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Credit Risk Developer Jobs in California (NOW HIRING)

Strong programming skills in Python/SQL for data analysis, modeling and automation. * Solid ... Experience with credit risk modeling methodologies: Scorecard models, XGBoost, time-series analysis ...

Credit Manager

San Jose, CA ยท On-site

$120K - $142K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join ... The Credit Manager will be involved with the daily credit risk optimization requirements and ...

Credit Manager

San Jose, CA ยท On-site

$120K - $142K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join ... The Credit Manager will be involved with the daily credit risk optimization requirements and ...

Credit Manager

San Jose, CA ยท On-site

$120K - $142K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join ... The Credit Manager will be involved with the daily credit risk optimization requirements and ...

Sr. Credit Analyst

San Jose, CA ยท On-site

$98K - $109K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join ... The Senior Credit Analyst will be involved with the daily credit risk optimization requirements and ...

Credit Risk Python Architect

Irvine, CA ยท On-site

$111K - $131K/yr

... Risk Administration credit models, analytics, and reporting ... We are seeking a Python developer / solutions architect to drive forward our next-gen model ...

Credit and Collections Lead

San Francisco, CA ยท On-site

$185K - $205K/yr

You will help define how AI and modern tooling can improve risk identification, account ... You will partner closely with Finance Systems, Product, Engineering, and operational teams to ...

Independently manage cross-functional relationships across Product, Engineering, Operations, Credit Risk, and executive leadership. * Influence stakeholders through clear communication and data ...

Lead endtoend credit risk consulting initiatives, contributing to origination and closing of ... Collaborate crossfunctionally with Product, Engineering, Risk Governance, Legal, Compliance, and ...

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Showing results 1-20

Credit Risk Developer information

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

AspectCredit Risk DeveloperCredit Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; often some programming knowledgeBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentDevelops risk models, works with data and software toolsAnalyzes credit data, assesses borrower risk, prepares reports
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending institutions, credit bureaus

While both roles focus on credit, the Credit Risk Developer primarily builds and maintains risk models using programming and data analysis, whereas the Credit Analyst evaluates individual creditworthiness and prepares risk assessments. Both roles are essential in credit decision processes but differ in technical focus and daily tasks.

What are Credit Risk Developers?

Credit Risk Developers are specialized software developers who design, build, and maintain systems that assess and manage financial risk for lending institutions or investment firms. They create algorithms and tools that analyze credit data, model potential losses, and ensure compliance with regulatory requirements. Their work supports decision-making processes related to lending, underwriting, and portfolio management. Typically, they collaborate closely with risk analysts, data scientists, and financial professionals to develop solutions that improve risk assessment accuracy and efficiency.

How does a Credit Risk Developer typically collaborate with risk analysts and business stakeholders?

A Credit Risk Developer often works closely with risk analysts to understand credit risk models and translate their requirements into robust software solutions. Regular meetings with business stakeholders are common to gather feedback, ensure alignment with regulatory standards, and adapt to changing business needs. This role requires strong communication skills to bridge the gap between technical and non-technical teams, ensuring that risk assessment tools are both accurate and user-friendly.

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

To thrive as a Credit Risk Developer, you need strong programming skills (such as Python, Java, or C++), a solid background in mathematics or finance, and experience with credit risk modeling. Familiarity with risk management systems, statistical analysis tools, and relevant certifications (like FRM or CFA) is often required. Exceptional problem-solving abilities, collaboration, and clear communication set outstanding candidates apart. These skills ensure accurate development and maintenance of credit risk models, enabling effective risk mitigation and regulatory compliance in financial institutions.
What job categories do people searching Credit Risk Developer jobs in California look for? The top searched job categories for Credit Risk Developer jobs in California are:
What cities in California are hiring for Credit Risk Developer jobs? Cities in California with the most Credit Risk Developer job openings:
Sr. Data Scientist (Credit Risk)

Sr. Data Scientist (Credit Risk)

Achieve

San Mateo, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Company Description

Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers.

