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 Data Scientist will be responsible for utilizing advanced analytical techniques and tools and collaborating with other team members of the Risk organization and management in various business areas to control and mitigate risks while facilitating growth.

Essential Duties And Responsibilities

Use quantitative and analytical skills to mine, process, analyze data using SAS, Python, SQL, MS Excel, and other business tools.
Build, recalibrate, and validate advanced predictive or forecasting models.
Support the development of presentations on performance, trends, and projections to upper management to facilitate business and strategic decisions.
Prepare and distribute recurring and ad-hoc analysis on residual value and remarketing performance and projections.
Collaborate on the creation of residual value and remarketing reports focusing on key performance indicators for Stellantis models.
Provide easy to understand, action-oriented analytical reports and other presentations to the management team.
Identify and evaluate trends with respect to the performance of our lease portfolio.
Support the development of recurring reports of economic indicators and assumptions.
Work with other team members to create recurring reports on industry trends for key market indicators.
Collaborate with team members and department leaders on execution of residual risk initiatives and assess performance.
Maintain confidentiality of personal information for consumers, including, but not limited to, Social Security numbers, and dates of birth.
Performs other ad-hoc duties as assigned.

Required Experience

Minimum two (2) years’ data analytics experience.
Minimum one (1) year of risk management or pricing/optimization experience.
Strong oral and written communication and interpersonal skills.
Ability to work with mathematical concepts such as probability and statistical inference, and to apply concepts to practical situations.
Experience with statistical forecast modeling, SQL, and SAS.
Experience with statistical analysis software/languages (SAS, SQL, Python, & R) in addition to training in statistical modeling, data analysis, MIS, or computer programing. Education:
Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields. Overtime required – as required on an as needed basis. Travel 0-10% – as required on an as needed basis.
Must have reliable transportation and live within a commutable distance to one of the following cities: Atlanta, GA; Dallas, TX.

Qualifications Preferred

Master’s degree in Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.

Physical Demands

Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule

Ability to work between the hours of 8AM-6PM Monday - Friday and weekends as needed.

Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.

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