Design and build products that translate anonymized behavioral signals into leading indicators for financial performance
Research and create proprietary indices that can be leveraged by financial services clients
Perform rigorous backtesting on new and existing products against historical financial outcomes
Implement anonymization and aggregation techniques to ensure products are compliant and non-identifiable
Collaborate with external researchers/clients to refine product requirements and validate desired outcomes

Requirements

Bachelor’s degree in statistics, data science, math, or a related field
Master’s degree preferred
5+ years in Data Science with a proven track record of transforming data from raw database tables into 'ready-for-sale' products
Mastery of large-scale SQL data environments (e.g. Snowflake)
Proficiency in Python with a focus on feature engineering, predictive modeling, and time-series analysis
Deep understanding of financial markets, including experience with backtesting frameworks
Experience building scalable data pipelines and deploying models within a CI/CD workflow

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

SQLPythonfeature engineeringpredictive modelingtime-series analysisbacktesting frameworksdata pipelinesCI/CD workflowdata transformationanonymization techniques

Soft Skills

collaborationresearchcommunicationproblem-solvingvalidation