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Remote Credit Risk Modeling Jobs in California (NOW HIRING)

First Bank

Commercial Underwriter

Newport Beach, CA · On-site

$96K - $125K/yr

... credit risk management framework and is responsible for the independent risk assessment of ... location for remote positions. Compensation decisions depend on the specific facts and ...

The Hartford

Sr. Consultant Risk Engineering

Brea, CA · On-site +1

This role offers a remote or hybrid work arrangement, with the expectation of coming into an office ... delivery models * Develop and execute data driven service plans that address loss drivers ...

Avidbank

Portfolio Manager

San Jose, CA · On-site +1

$90K - $140K/yr

In addition to managing credit risk, the AVP Portfolio Manager will focus on excellent customer ... Financial modeling experience and comfort * Ability to manage complex credits and client ...

Finix

Business Operations Analyst

San Francisco, CA · On-site +1

$100K - $160K/yr

Experience in payments, fintech, or financial services, particularly in credit risk, collections ... hire (remote) salaries. Individual pay is determined by work location, job-related skills ...

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Wise Skulls

Oracle Cloud GRC Lead

Irvine, CA · On-site +1

Remote (Irvine, CA - Willing to travel for workshops) Duration: 6+ months Implementation Partner ... Define and Configure Segregation of Duties (SoD) rules, User access policies and roles, Risk models ...

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All JobsRemote Credit Risk Modeling JobsRemote Credit Risk Modeling Jobs in California

Remote Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a Remote Credit Risk Modeler, and why are they important?

To thrive as a Remote Credit Risk Modeler, you need a strong background in statistics, data analysis, and financial risk assessment, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical modeling tools such as SAS, R, Python, and experience with credit risk platforms or regulatory frameworks like Basel II/III are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting complex data and collaborating with remote teams. These skills ensure accurate risk assessments, regulatory compliance, and sound decision-making in credit portfolios.

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

AspectRemote Credit Risk ModelingRemote Credit Analyst
Required CredentialsDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficialDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficial
Work EnvironmentDeveloping models, analyzing data, using statistical softwareAssessing creditworthiness, reviewing financial documents, communicating with clients
Industry UsageFinancial institutions, credit bureaus, fintech companiesBanks, lending institutions, credit agencies

Remote Credit Risk Modeling focuses on creating statistical models to predict credit risk, requiring strong analytical skills and technical expertise. Remote Credit Analysts evaluate individual credit applications and assess risk based on financial data. While both roles operate remotely within the finance industry, they differ in daily tasks and skill emphasis, with modeling being more technical and analysis more client-focused.

How does a remote Credit Risk Modeling professional typically collaborate with cross-functional teams?

As a remote Credit Risk Modeling professional, collaboration with cross-functional teams—such as data analysts, IT specialists, and business stakeholders—is usually facilitated through virtual meetings, shared project management tools, and version-controlled code repositories. Clear communication and regular updates are essential, as you'll often need to translate complex modeling outcomes into actionable insights for non-technical colleagues. Building strong relationships remotely can be a challenge, but utilizing video calls and collaborative documentation helps ensure alignment on project goals and timelines.

What is remote credit risk modeling?

Remote credit risk modeling involves analyzing and predicting the likelihood that borrowers will default on their loans, all while working from a location outside of a traditional office setting. Professionals in this role use statistical techniques and data analysis tools to assess creditworthiness and help financial institutions minimize risk. They often collaborate with teams virtually, utilizing secure platforms to access data and build predictive models. This remote setup allows for flexibility and efficiency while still upholding high standards of data security and accuracy.
What are the most commonly searched types of Credit Risk Modeling jobs in California? The most popular types of Credit Risk Modeling jobs in California are:
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Remote Credit Risk Modeling jobs near you

Director, Thought Leadership and Industry Insights

Experian

Costa Mesa, CA • On-site, Remote

$176K - $316K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
We are looking for a credible Director to lead our team. You will transform advanced analytics, internal data assets, and market intelligence into compelling narratives. These narratives are data-backed and support strategic sales plans, influence industry conversations, and position us as a leader in data-driven decisioning. You will work across Analytics, Product, Sales, and Marketing. You will report to the VP of Analytics Product Build, Innovation, and Scores. You will be fully remote.
You Will:
  • Manage our strategy, grounded in data analysis and empirical thoughtfulness.
  • Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights.
  • Translate analytical findings, model outputs, and product capabilities into clear, market-facing narratives that demonstrate value.
  • Develop industry perspectives on credit lifecycle optimization, alternative data, machine learning adoption, portfolio risk, fraud, and regulatory trends.
  • Support large strategic sales opportunities with analytical framing, benchmarks, and data-driven proof points that strengthen value propositions.
  • Create executive-ready content-including industry reports, white papers, sales enablement decks, client POVs, and conference presentations.
  • Collaborate with Data Science teams to validate assumptions, interpret model behavior, and ensure analytical rigor in published insights.
  • Identify new industry trends using both qualitative indicators and quantitative evidence.
  • Represent us externally, presenting Experience researching and generating leads grounded insights to senior client and industry audiences.

Qualifications
  • 10+ years of experience in data science, analytics, credit risk, product strategy, or financial services consulting.
  • Proficiency in Python (Pandas, NumPy, SciPy, and visualization libraries) for exploratory analysis generation.
  • Advanced SQL skills for querying large datasets and validating metrics across complex data sources.
  • Experience with data-driven decisioning, analytics, and the credit lifecycle.
  • Experience interpreting model performance metrics (AUC, KS, lift, stability) and translating them into business possible effects.
  • Experience in leadership, market analytics enablement roles.
  • Familiarity with machine learning concepts and their application in decisioning systems.
  • Understanding of regulatory and compliance considerations related to data usage and analytics.
  • Experience with large-scale data platforms, credit attributes, scores, or decision engines.
  • Background in client-facing consulting, pre-sales analytics, or strategy roles.
  • Experience speaking at conferences or industry forums.

Additional Information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Benefits/Perks:
  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
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