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Credit Risk Data Science Jobs in Los Angeles, CA

What you'll bring: * 6+ years of experience in Analytics, Data Science, Decision Science, Credit Risk, or a related quantitative function. * Must have 4+ years supporting Credit Card portfolios, with ...

This role will perform data analyses and share results, using such tools as SAS, SQL, Toad, Python ... Risk competencies - Strong process facilitation and project management skills - Effective ...

Environmental Credit Risk Associate Bring your expertise to JPMorganChase. As part of Risk ... Bachelor's degree or equivalent education in environmental sciences or related fields, and may hold ...

... Data Science, Decision Science, Credit Risk, or a related quantitative function. * Must have 4+ years supporting Credit Card portfolios, with deep experience in Credit Risk, Portfolio Management ...

Work alongside data scientists to interpret model outputs * Conduct A/B testing and performance ... Experience with underwriting analytics or credit risk modeling * Familiarity with interpretable ML ...

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Credit Risk Data Science information

See Los Angeles, CA salary details

$39.9K

$122.7K

$212.8K

How much do credit risk data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for credit risk data science in Los Angeles, CA is $122,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $151,400.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Los Angeles, CA?

For Credit Risk Data Science jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Credit Risk Data Science jobs in Los Angeles, CA look for?

The top searched job categories for Credit Risk Data Science jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Credit Risk Data Science jobs?

Cities near Los Angeles, CA with the most Credit Risk Data Science job openings:

Infographic showing various Credit Risk Data Science job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,708 per year, or $59 per hour.

Analytics Manager, Credit Cards

Sunbit

Los Angeles, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Description
Title: Analytics Manager, Credit Cards
Location: Remote
Reports To: Head of Business Analytics
The Company:
Sunbit builds financial technology for real life. Our AI-native platform helps more people get to "yes" at the moments that matter with personalized offers, transparent terms, and no added consumer fees. In stores, practices and service centers across the country, Sunbit provides a fast, fair pay-over-time option. For everything else, the Sunbit Credit Card delivers a modern, no-fee credit experience managed in a powerful mobile app.
We are guided by people-centered values: Serve Others Before Self, Include Always, Connect Genuinely, Innovate for Good. These values shape how we build, how we support customers and merchants, and how we work with each other.
What makes Sunbit different is an AI-native infrastructure that runs through the full customer and merchant journey. Our interconnected AI systems power instant decisioning, streamline fraud checks with human-in-the-loop safeguards, and enable highly personalized offers at scale. The result is a quick, fair, and simple experience for consumers and merchants.
We pair this technology with inclusion and transparency. Sunbit delivers industry-leading approval rates - 90%+ in auto service and 85%+ in dental - while maintaining zero consumer fee-based revenue. It is a better way to serve people and merchants, proven at scale.
Today, Sunbit is available across a nationwide, in-person merchant network of 30,000+ locations spanning auto service centers, dental and optical practices, veterinary clinics, and other specialty services. We help teams say "yes" more often and help customers move forward with confidence.
The Role:
We're looking for a highly analytical, hands-on Analytics Manager to lead analytics for Sunbit's Credit Card portfolio. This is a high-impact individual contributor role that sits at the intersection of Credit Risk, Portfolio Management, Fraud, Marketing, and Business Strategy.
Reporting directly to the Head of Analytics, you'll serve as the primary analytics partner for our Credit Card business-transforming complex data into actionable insights that influence product strategy, portfolio growth, risk management, and executive decision making.
Success in this role requires far more than technical expertise. We're looking for someone who naturally takes ownership, proactively identifies opportunities, independently partners across Engineering, Product, Credit Risk, Fraud and Business leadership, and helps drive decisions rather than simply reporting on them.
This role is ideal for someone with deep Credit Card analytics experience who enjoys operating in a fast-paced fintech environment where speed, business judgment, and execution matter.
Requirements
What You'll Do:
  • Be a catalyst to help the card business functions operate strategically using data.
  • Drive evaluation of competing priorities across business functions and appropriate disposition solutions that are right-sized and scalable.
  • Drive business growth by identifying new opportunities and hypothesis development using data across Credit Risk, Portfolio management, Fraud and marketing.
  • Independently manage cross-functional relationships across Product, Engineering, Operations, Credit Risk, and executive leadership.
  • Influence stakeholders through clear communication and data-driven recommendations.
  • Develop A/B test designs to implement a robust test and learn strategy.
  • Perform ad-hoc analysis ranging from open exploration data analysis to specific root cause analysis.
  • Analyze Credit Card engagement and credit performance and identify levers and patterns that can increase card usage and utilization.
  • Liaison with Data Engineering and Product to build sustainable and scalable data solutions to address business' current and future needs.
  • Own and manage BI reports becoming a focal point for business' data and analytics needs.
  • Leverage AI tools to accelerate analytical velocity and democratize data through self-service agents and tools.

