Responsibilities
- Serve as the primary analytics contact for clients, guiding them on credit risk, strategy design, and portfolio outcomes.
- Convert business objectives into defined analytical problems, project roadmaps, and organized execution plans.
- Leverage Python and SQL for data exploration, hypothesis validation, and enhancement of data science workflows.
- Assist in building credit policies, underwriting rules, and decision models across lending stages including pricing and collections.
- Perform detailed segmentation and performance analysis to uncover actionable client opportunities.
- Evaluate model results and analytical outputs, translating them into strategic recommendations that align with client goals and limitations.
- Develop polished deliverables such as presentations, dashboards, summaries, and executive briefings.
- Communicate findings and strategies directly to client stakeholders, including risk, analytics, and business executives.
- Support sales teams with analytical demonstrations, proof-of-concept work, and inputs for client proposals.
- Collaborate with internal Data Science, Product, and Engineering teams to ensure accurate interpretation and delivery of client needs.
- Conduct post-deployment activities including performance monitoring, tracking, and iterative strategy improvements.
- Ensure all analytical processes comply with data governance, quality standards, and regulatory requirements.
Work Arrangement
Remote (Worldwide)
Other
- Flexible work environment, with options to work remotely, hybrid, or in-office.
- Generous time-off policy including vacation, sick leave, 12 paid holidays, and volunteer time off.
- Committed to being an Equal Opportunity Employer, supporting all groups protected by federal, state, and local laws, including veterans and individuals with disabilities. Accommodations available upon request.
