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

Credit Sesame

Senior Security Engineer

Mountain View, CA · On-site +1

$170K - $215K/yr

Credit Sesame is a leading financial wellness platform dedicated to helping consumers achieve ... Threat-model and pentest our AI/LLM systems - scope risks like prompt injection and data ...

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.

YO AI Labs

Hematology Expert - Remote

Palo Alto, 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

Oncology Expert - Remote

San Jose, 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 Fremont, 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 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.

Senior Security Engineer

Credit Sesame

Mountain View, CA • On-site, Remote

$170K - $215K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

Job description

Credit Sesame is a leading financial wellness platform dedicated to helping consumers achieve better financial health through cutting-edge technology and data-driven solutions. With a decade of credit expertise and a proven track record of serving over 18 million users, Credit Sesame leverages AI and advanced analytics to empower individuals to better understand and manage their credit. Our recently launched Sesame Platform extends our mission by providing financial institutions with a turnkey AI-powered credit intelligence solution.
As our security engineer, you'll own security end-to-end for our platform - standing up open-source tooling, writing your own scripts and automation, and running assessments on our engineering team.
You'll...
  • Run security reviews for new tools, vendors, and projects - data handling, AI usage, DPAs, PII, authentication/authorization, and third-party security reports (SOC 2, PCI, ISO, pentest results)
  • Own access and infrastructure security - IAM least-privilege reviews, S3/database access controls, environment segregation, service-to-service authentication, and network configuration audits (VPC flow logs, inbound/outbound rules)
  • Run vulnerability management across cloud and endpoints, and manage IDS/IPS (e.g., Palo Alto Panorama, AWS WAF) and EDR/MDR tooling
  • Lead security incident response end to end - triage, investigate, contain, document, and build the runbooks as you go
  • Implement and maintain the technical controls supporting our PCI DSS and SOC 2 / ISO 27001 compliance programs, including internal audits, risk metrics, and disaster recovery planning
  • Partner with DevOps/IT on patch management and secure infrastructure defaults, and present tooling and risk recommendations to engineering leadership
  • Build our in-house AppSec scanning program - evaluate and pilot SAST/SCA/IaC tooling (Semgrep, Trivy, Upwind), integrate into GitLab CI and Jenkins, define severity-based remediation SLAs, and drive rollout across services
  • Build internal security tooling and automation - custom scripts and integrations (Python/boto3, APIs) that pull data from tools without native integrations into shared dashboards and reports
  • Build and tune detection pipelines - for example, feeding traffic/bot-protection alerts (Datadome) into our log platform (ELK/Kibana) and writing rules that catch real attack patterns
  • Threat-model and pentest our AI/LLM systems - scope risks like prompt injection and data exfiltration through MCP servers, coordinate external pentests where needed, and drive remediation
  • Maintain security policies and practices and drive training and adoption throughout the company
You're a great fit because...
  • You have 7+ years of hands-on security engineering experience across application security, cloud security, and network/penetration testing - not just one lane
  • You've driven tooling or architecture decisions independently (evaluated options, made the call, defended it to leadership)
  • You're self-directed, pragmatic, and ruthless about prioritization
  • You've built production automation from scratch - API integrations, custom collectors, or internal tooling - not just one-off scripts
  • You have hands-on experience deploying and running OSS security tools - Burp Suite Community/OWASP ZAP, Nmap, Nuclei, Metasploit, Semgrep, Trivy, Wazuh/OSSEC, ELK/Kibana, Prowler/ScoutSuite, HashiCorp Vault, or similar
  • You have solid AWS security experience
  • You have working knowledge of PCI DSS, SOC 2, and ISO 27001 - enough to implement controls and support audits
  • You're curious about emerging security domains and comfortable threat-modeling systems (like AI/LLM applications) that don't have an established playbook yet
  • You're an excellent communicator who can translate cost/coverage tradeoffs and technical risk for both engineers and executives
  • Bonus: OSCP, GPEN, or similar certifications; bug bounty experience; or experience securing LLM/AI-based systems
  • BS in Computer Science or related field, or equivalent hands-on experience
You'll love it here because...
  • You'll have equity in a pre-IPO company backed by top VCs;
  • We offer comprehensive medical, dental, and vision insurance;
  • We offer a monthly home office stipend;
  • We offer a professional development program to support your continued growth
  • We offer flexible paid time off;
  • We have 10 paid holidays and additional 6 Sesame Wellness days;
  • We prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.
At Credit Sesame, base pay is one part of our total compensation package. The estimated pay range for this role is $170,000 - $215,000 with actual salary based on a candidate's location, qualifications, skills, and experience. Additionally, this role is eligible to participate in Credit Sesame's equity plans.
We are open to hiring for this role in the following states where we are set up to hire employees: CA, CO, NC, NJ, NV, and TX.
By clicking "Submit Application" (or related call to action), you acknowledge that you have read the Credit Sesame Employment Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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