Job Description

We are looking for an experienced, hands-on Credit Risk, Sr. Data Scientist who is comfortable working with large data sets, coding in SQL and Python and gaining insights from the data and translating the results into actionable insights for business stakeholders. In this role, you will maintain and enhance our credit risk models/policies to monitor the portfolio and gain insights. You will also build and monitor credit risk models with an eye on loss forecasting and communicate the results to different teams such as Capital Market and Marketing. The candidate should have a passion for streamlining processes and building tools which can monitor models/portfolio effectively. You will be a key contributor to our risk management processes.

Key Responsibilities

  • Building, maintaining and enhancing credit risk models for lending portfolios.
  • Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics to perform model and portfolio monitoring.
  • Perform exploratory data analysis (EDA) to identify portfolio trends, drivers of loss performance (vintage, credit bands, borrower attributes, macro factors) and provide insight into model deviations.
  • Maintain forecast deliverables: monthly/quarterly loss forecasts by vintage and segment, stress and scenario analyses, sensitivity testing.
  • Provide commentary and insights to business stakeholders on credit policy assumptions, model health, and emerging portfolio risks.
  • Automate reporting, dashboards and pipelines to streamline model monitoring and improve efficiency and accuracy.
  • Document model methodologies, assumptions, data sources and results in clear, audit-ready format consistent with risk governance requirements.
  • Participate in governance and review of credit model methodology, model validation support and liaise with external auditors or regulators where needed.
  • Continuously identify opportunities to improve credit decisioning accuracy, data infrastructure, modeling techniques, and integrate advanced statistical or machine-learning techniques as appropriate.
Qualifications

Required:

  • Minimum of 8ย years' hands-on experience in credit risk modeling and portfolio monitoring. For example, roles in model and performance monitoring, tracking charge-offs, delinquencies, vintage analysis, roll-rates, etc.
  • Strong programming skills in Python/SQL for data analysis, modeling and automation.
  • Solid background in Probability & Statistics
  • Experience with pricing and price optimization along with analytics and monitoring related to pricing
  • Experience with credit risk modeling methodologies: Scorecard models, XGBoost, time-series analysis, vintage modeling, roll-rate curves, survival analysis or logistic regression in consumer credit risk context.
  • Familiarity with data visualization tools (e.g., Tableau, Python Widgets) or dashboarding
  • Strong analytical and critical thinking skills; ability to interpret results, identify trends, draw actionable insights and communicate clearly to non-technical stakeholders.
  • Excellent documentation skills and experience in preparing audit-ready deliverables (methodologies, assumptions, model validation support).
  • Master's degree in Economics, Statistics, Mathematics, Data Science or a related quantitative discipline (PhD preferred, but not required).


ย Preferred:

  • Experience in lending (personal loans or credit cards) or fintech lending environment.
  • Experience with credit risk modeling (development & monitoring)
  • Experience working with credit decisioning engines such as Oscilar, TakTile etc...
  • Experience working in CKLightbox environmentย 
  • Experience working in the GCP environment.
  • A Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team.
Additional Information

Achieve well-being with:

  • Hybrid and remote work opportunities
  • 401 (k) with employer match
  • Medical, dental, and vision with HSA and FSA options ย 
  • Competitive vacation and sick time off, as well as dedicated volunteer days
  • Access to wellness support through Employee Assistance Program, Talkspace, and fitness discounts
  • Up to $5,250 paid back to you on eligible education expenses
  • Pet care discounts for your furry family members
  • Financial support in times of hardship with our Achieve Care Fund
  • A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups

Note: We will be unable to facilitate H1-B Visa transfer or sponsorship, along with STEM-OPT Visa.

Work from home/hybrid:

We are proudly offering hybrid options in the Phoenix, AZ and San Francisco, CA metro market. We are offering 100% remote work in other approved locations.

Salary Range: $165,000 to $185,000 salary + bonus + benefits.

This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.

Join Achieve, change the future.

At Achieve, we're changing millions of lives.
From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you'll get to be a part of their journey to a better financial future. We're proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job-it's a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first.


Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve's Talent Acquisition leader.