What you'll bring:
  • 6+ years of experience in Analytics, Data Science, Decision Science, Credit Risk, or a related quantitative function.
  • Must have 4+ years supporting Credit Card portfolios, with deep experience in Credit Risk, Portfolio Management, Fraud Analytics, or Consumer Lending.
  • 4+ years of working with and proficient in SQL and excited about acquiring new technical skills.
  • 4+ years working with major BI platforms like Tableau or Sigma.
  • 2+ years of hands-on experience in using Python or R to solve analytical problems.
  • Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Analytics, or another quantitative field (Master's degree preferred).
  • Hands-on technically and excited to drive things end-to-end.
  • Passionate about solving real-world problems with data.
  • Have a growth mindset and take proactive ownership.
  • An 80/20 mindset-delivering meaningful business impact quickly while maintaining analytical quality.
  • Strong communication skills with the ability to simplify complex analytical findings.

Why Choose Sunbit?
Sunbit is recognized as one of the fastest-growing and most admired fintech companies, earning honors from Inc. 5000 (four consecutive years), Forbes Fintech 50, Deloitte Technology Fast 500, Financial Times, and FinTech Breakthrough for its innovation and impact. The company has also been featured among Newsweek's Most Loved Workplaces and CB Insights' Unicorn Companies, reflecting a valuation of $1.1B.
People choose Sunbit for its people-first culture rooted in service, inclusion, and real-world impact. Powered by AI that helps people in life's critical moments-offering high approvals, speed, and zero fees-Sunbit has achieved proven scale across tens of thousands of merchants and millions of transactions. Its fast, fair, and simple financial products empower consumers and partners alike through clarity and trust.
The Perks:
  • Mission driven, empowered, and collaborative culture
  • Competitive pay and stock options
  • Unlimited PTO
  • Comprehensive health benefits (Medical, Dental, Vision, Life, EAP, Parental Leave, HSA, & more)
  • Newly added HSA and Pet Insurance
  • 401(k) with company match
  • Cell Phone Stipend
  • Team-based strategic planning and ownership of deliverables

Sunbit is an Equal Opportunity Employer. We strive to provide a professional & welcoming workplace for all employees.
Recruitment Fraud Disclaimer
We've been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from a @sunbit.com email address, through our applicant tracking platform @sunbit.comeet-notifications.com or directly via LinkedIn. We will never ask for your age, Social Security number, bank account details, payment of any kind, or other unrelated personal information during the application process. Our hiring process always includes interviews, either by phone, zoom, or in person, before any offer is made. If something feels suspicious, please contact us at hr@sunbit.com to confirm.
We ask that you contact hr@sunbit.com only about potential instances of fraud. hr@sunbit.com does not reach our recruiting team directly. Your application directly through the posting is the best way to ensure that your candidacy is reviewed by our team. Due to the volume of applications, we will not respond to nor forward emails about your candidacy that are sent to hr@sunbit.com directly, and your email about your application will be deleted from our systems.