Senior Risk Analyst, Commercial Lending Analytics

Posted Yesterday
Be an Early Applicant
Dallas, TX, USA
In-Office
Senior level
Automotive • Financial Services
The Role
Support development, calibration, and monitoring of commercial lending credit criteria and dealer risk-rating frameworks. Analyze portfolio performance and KPIs, build scorecards and early-warning triggers, produce recurring and ad-hoc reports, troubleshoot data issues, and collaborate with Commercial Lending, Credit Policy, IT, and audit teams.
Summary Generated by Built In

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 Senior Risk Analyst, Commercial Lending Analytics, will support the development, calibration, and ongoing performance monitoring of commercial lending (dealer floorplan) credit criteria for Stellantis Financial Services. This role partners closely with Commercial Lending, Credit Policy, and Model Risk to build and maintain dealer risk-rating frameworks, portfolio surveillance reporting, and early-warning indicators across the floorplan and commercial credit portfolio, while operating independently within the Risk department to ensure appropriate separation between criteria-setting/monitoring and origination decisioning.

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.
  • Builds, recalibrates, and validates dealer risk-rating models and commercial credit scorecards; supports development of early-warning triggers for portfolio deterioration.
  • Identifies and evaluates portfolio trends and KPIs relevant to commercial/dealer credit, including inventory turn, aging, curtailment compliance, out-of-trust incidence, and dealer financial covenant performance, alongside market valuations, depreciation, and residuals.
  • 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.
  • Collaborates with Commercial Lending and Credit Policy on the design and ongoing calibration of dealer floorplan lending criteria, covenant thresholds, and audit/monitoring cadence.
  • Partners with dealer audit/inventory-verification functions to incorporate out-of-trust and inventory aging data into portfolio risk reporting.
  • This position involves regular access to sensitive business and consumer information, including, but not limited to, dealer financial statements, dealer principal/guarantor personal financial information, Social Security numbers, and dates of birth.
  • Other duties as assigned.

Required Experience:

  • Five (5) years of experience in data analytics, credit risk analytics, or commercial credit analysis, including exposure to portfolio monitoring, financial statement analysis, or credit scoring/rating frameworks.
  • Familiarity with financial statement analysis (balance sheet, cash flow, leverage) is strongly preferred, given the commercial/dealer-credit focus of this role.
  • 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.
  • Detail oriented with problem solving and critical thinking abilities.
  • Ability to apply common sense understanding to practical situations when carrying out instructions furnished in written, oral, or diagram form.
  • Effective verbal and written communication and interpersonal skills.

Education:

  • Bachelor’s Degree in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.

Overtime required – 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 and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields highly preferred!
  • Prior experience in commercial/dealer floorplan finance, asset-based lending, or captive auto finance is a plus. Familiarity with inventory-secured lending concepts (curtailment, dealer risk rating, out-of-trust monitoring) is highly desirable.

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 through 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.

An applicant must be authorized to work in the United States to be eligible for this position. Stellantis Financial Services, Inc. will not sponsor applicants for work visas of any type for this position.

Skills Required

  • Five (5) years of experience in data analytics, credit risk analytics, or commercial credit analysis, including exposure to portfolio monitoring, financial statement analysis, or credit scoring/rating frameworks.
  • Familiarity with financial statement analysis (balance sheet, cash flow, leverage).
  • Proficient with SQL, Fabric, Python, R or other business intelligence software.
  • Proficient with 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) and training in statistical modeling, data analysis, or computer programming.
  • Detail oriented with problem solving and critical thinking abilities.
  • Effective verbal and written communication and interpersonal skills.
  • Bachelor's Degree in Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.
  • Must have reliable transportation and live within a commutable distance to Atlanta, GA or Dallas, TX.
  • Candidates must possess authorization to work in the United States.
  • Master's Degree and/or PhD in quantitative field (preferred).
  • Prior experience in commercial/dealer floorplan finance, asset-based lending, or captive auto finance (preferred).
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Year Founded: 1988

What We Do

Stellantis Financial Services, Inc. d/b/a First Investors Financial Services is an automobile finance company founded in 1988. It serves the special finance needs of automobile dealers and consumers through a multi-channel business model encompassing indirect and direct lending, portfolio acquisitions, and third-party servicing, providing comprehensive auto financing and loan servicing expertise across prime to deep subprime credit segments.

Similar Jobs

Riot Platforms, Inc. Logo Riot Platforms, Inc.

Accounts Payable Specialist (E4A Solutions – A Subsidiary of Riot Platforms)

Artificial Intelligence • Cloud • Information Technology • Energy • Infrastructure as a Service (IaaS)
In-Office
Houston, TX, USA
800 Employees

Arm Logo Arm

Theorem Proving Engineer

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
Austin, TX, USA
8314 Employees
198K-268K Annually

Arm Logo Arm

Cloud Engineer

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
Austin, TX, USA
8314 Employees
162K-219K Annually

Arm Logo Arm

Design Engineer

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
2 Locations
8314 Employees
162K-219K Annually

Similar Companies Hiring

Granted Thumbnail
Mobile • Insurance • Healthtech • Financial Services • Artificial Intelligence
New York, New York
23 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account