Design and build products that translate anonymized behavioral signals into leading indicators for financial performance.
Research and create proprietary indices for financial services clients.
Perform rigorous backtesting on new and existing products against historical financial outcomes.
Implement anonymization techniques to ensure compliance.
Collaborate with external researchers/clients to refine product requirements.

Requirements

Bachelor’s degree in statistics, data science, math, or a related field
Master’s degree preferred
5+ years in Data Science
Mastery of large-scale SQL data environments (e.g. Snowflake)
Proficiency in Python
Deep understanding of financial markets
Experience building scalable data pipelines

Benefits

health insurance (medical, dental, vision)
a retirement savings plan
paid time off
other employee benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata pipelinesbacktestinganonymization techniquesdata sciencestatistical analysisfinancial performance analysisproprietary indiceslarge-scale data environments

Soft Skills

collaborationcommunicationresearchproblem-solvinganalytical thinking