Senior Risk Analyst, Business Analytics

Stellantis Financial Services US

$95K — $115K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in data analytics, including data mining and business analytics
  • Strong SQL, Fabric, Python, R, or similar business intelligence software skills
  • Proficient in Microsoft Office Suite, especially Excel and Power BI
  • Solid understanding of statistical concepts and their practical applications
  • Detail-oriented with strong problem-solving and critical thinking skills
  • Effective communication abilities, both verbal and written
  • Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Finance, or a related quantitative field

Responsibilities

  • Analyze and process data using SQL, Python, R, and other analytical tools
  • Develop and present performance and trend analyses for strategic decision-making
  • Prepare recurring and ad-hoc reports on portfolio performance
  • Provide actionable, easy-to-understand reports to management
  • Build and validate advanced predictive models for risk assessment
  • Evaluate portfolio trends and performance indicators related to market factors
  • Collaboration with IT and business lines to manage data systems

Benefits

  • Overtime required on an as-needed basis
  • Travel requirement of 0-10% as needed
  • Position allows reasonable accommodations for disabilities
  • Work environment typically features moderate noise levels
  • Ability to work flexible hours from 8AM-6PM, including weekends if necessary
Full Job Description
Position Summary:

The Senior 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 Senior 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.
  • 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.
  • 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 Auto finance or captive industry is a plus!

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.

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