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Internship Credit Risk Modeling Jobs (NOW HIRING)

Gauntlet

Credit Risk Analyst

New York, NY

This is not a seat where you inherit a model and press run. You will define the underwriting ... The role The Credit Risk team runs due diligence on the assets, protocols, and chains supported by ...

Ryan Specialty

Quantitative Risk Modeling Lead

Position Summary As a Quantitative Risk Modeling Led in the Ryan Credit Solutions department at Ryan Specialty, you will leverage your actuarial and quantitative expertise to shape the underwriting ...

Regional Finance

Manager Credit Risk

Plano, TX · On-site

Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive ...

Biz2Credit Inc

Director of Credit Risk

Manhattan, NY

$160K - $190K/yr

Responsibilities Credit Decisioning Model Development * Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio ...

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Internship Credit Risk Modeling information

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$124.5K

$145.1K

$187.5K

How much do internship credit risk modeling jobs pay per year?

As of Jul 15, 2026, the average yearly pay for internship credit risk modeling in the United States is $145,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $148,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Credit Risk Modeling, and why are they important?

To thrive as an Internship Credit Risk Modeling, you generally need strong quantitative and analytical skills, a background in finance, statistics, or a related field, and familiarity with risk concepts. Experience with statistical programming languages such as Python, R, or SAS, and proficiency in Excel or SQL, are commonly required, and relevant coursework or certifications in risk management or data analysis are advantageous. Attention to detail, critical thinking, and effective communication help interns stand out when interpreting data and presenting risk findings. These skills are important to ensure accurate risk assessments, support data-driven decision-making, and facilitate collaboration within financial institutions.

What types of projects or tasks can I expect to work on during an Internship in Credit Risk Modeling?

As an intern in Credit Risk Modeling, you'll typically assist with statistical analysis, data preparation, and validation of risk models used by the organization to evaluate creditworthiness. You may support senior analysts in building or refining predictive models using programming languages like Python or R, and work with large datasets to uncover trends in borrower behavior. Interns often collaborate with risk analysts, data scientists, and IT teams, gaining exposure to both technical and business perspectives. This hands-on experience helps build a solid foundation for a future career in quantitative finance or risk management.

What is the difference between Internship Credit Risk Modeling vs Credit Risk Analyst?

AspectInternship Credit Risk ModelingCredit Risk Analyst
CredentialsTypically pursuing or recent graduate, some familiarity with finance or statisticsBachelor's degree in finance, economics, or related field; often requires some experience
Work EnvironmentInternship setting, supervised, project-basedFull-time, professional environment, more independent responsibilities
Industry UsageEntry-level, educational focus, training periodCore role in financial institutions, ongoing risk assessment

Internship Credit Risk Modeling positions are designed for students or recent graduates gaining initial experience, often with supervised tasks. Credit Risk Analysts are experienced professionals responsible for ongoing risk evaluation, requiring more advanced skills and independence. The internship serves as a training ground, while the analyst role involves continuous risk management in financial institutions.

What is an Internship in Credit Risk Modeling?

An Internship in Credit Risk Modeling is a temporary position, usually for students or recent graduates, where you work with financial institutions to understand and help develop models that predict the likelihood of borrowers defaulting on loans. Interns typically assist in analyzing data, building statistical models, and supporting risk assessment processes. This role provides hands-on experience with financial data, programming, and model validation, making it valuable for those interested in finance, statistics, or data science. It also offers exposure to regulatory requirements and real-world risk management practices.
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Internship Credit Risk Modeling jobs near you
Infographic showing various Internship Credit Risk Modeling job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $145,100 per year, or $69.8 per hour.
Quant Analytics Manager - Credit Risk Modeling

Quant Analytics Manager - Credit Risk Modeling

KeyBank

Brooklyn, OH • On-site

Full-time

Posted 23 days ago

KeyBank rating

8.4

Company rating: 8.4 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

34th of 149 rated banks

Job description

Location:
4900 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (JOB BRIEF)
The Quantitative Analytics Manager is primarily responsible for leading the development and validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What will we do?". Projects undertaken by the Quantitative Analytics Manager are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. Success factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners' problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputation as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the "bigger picture" and driving efficiency in solution delivery
ESSENTIAL JOB FUNCTIONS
  • Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions "What will happen and what should we do about it?"
  • Often responsible for large, complex problems that have broad implications and are less frequent
  • Recommend solutions based on understanding of the context, connections, and conclusions
  • Reviews deliverables; proactively coaches others on approach and work product
  • Lead and evangelize on best practices of capturing and retaining data
  • Coordinate with data stewards and anticipate needs process/procedures
  • Make continuous improvements to data procedures, including data efficiency
  • Recommend best analysis method for the situation

REQUIRED QUALIFICATIONS
  • Master's degree (or equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience

PREFERRED QUALIFICATIONS:
  • 10 or more years developing scorecard models in the financial services industry in credit risk management or fraud.

DATA LITERACY
  • Understanding of:
    • Best practices for capturing / retaining data
    • Pros / Cons of competing analysis methods
  • Experience leading by:
    • Partnering with others to anticipate and understand needs process/procedures
    • Leading information practices / policies / procedures
    • Setting standards and expectations for data analysis tools and techniques; ensuring compliance with application
    • Promoting increased efficiency of data analysis by advocating clearer data requirements

TECHNOLOGY & TECHNIQUES
  • Advanced Microsoft Office Suite
  • SQL/NoSQL
    • Relationship data structure
    • Selecting and retrieving data including unstructured data retrieval, archival, and ETL
    • Databases
  • Advanced Python/R/SAS:
    • Databases
    • Efficient coding
    • Can build strong code controls and translate code into high-level commentary
  • Understanding of and ability to leverage:
    • Cloud-based computing
    • Distributed computing

MODEL BUILDING & MAINTENANCE
  • Ability to:
    • Establish standards and best practices; forecast future modeling tools / techniques
    • Identify, employ, and evangelize emerging techniques from industry / research
    • Coach others on data modeling methods / techniques
    • Facilitate sessions for complex data models
    • Assess and understand risks; contingency plans
    • Communicate observations to senior executives
    • Translate technical observations to a non-technical audience

EXPECTED COMPETENCIES
  • Leadership: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
  • Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
  • Business Acumen: Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
  • Critical Thinking / Problem Solving: Critical thinker: able to anticipate business partner needs; Sees the "bigger picture"; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
  • Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right time through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence

COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 07/20/2026KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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About KeyBank

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Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849

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