Develop and support statistical and machine learning models that drive strategic business decisions and deliver measurable business value.
Develop analytical code and data processes to acquire, transform, validate, and analyze large datasets.
Translate business objectives into analytical solutions and communicate findings and recommendations to stakeholders.
Support model governance, testing, implementation, documentation, and ongoing performance monitoring.
Share technical knowledge and contribute to a collaborative analytics environment.

Bachelor's degree or higher in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, or another quantitative discipline.
1+ years of experience developing predictive models or performing advanced analytics in a business or research environment. (Analyst)
3+ years of experience developing predictive models or performing advanced analytics in a business or research environment. (Senior Analyst)
Experience applying statistical or machine learning techniques to solve analytical problems.
Proficiency in SQL and at least one analytical programming language such as Python, SAS, or R.
Strong analytical, problem-solving, and communication skills.
Preferred: Graduate degree in a quantitative discipline.
Experience developing predictive models in financial services, consumer lending, or other data-intensive industries.
Exposure to deploying and monitoring predictive or machine learning models in production environments.
Familiarity with model governance, validation, and regulatory requirements.

Excellent benefits package that includes 401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work

Mid-Level/Senior Analyst, Predictive Modeling, Machine Learning

Key skills