Your responsibilities will include:
- Implementing models for net loss provision calculations and analysis leveraging cutting edge technology while ensuring accuracy, completeness and timeliness of the data and results for reserves
- Performing ad hoc analytics on credit performance to better understand key trends and drivers on the US portfolios
- Building, deploying, and maintaining insightful dashboards and other analytics tools for use by various stakeholders in finance and risk
- Leveraging external and internal data to improve existing approached and models
- Partnering with various cross-functional teams including Risk, Controllership and Technology
- Creating and maintaining detailed model documentation for the net loss provision processes
Qualifications
- BS/MS in quantitative discipline like Economics, Statistics, Mathematics, Finance or Computer Science
- Hands-on experience working on financial analytics using large amounts of data
- Advanced modeling, SQL & Python skills required
- Excel, TM1, Tableau, Power BI or other visualization tools experience preferred
- Previous risk management experience and/or 1-3 years of work experience preferred.
Skills to be successful in the role:
- Highly motivated individual with ability to break down, go deeper and execute on complex ideas
- Experience in working across geographies and matrix organization
- Excellent communication skills to deliver results and drive engagement with Senior Leaders and key stakeholders
- Ability to influence people across all levels of the organization
- Ability to work under compressed timelines, multiple priorities with focus on operational excellence
- Be data-driven, outcome-focused and fast learner
- Strong analytical, organizational, and problem-solving skills with good attention to detail