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Internship Quantitative Risk Modeler Jobs in Michigan

Trinseo LLC

Global Process Safety Engineer

Midland, MI · On-site

$100 - $125/hr

Effluent modeling (PHAST) * Quantitative risk analysis (QRA) * Facility siting (Baker Risk Studies) * Root cause investigation (RCI) * Hazard and Operability Studies (HAZOP) * Excellent written and ...

UNAVAILABLE

Global Process Safety Engineer

Midland, MI · On-site

$125 - $150/hr

Effluent modeling (PHAST) * Quantitative risk analysis (QRA) * Facility siting (Baker Risk Studies) * Root cause investigation (RCI) * Hazard and Operability Studies (HAZOP) * Excellent written and ...

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All JobsQuantitative Risk Modeler JobsInternship Quantitative Risk Modeler JobsInternship Quantitative Risk Modeler Jobs in Michigan

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

Predictive Modeler Intern - Summer 2027

Auto Owners Insurance Company

Lansing, MI • On-site

Part-time

Posted 17 days ago

Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

23rd of 315 rated insurance

Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.

Job Description

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated individual to join our Actuarial Division as a Predictive Modeler Intern. The position requires the person to:

  • Create data files to be used in modeling software
  • Build and evaluate predictive models using modeling software
  • Present predictive model proposals for peer review and business approval
  • Create specifications for and coordinate implementation of predictive models
  • Occasionally perform ad-hoc reporting to answer specific inquiries from upper management

This internship has full-time hours (Monday through Friday) and is in-person in Lansing, Michigan. Interns choose their start and end dates. Most join in mid-May and stay until mid-August.

Desired Skills & Experience

  • Student must be working toward a bachelor's in mathematics, statistics, computer science, data mining, machine learning, physics, operations research, or a related quantitative discipline, having at least two years of coursework completed. Master's students are also considered if graduation is August 2027 or later.
  • An understanding of statistical and predictive modeling concepts, especially clusteringand classification techniques
  • High aptitude for programming languages
  • A desire to learn new things
  • Ability to adapt to constant change and innovation
  • Knowledge of SQL, Python, or R is a plus

Equal Employment Opportunity

Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.

*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

#LI-DNI #IN-DNI

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