not essential; curiosity and attention to detail are valued.