Quantitative Researcher

What you'll do

• Create and improve predictive models to identify malicious activity and investigate suspicious behavior across user activity histories.
• Manage the research lifecycle from collecting and preparing data through feature creation and model fitting.
• Choose approaches that meet response-time needs, deploy and maintain code, and work with researchers and engineers toward defined modeling targets.

What they ask for

• Background in quantitative research at a leading proprietary trading firm or investment fund.
• Grounding in applied mathematics and statistical methods, including outlier detection, user behavior modeling, and language processing.
• Record of independently taking machine learning projects from data gathering through production release, including model deployment, data preparation, and speed requirements.
• Fluency in at least one of Python, C++ or Rust, comfort with Git, a bachelor's degree or higher in a quantitative discipline from a strong US university, and existing US work authorization.

Nice to have

• Familiarity with unconventional financial-market data sources.
• Comfort with relational databases and efficient querying; graduate degree from a well-regarded institution.

Pay

USD 210,000 to 270,000 per year (base salary)

Tools

Python, C++, Rust, Git

AI focus

Develop and refine statistical and machine learning models to detect malicious behavior, including outlier detection, user behavior modeling, and language processing; take models into live systems.