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Internship Quantitative Risk Modeler Jobs in Atlanta, GA

Truist

Quant Audit Manager

Atlanta, GA · On-site

$100K - $131K/yr

... risk associated with both financial and non-financial models and other quantitative tools implemented across Truist. The QAM will also proactively coach junior team members by providing candid and ...

PrizePicks

Lead Quantitative UX Researcher

Atlanta, GA · On-site +1

$150K - $185K/yr

... de-risk high-stakes product discovery. * Cross-Functional Collaboration: Partner directly with ... Deep general knowledge of probability and advanced statistical modeling skills (e.g., GLM, multi ...

AEG

Lead Quantitative UX Researcher

Atlanta, GA · On-site

$150K - $185K/yr

... de-risk high-stakes product discovery. * Cross-Functional Collaboration: Partner directly with ... Deep general knowledge of probability and advanced statistical modeling skills (e.g., GLM, multi ...

YouLend

Credit Risk Lead

Atlanta, GA · On-site

Strong understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding quantitative and deductive reasoning ...

US Bank

Credit Risk Python Architect

Atlanta, GA

$111K - $131K/yr

The Credit Model Ops Orchestration and Solutions team is responsible for design and deployment of ... Basic Qualifications - Bachelor's degree in a quantitative field, and eight or more years of ...

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Internship Quantitative Risk Modeler information

What is the difference between Internship Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectInternship Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften requires a degree in finance, economics, or quantitative disciplines; certifications like FRM or CFA are common
Work EnvironmentInternship setting, learning-focused, supervised by senior staffFull-time professional role, responsible for risk assessment and modeling
Employer & Industry UsageUsed in banks, asset management firms, and financial institutions for training and entry-level rolesCommon in financial services, banking, and investment firms for ongoing risk management

The Internship Quantitative Risk Modeler is an entry-level, learning-focused role typically held by students or recent graduates, whereas the Quantitative Risk Analyst is a full-time professional responsible for analyzing and managing risk using quantitative models. The internship provides foundational experience, while the analyst role involves ongoing risk assessment and decision-making.

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Internship Quantitative Risk Modeler jobs near you

Senior Risk Analyst, Business Analytics

Stellantis Financial Services US

Atlanta, GA • On-site

Full-time

Posted 19 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, 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.
  • 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!

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 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.

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