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Credit Risk Analyst Intern Jobs in Berkeley, CA (NOW HIRING)

Canadian Solar

Credit Controller

Walnut Creek, CA · On-site

Evaluate customer and counterparty creditworthiness through financial statement analysis, credit assessments, and ongoing portfolio monitoring, recommending credit limits and appropriate risk ...

Canadian Solar

Credit Controller

Walnut Creek, CA

Evaluate customer and counterparty creditworthiness through financial statement analysis, credit assessments, and ongoing portfolio monitoring, recommending credit limits and appropriate risk ...

SoFi

Senior Credit Manager

San Francisco, CA · On-site

The Senior Credit Manager will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending ...

CS Power Tech Inc.

Credit Controller

Walnut Creek, CA · On-site

$160 - $200/hr

Evaluate customer and counterparty creditworthiness through financial statement analysis, credit assessments, and ongoing portfolio monitoring, recommending credit limits and appropriate risk ...

SoFi

Senior Credit Manager

San Francisco, CA · On-site

The Senior Credit Manager will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending ...

SoFi

Senior Credit Manager

San Francisco, CA · On-site

The Senior Credit Manager will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending ...

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Showing results 21-40

All JobsCredit Risk Analyst Intern JobsCredit Risk Analyst Intern Jobs in Berkeley, CA

Credit Risk Analyst Intern information

See Berkeley, CA salary details

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How much do credit risk analyst intern jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for credit risk analyst intern in Berkeley, CA is $21.31, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $21.20 per hour, depending on experience, location, and employer.

What does a credit risk analyst intern do?

A Credit Risk Analyst Intern supports the credit risk team by analyzing financial data, assessing the creditworthiness of individuals or companies, and preparing reports on potential risks. They may assist in monitoring credit portfolios, researching industry trends, and helping to develop models that predict credit risk. Interns typically work under the supervision of senior analysts and gain hands-on experience with the tools and methodologies used in risk assessment. This role is an excellent opportunity for students to learn about financial analysis, risk management, and decision-making in a professional environment.

What are some typical projects or tasks a credit risk analyst intern might work on during their internship?

As a Credit Risk Analyst Intern, you can expect to assist with data gathering and analysis to evaluate the creditworthiness of clients or portfolios, support the preparation of risk assessment reports, and help monitor key risk indicators. Interns often work closely with senior analysts to develop financial models, conduct industry research, and contribute to presenting findings to stakeholders. This collaborative environment provides valuable exposure to risk management processes and offers hands-on experience with analytical tools that are highly valued in the finance industry.

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

To thrive as a Credit Risk Analyst Intern, you need strong analytical skills, proficiency in quantitative methods, and a background in finance, economics, or statistics, often supported by relevant coursework. Familiarity with Excel, statistical software (such as SAS or R), and financial modeling tools is typically expected. Attention to detail, effective communication, and a willingness to learn help interns stand out in collaborative, data-driven environments. These skills are crucial for accurately assessing creditworthiness, managing risk, and supporting informed lending decisions.

What is the difference between Credit Risk Analyst Intern vs Credit Risk Analyst?

AspectCredit Risk Analyst InternCredit Risk Analyst
Required CredentialsTypically pursuing or recent graduate in finance, economics, or related fieldBachelor's degree often required; certifications like CFA or FRM preferred
Work EnvironmentInternship setting, learning-focused, supervisedFull-time professional role, responsible for analysis and decision-making
Employer & Industry UsageInternship programs in banks, financial institutions, or credit agenciesFull-time positions in similar organizations, with increased responsibilities

The main difference between a Credit Risk Analyst Intern and a Credit Risk Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining industry exposure, while analysts are full-time professionals performing detailed credit risk assessments and decision-making.

What are popular job titles related to Credit Risk Analyst Intern jobs in Berkeley, CA?

For Credit Risk Analyst Intern jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Credit Risk Analyst Intern jobs in Berkeley, CA look for?

The top searched job categories for Credit Risk Analyst Intern jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Credit Risk Analyst Intern jobs?

