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Remote Credit Risk Modeling Jobs in Fremont, CA (NOW HIRING)

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 ...

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 ...

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 Job Summary: This role involves designing ... and credit risk financial functions and terminology. ABOUT AKRAYA Akraya is an award-winning ...

Qcells

Director, Compliance Risk

Santa Clara, 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.

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 ...

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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 popular job titles related to Remote Credit Risk Modeling jobs in Fremont, CA?

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

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

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

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

Cities near Fremont, 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 Fremont, CA as of August 2026, with employment types broken down into 65% Full Time, 20% Part Time, and 15% Contract. Highlights an 100% Remote job distribution.

Retail Banking Consultant - Fully Remote | Upto $70/hr

Mercor

San Francisco, CA • Remote

$70/hr

Full-time

Posted 11 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Retail Banking Expert
Type: Contract
Compensation: $60–$70/hour
Location: Remote

Role Responsibilities

  • Construct enterprise retail banking scenarios spanning large-scale deposit and lending operations, multi-stakeholder branch network decisions, and complex regulatory examination or compliance review cycles.
  • Build tasks across F500 consumer lending (mortgage, auto, personal), branch and digital banking operations, credit risk and underwriting, fraud prevention, and customer experience/retention strategy.
  • Develop retail banking operations scenarios involving tools such as core banking platforms (FIS, Fiserv, Temenos), loan origination systems (LOS), CRM platforms, and fraud detection/AML monitoring tools in F500 stacks.
  • Apply enterprise retail banking frameworks (credit risk scoring models, CFPB/regulatory compliance standards, omnichannel service design, KYC/AML protocols) and produce reference lending policies, risk assessments, and executive-level operational narratives.
  • Author rubrics that distinguish authentic enterprise retail banking judgment from generic textbook or licensing-exam-level recall.

Qualifications

Must-Have

  • 5+ years working in consumer lending, branch operations, credit risk, or compliance at a Fortune 500 retail bank (JPMorgan Chase, Bank of America, Wells Fargo, Citi, U.S. Bank).
  • Direct ownership of F500-scale lending portfolios, branch/digital banking operations, or regulatory compliance programs.
  • Fluency in enterprise retail banking tooling and frameworks, plus understanding of how F500 regulatory examinations (OCC, CFPB, FDIC), KYC/AML compliance, and credit risk governance actually work.

Preferred

  • Prior rubric, banking-training curriculum, or policy/risk documentation authorship is a plus.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.