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Internship Quantitative Risk Modeler Jobs in Alpharetta, GA

Bank of America

Sr. Quantitative Finance Analyst

Atlanta, GA · On-site

$82K - $102K/yr

Maintains and provides oversight of model development and model risk management in respective focus ... GRA is a quantitative organization which delivers models, tools, and analysis needed to effectively ...

Yamaha Motor Corporation

Risk Analyst II

Kennesaw, GA · On-site

Perform quantitative analysis and statistical modeling to evaluate credit, collateral, and customer performance. * Support the design, implementation, and ongoing optimization of credit risk ...

Yamaha

Risk Analyst II

Kennesaw, GA

Perform quantitative analysis and statistical modeling to evaluate credit, collateral, and customer performance. * Support the design, implementation, and ongoing optimization of credit risk ...

Rokstone Group

Risk Analyst

Alpharetta, GA · On-site

$80 - $100/hr

Build and maintain analytical models and reporting tools. * Generate accurate indication, proposal ... Strong quantitative and problem‑solving skills. * Experience with Microsoft Office suite. Skills ...

Invesco

Portfolio Analyst

Atlanta, GA · Hybrid

The Analyst will develop expertise in fixed income attribution methodologies, risk models, and ... Support ad hoc quantitative analysis and investment-related requests using analytical and ...

Invesco

Portfolio Analyst

Atlanta, GA · On-site

The Analyst will develop expertise in fixed income attribution methodologies, risk models, and ... Support ad hoc quantitative analysis and investment-related requests using analytical and ...

Credigy

Data & Model Operations Engineer

Norcross, GA

$107K - $128K/yr

A Bachelor's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering - or equivalent experience. Preferred: * Experience with credit risk models ...

Credigy

Data & Model Operations Engineer

Norcross, GA · On-site

$107K - $128K/yr

A Bachelor's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering - or equivalent experience. Preferred: * Experience with credit risk models ...

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All JobsQuantitative Risk Modeler JobsInternship Quantitative Risk Modeler JobsInternship Quantitative Risk Modeler Jobs in Alpharetta, GA

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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Infographic showing various Internship Quantitative Risk Modeler job openings in Alpharetta, GA as of July 2026, with employment types broken down into 2% Internship, 74% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Data Scientist / Senior Data Scientist (Risk Modeling)

Berkshire Hathaway Specialty Insurance

Atlanta, GA • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Key responsibilities

  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets

  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk

  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions

Job description

Who are we?

 

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. 


We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?


Learn more about our unique culture and history.


Job Opportunity: 


Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. 


The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.


Duties & Responsibilities:


  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
  • Work with domain experts across teams and perils to enhance our use of available data.
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.


Qualifications, Skills and Experience:


Educational Background

  • Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline.
  • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics.


Technical & Analytical Skills

  • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions).
  • Strong applied statistics skills for:
    • Risk modeling
    • Predictive analytics
    • Pricing & underwriting analytics
    • Catastrophe exposure analysis
  • Proficiency in statistical and machine learning techniques, including:
    • Regression (GLM, GAM, GAMMs)
    • Time-series forecasting
    • Gradient boosting, random forests, and other tree-based models, neural networks models 
    • Clustering and segmentation
    • Bayesian methods
  • Hands-on experience with key programming tools:
    • Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus)
    • R (actuarial/statistical packages)
    • SQL for data extraction and manipulation
    • Familiarity with Git and Docker is a plus
  • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus.


Preferred Domain Knowledge in Risk Modeling

  • Strong understanding of property & casualty insurance, including:
    • Exposure modeling
    • Loss distributions (e.g., Pareto, lognormal, gamma)
    • Catastrophe risk concepts and tail modeling
    • Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR)


Data Skills

  • Ability to work with large structured and unstructured datasets.
  • Expertise in data cleaning, transformation, and feature engineering.
  • Experience building automated data pipelines and scalable model workflows.


Modeling & Communication

  • Ability to translate complex statistical concepts into actionable business insights.
  • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders.
  • Strong documentation and model governance discipline.


Professional Competencies

  • Curious, analytical thinker with strong problem-solving ability.
  • Ability to work independently in ambiguous problem spaces.
  • Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers.


BHSI Offers:


  • A competitive package and exciting growth opportunities for career-oriented teammates.
  • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
  • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  • Benefits that support your life and well-being, which include:
    • Comprehensive Health, Dental and Vision benefits
    • Disability Insurance (both short-term and long-term)
    • Life Insurance (for you and your family)
    • Accidental Death & Dismemberment Insurance (for you and your family)
    • Flexible Spending Accounts
    • Health Reimbursement Account
    • Employee Assistance Program
    • Retirement Savings 401(k) Plan with Company Match
    • Generous holiday and Paid Time Off
    • Tuition Reimbursement
    • Paid Parental Leave


The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.


NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.