Senior Risk Analyst, Business Analytics

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.

Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.

Position Summary:

The Sr. Risk Analyst, Business Analytics, will be responsible for utilizing advanced analytical techniques and tools to provide data and reporting to various departments to facilitate identification, documentation, analysis, monitoring, mitigation and tracking of risks for Stellantis Financial Services as an organization. The Sr. Risk Analyst, Business Analytics, will also collaborate with other branches of the Risk department, as well as with management from other departments in various business capacities.

Essential Duties and Responsibilities:

• Uses quantitative and analytical skills to mine, process and analyze data using SQL, Fabric, R, Python, SAS, Power BI, MS Excel or similar spreadsheet programs, and other business tools.
• Develops and presents analysis on performance, trends, and projections to upper management to facilitate business and strategic decisions.
• Prepares and distributes recurring and ad-hoc analysis and reporting on portfolios including performance and projections.
• Provides easy-to-understand, action-oriented analytical reports and other presentations to the management team.
• Build, recalibrate, and validate advanced predictive models.
• Identifies and evaluates portfolio trends and KPIs with respect to market valuations, depreciation, residuals, and other factors.
• Trouble-shoots data deficiencies and errors to ensure timely and accurate analysis of the data.
• Confers with IT and functional business lines to evaluate, design, implement, and maintain relational databases and/or large data sets.
• This position involves regular access to sensitive consumers personal information, including, but not limited to, Social Security numbers and dates of birth.
• Other duties as assigned.

Required Experience:

• Five (5) years of experience in data analytics, such as data mining, business analytics and databases.
• Proficient with SQL, Fabric, Python, R or other business intelligence software.
• Proficient with using Microsoft Office Suite applications such as Excel, PowerPoint, Word, and Power BI.
• Ability to work with mathematical concepts such as probability and statistical inference and apply concepts to practical situations.
• Experience with statistical analysis software/languages (R, Python, SQL, & SAS) in addition to training in statistical modeling, data analysis, or computer programing.