Purpose Financial, Inc. is looking to manage the team that builds and creates stochastic and deterministic models for use across the company, profitability, performance analysis, developing test/control strategies, and training subordinates on data science models and processes.
Requirements
- Prior work experience with R, Python, SQL, or another analytical tool.
- Strong analytical skills and experience with data analytics tools such as SQL, Python, or R
- Direct experience in data quality, ELT, and feature engineering for fraud mitigation or identification
- Knowledge of credit risk & mathematical modeling techniques in the consumer lending space, including use of modeling with machine learning techniques, artificial intelligence, or similar processes
- Strong leadership skills with the ability to manage a team effectively.
- Ability to work independently and manage multiple projects simultaneously.
- Advanced understanding of statistical principles (p-value, etc.).
Responsibilities
- Mange the initiation, development, and implementation of advanced statistical and machine learning models across the customer lifecycle to include customer acquisition, onboarding (operational processes), credit underwriting, product optimization, and collections.
- Manages, mentors, and trains small team of junior modelers with model design, construction, implementation, monitoring, and delivering model results to leadership.
- Monitors and synthesizes new insights from consumer loan portfolio and optimization of profit-based risk management decisions, at all stages of the customer credit life cycle, including (but not limited to) new customer acquisition, underwriting, conversion, collections, and retention.
- Independently manages and designs experiments to enable longer term optimization of decisions, line assignment, while offering terms across our menu of financial products and customer segments.
- Works with multiple external agencies to assess and evaluate new data sources and “Ad-Hoc” analysis as assigned.
- Collaborate with Finance and Business Intelligence to build and improve monitoring of portfolio KPIs and product strategy.
Other
- Prior experience managing a team is necessary.
- Bachelor’s Degree in Quantitative Field (Engineering, Statistics, Mathematics, Economics, or another comparable quantitative field) required.
- 6 - 8 years of experience working in an analytical role in banking, finance, or retail plus 5 years of supervisory experience managing subordinates.
- Must be eligible to work in the USA and able to pass a background check.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