Cities near Berkeley, CA with the most Credit Risk Analyst Intern job openings:

Credit Risk Analyst Intern jobs near you
Infographic showing various Credit Risk Analyst Intern job openings in Berkeley, CA as of August 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,329 per year, or $21.3 per hour.

Data Scientist - Credit & Risk

Divine Research Inc

San Francisco, CA • On-site

Full-time

Re-posted 29 days ago

Job description

Traditional credit was built for people who already have money. Requirements for credit history, collateral, and costly underwriting create insurmountable barriers for those who need capital most. Over 1.4 billion people lack access to credit. A vendor in Lagos earns cash daily but can't prove a steady income. A Colombian nurse with years of perfect informal repayments remains invisible to banks. Most lending systems spend a lot to guess who will repay, and yet so many who are creditworthy still can't get a loan.
We built an alternative called Credit. Since December 2024, it has issued over one million unsecured loans using stablecoins. People from around the world have used these loans to pay for things like groceries, medicine, and transportation. Backed by $6.6 million from Paradigm and Nascent, we're scaling a system that has already reached more than 900,000 unique borrowers. Help us take it to the next level.
About the role
We're looking for a data scientist to drive credit risk intelligence across Credit, our leading unsecured lending system. You'll own portfolio monitoring and reporting, research emerging risk trends, and transform borrower behavioral data into actionable guidance that shapes our credit strategy and roadmap.
While our engineering & research teams owns the underlying models, you'll be the person who makes sense of what they're telling us, tracking portfolio health, identifying issues early, and turning insights into clear recommendations for risk strategy and underwriting policy. Over time, this role may expand to drive broader product analytics across our suite of products.
This role is based in San Francisco, California. We work in a hybrid model, with the team in office 3 days per week.
Stack
  • Python
  • SQL
  • Grafana/Prometheus/Metabase
  • Blockchain data and indexing tools (Dune, Shovel)
Key responsibilities
  • Monitor credit risk models, including underwriting, loss forecasting, and fraud detection, and iterate based on observed portfolio performance
  • Design, build, and maintain scalable data pipelines, monitoring infrastructure, and dashboards to track portfolio health, user behavior, and key risk indicators
  • Partner with product, research, and engineering teams to define north star metrics and translate them into measurable, actionable credit and growth strategies
  • Design and analyze A/B tests, quasi-experiments, and causal inference studies to evaluate the impact of product and policy changes
  • Produce portfolio monitoring and investigative analyses, making recommendations based on findings
  • Translate complex quantitative findings into clear, compelling narratives for product, leadership, and cross-functional stakeholders
Requirements
  • 4+ years of experience in decision science, credit risk analytics, or a closely related quantitative role within fintech or consumer lending
  • Deep proficiency in Python and SQL; comfortable owning analyses end-to-end from raw data to recommendation
  • Strong understanding of credit risk modeling concepts, including PD/LGD modeling, scorecard development, reject inference, vintage analysis, and risk segmentation
  • Demonstrated experience monitoring credit risk metrics and portfolio performance, including loss forecasting and underwriting model improvement
  • Proven ability to influence and collaborate with cross-functional teams and senior stakeholders, with a track record of translating analytical findings into accessible, actionable insights
  • Experience designing and evaluating experiments (A/B tests, holdout groups, or causal inference frameworks) in a consumer product context
  • Comfortable with ambiguity and biased toward action; thrives with minimal oversight and brings strong problem-solving skills and sharp attention to detail
Nice to have
  • Experience building or maintaining large-scale data pipelines supporting B2C financial products
  • Familiarity with credit bureau data, cash flow underwriting, or alternative data sources in credit model development
  • Experience working in emerging markets, ideally on financial products serving everyday consumer needs (microfinance, BNPL, digital lending)
  • Strong understanding of DeFi protocol mechanics (lending, yield vaults, ERC4626) and experience with onchain data tooling (Dune, Shovel, Ponder, Goldsky or similar)
  • Exposure to regulatory frameworks relevant to consumer credit (FCRA, ECOA, or equivalent)

Divine Research is an equal opportunity employer.

Apply