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Remote Credit Risk Modeling Jobs in San Francisco, CA

Earnest

Director of Collections Strategy

San Francisco, CA · On-site +1

$221K - $253K/yr

Leverage advanced risk modeling and analytics to design collections and loss-mitigation strategies ... Loan Refinance, Credit Cards, or other installment lending products. * Proven track record of ...

Akraya Inc.

AWS Cloud Developer : 26-02409

Oakland, CA · On-site +1

$90 - $95/hr

Oakland, CA (#LI - Remote) Pay Range: $90-$95/Hr. on W2 #LP Job Summary: This role involves ... and credit risk financial functions and terminology. ABOUT AKRAYA Akraya is an award-winning ...

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 ...

Qcells

Director, Compliance Risk

San Francisco, CA · On-site +1

$145K - $195K/yr

... fintech model, along with the ability to translate regulatory requirements into scalable ... Santa Clara, CA or Teaneck, NJ. Remote work may be considered for exceptional cases.

Earnest

Director of Collections Strategy

San Francisco, CA · On-site +1

$221K - $253K/yr

Leverage advanced risk modeling and analytics to design collections and loss-mitigation strategies ... Loan Refinance, Credit Cards, or other installment lending products. * Proven track record of ...

YO AI Labs

Oncology Expert - Remote

San Francisco, CA · Remote

$150 - $200/hr

Review benefit-risk assessments and identify clinically inconsistent, inaccurate, or implausible ... Support AI model training by delivering high-quality clinical evaluations and expert feedback.

YO AI Labs

Clinicia Expert - Remote

San Francisco, CA · Remote

$150 - $200/hr

Review benefit-risk assessments and identify clinically inconsistent, inaccurate, or implausible ... Support AI model training by delivering high-quality clinical evaluations and expert feedback.

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All JobsCredit Risk Modeling JobsRemote Credit Risk Modeling JobsRemote Credit Risk Modeling Jobs in San Francisco, CA

Remote Credit Risk Modeling information

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.

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 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.

What are the most commonly searched types of Credit Risk Modeling jobs in San Francisco, CA?

The most popular types of Credit Risk Modeling jobs in San Francisco, CA are:

What are popular job titles related to Remote Credit Risk Modeling jobs in San Francisco, CA?

For Remote Credit Risk Modeling jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Remote Credit Risk Modeling jobs in San Francisco, CA look for?

The top searched job categories for Remote Credit Risk Modeling jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Credit Risk Modeling jobs?

Cities near San Francisco, CA with the most Remote Credit Risk Modeling job openings:

Remote Credit Risk Modeling jobs near you
Infographic showing various Remote Credit Risk Modeling job openings in San Francisco, CA as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 4% In-person, and 96% Remote job distribution.

Quantitative Developer, Economic Modeling - Contractor

Jupiter Intelligence, Inc.

San Mateo, CA • On-site, Remote

$50 - $60/hr

Contractor

Posted 4 days ago

Job description

About Us
Jupiter is the global market leader in analytics for resilience planning and enterprise climate risk management. We are led by pioneers in data, climate, and earth and ocean sciences, as well as technology, risk management, company building, and public policy. Our climate risk modeling solutions save lives and mitigate potentially catastrophic impacts inflicted by hurricanes, floods, heat waves, wildfires, drought, and other extreme weather events on homes, businesses, infrastructure, food and water supplies, and entire economies.
Jupiter is also committed to the world community. Through our Jupiter Promise initiative we provide services to under-resourced countries and communities to promote sound decision making while including the potential impacts of climate change. Employees are encouraged to provide their expertise to various programs under the Jupiter Promise initiative.
Jupiter is bringing diversity to prepare a diverse planet for our changing climate. Jupiter was founded on the principle that with the right approaches and the right team, we can prepare Earth's economies to meet the challenges associated with climate change. The world is a diverse place; a diverse workforce in an inclusive environment is essential to meet our goals. We go forward together.
Join Jupiter's Product organization to help build the risk engine behind our economic modeling. Working directly with the Principal PM, for Economic & Financial Modeling, you will translate climate hazard data into actionable financial metrics like EBITDA impact, CapEx/OpEx, and credit risk.
This is an associate-level, development-focused contract role designed for someone with solid Python and data engineering skills alongside a foundation in economics or finance. You will spend your time building and scaling model infrastructure while expanding your financial domain knowledge on the job through direct mentorship.
What You Will Do
  • Build & Scale Pipelines: Write modular, well-tested Python code to move models from research prototypes into production pipelines across large company and asset datasets.
  • Support Model Research: Assist in prototyping statistical, econometric, and machine learning models (e.g., time-series analysis, regression) to project climate hazard impacts.
  • Data Engineering: Source, clean, and transform diverse financial, building, and hazard datasets, resolving missing data or anomalies.
  • Cross-Functional Collaboration: Partner with engineering, product, and client teams to document outputs and communicate analytical findings clearly.

What You Will Bring
  • Degree in a quantitative field (Computer Science, Finance, Economics, Statistics, or related discipline) or equivalent practical experience.
  • Effective Python coding skills with a focus on writing clean, production-quality code (rather than one-off scripts).
  • Foundational understanding of finance or economics and an eagerness to learn more.
  • Basics of data engineering (sourcing, transforming, cleaning data) and standard git workflows.
  • Ability to work both independently as well as collaboratively with multiple teams.

What Sets You Apart
  • Experience working with large datasets, Docker, cloud environments (AWS/GCP/Azure), or tools like pandas/Polars.
  • Coursework, projects, or practical exposure in financial modeling, credit risk, or physical climate risk.
  • Coursework or experience in financial engineering, credit risk, or quantitative modeling.

$50 - $60 an hour
At Jupiter we value transparency and have a compensation plan where your full-time rate will vary depending on your location and confirmed job-related skills and experience. For part-time roles, your compensation will be adjusted to reflect your hours. Base Pay is based on several factors including but not limited to education, work experience, certifications, etc.
When we say Jupiter Intelligence is an Equal Opportunity Employer, we are not just adding a legal addendum. Of course, we do not discriminate:
Jupiter Intelligence is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation.
In fact, we celebrate our differences as our strength and actively work to build an inclusive environment for all. If we can do anything to improve your application and interview process, please let us know!
Please also note: Successful candidates must be authorized to work in the US
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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