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Credit Risk Analytics Manager Jobs in California

SoFi's Credit team manages credit risk activities for our lending products (Student Loan Refinance ... analysis to business partners and senior management * High motivation to drive results, eager to ...

Credit Policy Analyst

Vacaville, CA · On-site

$90K - $132K/yr

Collaborates with teams across finance, risk management, and operations to implement and enforce credit policies. * * Examples: Credit Risk assessment models, Policy updates, Portfolio Analysis ...

SoFi's Credit team manages credit risk activities for our lending products (Student Loan Refinance ... analysis to business partners and senior management * High motivation to drive results, eager to ...

The Senior Credit Manager 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 ...

The Senior Credit Manager 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 ...

Credit Manager

San Jose, CA · On-site

$120K - $142K/yr

... credit risk analysis, credit practices and procedures • 3+ years' experience building and ... managing high performance credit and collections teams • Excellent analytical and organizational ...

Sr. Credit Analyst

San Jose, CA · On-site

$98K - $109K/yr

The Sr. Credit Analyst job responsibilities will include, but not limited to: • Manage the customer credit risk assessment and assignment of credit terms and conditions, monitor credit exposure and ...

... credit risk analysis, credit practices and procedures • 3+ years' experience building and ... managing high performance credit and collections teams • Excellent analytical and organizational ...

... risk management with commercial objectives. * Evaluate customer and counterparty creditworthiness through financial statement analysis, credit assessments, and ongoing portfolio monitoring ...

... risk management with commercial objectives. * Evaluate customer and counterparty creditworthiness through financial statement analysis, credit assessments, and ongoing portfolio monitoring ...

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Credit Risk Analytics Manager information

See California salary details

$35.1K

$132.4K

$176.2K

How much do credit risk analytics manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for credit risk analytics manager in California is $132,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $160,700.00 per year, depending on experience, location, and employer.

How does a Credit Risk Analytics Manager typically collaborate with other departments to manage risk effectively?

A Credit Risk Analytics Manager works closely with various teams such as underwriting, finance, IT, and compliance to gather data, implement risk models, and ensure regulatory requirements are met. This collaboration often includes presenting analytical findings to senior management, advising on credit policy adjustments, and supporting product development with risk assessments. Effective communication and teamwork are essential, as the manager translates complex data insights into actionable strategies that align with business goals. Cross-functional collaboration also helps identify potential risks early and ensures the company’s credit strategies are robust and up-to-date.

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

To thrive as a Credit Risk Analytics Manager, you need a strong background in quantitative analysis, risk assessment, and finance, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in statistical software (such as SAS, R, or Python), data visualization tools, and familiarity with regulatory frameworks like Basel III are essential. Strong problem-solving, communication, and leadership skills help you effectively interpret complex data and guide cross-functional teams. These capabilities are crucial to accurately assess credit risk, inform business decisions, and ensure compliance with industry regulations.

What does a Credit Risk Analytics Manager do?

A Credit Risk Analytics Manager is responsible for analyzing and managing the credit risk exposure of a financial institution or organization. They develop and implement risk assessment models, analyze large sets of financial data, and create strategies to minimize potential losses from credit defaults. Their work involves collaborating with other departments, such as lending, underwriting, and compliance, to ensure that the company's credit policies are effective and aligned with regulatory requirements. Additionally, they report on risk trends and provide insights to support business decision-making.
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Credit Strategy - Risk Lead

Credit Strategy - Risk Lead

SoFi

San Francisco, CA

Other

Posted 7 days ago


Job description

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