ZipRecruiter

Log In

1

Credit Risk Data Science Jobs in California (NOW HIRING)

SoFi

Credit Strategy - Risk Lead

San Francisco, CA · On-site

... data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company's risk appetite and helps create the products and experiences that ...

SoFi

Senior Credit Manager

San Francisco, CA · On-site

What you'll need: * 7+ years of unsecured credit risk and data science experience * Business acumen and work experience in the consumer lending business (loans or credit cards) * Direct experience in ...

SoFi

Senior Credit Manager

San Francisco, CA · On-site

What you'll need: * 7+ years of unsecured credit risk and data science experience * Business acumen and work experience in the consumer lending business (loans or credit cards) * Direct experience in ...

Calpine

Credit Risk Analyst

San Diego, CA · On-site

$70K - $88K/yr

Performs detailed credit risk analysis, including analysis of financial data and ratios, to qualify new and existing counterparties that meet established timelines and support ongoing sales ...

Calpine

Credit Risk Analyst

San Diego, CA

$70K - $88K/yr

Performs detailed credit risk analysis, including analysis of financial data and ratios, to qualify new and existing counterparties that meet established timelines and support ongoing sales ...

next page

Showing results 1-20

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in California

Credit Risk Data Science information

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

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.
What are popular job titles related to Credit Risk Data Science jobs in California? For Credit Risk Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in California look for? The top searched job categories for Credit Risk Data Science jobs in California are:
What cities in California are hiring for Credit Risk Data Science jobs? Cities in California with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in California as of June 2026, with employment types broken down into 25% Full Time, 25% Part Time, 25% Temporary, and 25% Contract. Highlights an 50% In-person, and 50% Hybrid job distribution.
Credit Strategy - Risk Lead

Credit Strategy - Risk Lead

SoFi

San Francisco, CA • On-site

Full-time

Posted 10 days ago

Job description

Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we're changing the way people think about and interact with personal finance.
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
SoFi's Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company's risk appetite and helps create the products and experiences that put our members' interests first.
The Credit Strategy Lead will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card.
The Credit Strategy Lead will collaborate with cross-functional teams such as Business Units, Capital Markets, Product and Engineering, and use business knowledge and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers.
The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical analysis tools to inform decisions and support SoFi's overarching strategic goals relative to loss prevention and profit optimization. They bring new ways of thinking, data sources, technologies, and capabilities to SoFi.
What you'll do:
  • Innovate... Bring your brightest ideas to building risk strategies. This means you will architect the pre-screen and underwriting strategies.
  • Data Driven... Your deep analysis will power the future of lending with an optimal real-time data ecosystem - including multi-product internal, bureau, third-party, and alternative data sources and uses.
  • Iterate, learn, innovate... We are all responsible for innovation and must embrace data-driven decisions.
  • Control the Risk and Drive Performance Outcomes ... Understand credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor the performance of strategies and portfolios. Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions.
  • Grow, Grow, Grow!... Be inspired by dynamic leaders and our rapidly growing business. We want YOU to be an inspired leader of tomorrow, so we are recruiting the best, brightest, and passionately quantitative team members.

What you'll need:
  • 4+ years of related experience
  • Business acumen and work experience in the consumer lending business (loans or credit cards)
  • Direct experience in the credit strategy analytical life cycle, including strategy and decision tree development, presentation, implementation validation, and post-implementation monitoring
  • Proven analytical skills in conducting sophisticated analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems
  • Proficient skills in Excel, SQL and Python
  • A demonstrated ability to synthesize and communicate analysis to business partners and senior management
  • High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment
  • Knowledge/skills in analytical and modeling techniques such as Decision Trees, regression, logistic regression, A/B Testing, and Tableau
  • Preferred: 4+ years of consumer lending credit strategy work experience
  • Preferred: Experience in analyzing and testing credit strategies or models to meet the fair lending requirements
  • Preferred: Advanced degree (Master's or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science

Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Apply