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Senior Risk Data Analyst Jobs (NOW HIRING)

Apogee Global RMS is seeking a Risk Analyst to support cross-domain research, client engagements ... Review client data, documentation, and workflows to identify exposure points * Support advisory ...

Apogee Global RMS is seeking a Risk Analyst to support cross‑domain research, client engagements ... Review client data, documentation, and workflows to identify exposure points * Support advisory ...

Senior Risk Analyst

Manhattan, NY · On-site

$100K - $125K/yr

The Senior Risk Analyst will report directly to the Director of Risk Management. This individual ... report data risks. - Support the formulation of stress test plans for a line of business or the ...

The Senior Risk Analyst will report directly to the Director of Risk Management. This individual ... report data risks. - Support the formulation of stress test plans for a line of business or the ...

The Risk Customer team is responsible for leveraging data, credit thinking, and analytics to ... As a Senior Credit Risk Analyst, you will be directly responsible for supporting and overseeing the ...

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Senior Risk Data Analyst information

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$53.5K

$109.8K

$142.5K

How much do senior risk data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for senior risk data analyst in the United States is $109,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a senior risk data analyst do?

A Senior Risk Data Analyst is responsible for analyzing data to identify, assess, and help mitigate risks that could impact an organization. They use statistical methods and data modeling to uncover trends, evaluate the effectiveness of risk management strategies, and provide actionable insights to decision-makers. Their work often involves collaborating with other departments, preparing reports, and ensuring compliance with relevant regulations. Senior analysts also mentor junior team members and contribute to the development of risk assessment frameworks.

What are the key skills and qualifications needed to thrive as a senior risk data analyst, and why are they important?

To thrive as a Senior Risk Data Analyst, you need strong analytical skills, expertise in statistical modeling, and a background in finance, mathematics, or related fields, often supported by a relevant degree. Proficiency in data analysis tools like SQL, Python, R, and familiarity with risk management systems or certifications such as FRM or CFA is typical. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately identifying, assessing, and mitigating risks to support sound decision-making within an organization.

How does a senior risk data analyst typically collaborate with other departments within an organization?

As a Senior Risk Data Analyst, you will regularly collaborate with teams such as compliance, finance, operations, and IT to gather data, validate risk models, and communicate findings. Your insights help inform decision-making across the business, so strong cross-functional communication skills are essential. You may participate in risk assessment meetings, support audits, and provide data-driven recommendations to improve risk management strategies. This collaborative environment not only enhances your analytical impact but also provides opportunities for professional growth and learning from other subject matter experts.

What is the difference between Senior Risk Data Analyst vs Risk Data Analyst?

AspectSenior Risk Data AnalystRisk Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Finance, or related field; certifications like FRM or CFABachelor's degree in related field; certifications are a plus but not mandatory
Work EnvironmentTypically in financial institutions, insurance companies, or consulting firms; involves complex data analysis and risk modelingSimilar environments, focusing on data collection, analysis, and reporting of risk metrics
Employer & Industry UsageUsed in banking, insurance, investment firms, and risk management departmentsCommon in finance, insurance, and corporate risk teams

The main difference between a Senior Risk Data Analyst and a Risk Data Analyst lies in experience level, responsibilities, and expertise. Senior Risk Data Analysts usually handle more complex risk models, mentor junior staff, and contribute to strategic decision-making, whereas Risk Data Analysts focus on data collection, analysis, and reporting. Both roles are vital in risk management but differ in scope and seniority.

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Infographic showing various Senior Risk Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $109,846 per year, or $52.8 per hour.

Senior Risk Analyst

Dallas, TX • On-site

Stellantis Financial Services US
Finance and Insurance • 501 - 1,000 employees

Other

Posted 12 days ago


Job description

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.

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