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Credit Risk Data Science Jobs in Pleasanton, CA (NOW HIRING)

Intuit

Manager 3, Credit Risk

Mountain View, CA · On-site

Partner with Data Science to prioritize and shape credit models and decision systems * Translate ... Act as the primary risk partner to Product, Capital Markets, Finance, and Operations * Influence ...

Intuit

Manager 3, Credit Risk

Mountain View, CA

Partner with Data Science to prioritize and shape credit models and decision systems * Translate ... Act as the primary risk partner to Product, Capital Markets, Finance, and Operations * Influence ...

Intuit

Manager 3, Credit Risk

Mountain View, CA

Partner with Data Science to prioritize and shape credit models and decision systems * Translate ... Act as the primary risk partner to Product, Capital Markets, Finance, and Operations * Influence ...

Apple

WPC Apple Card Data Scientist

Cupertino, CA · On-site

You should have experience and subject matter expertise in financial modeling, payments, banking, credit, risk operations, data science, and finance. Previous experience working in the credit card ...

Visa

Director, VCA NA Risk Practice

Foster City, CA

This role requires deep expertise in credit risk frameworks, and data analytics, with a strong ... Partner closely with data science teams to deploy and interpret predictive models, model forecasts ...

Apple

WPC Apple Card Data Scientist

Cupertino, CA

$175K - $311K/yr

You should have experience and subject matter expertise in financial modeling, payments, banking, credit, risk operations, data science, and finance. Previous experience working in the credit card ...

Mudflap

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

... mitigate credit and fraud risk across our platform. You'll lead the development of underwriting ... Drive strategic data science initiatives that directly impact business outcomes, working closely ...

Intuit

Manager 2, Fraud and Risk

Oakland, CA · On-site

... credit cards. In this role, you'll own the strategy and execution of fraud risk policies that ... You'll partner closely with product, engineering, data science, and legal teams to build scalable ...

Intuit

Manager 2, Fraud and Risk

Mountain View, CA · On-site

... credit cards. In this role, you'll own the strategy and execution of fraud risk policies that ... You'll partner closely with product, engineering, data science, and legal teams to build scalable ...

Canadian Solar

Credit Controller

Walnut Creek, CA

Key Responsibilities Credit Risk & Portfolio Management * Lead the Company's credit risk and ... data analytics, and scalable business practices. * Foster collaborative relationships across ...

Canadian Solar

Credit Controller

Walnut Creek, CA · On-site

Key Responsibilities Credit Risk & Portfolio Management * Lead the Company's credit risk and ... data analytics, and scalable business practices. * Foster collaborative relationships across ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Pleasanton, CA

Credit Risk Data Science information

See Pleasanton, CA salary details

$41.2K

$126.7K

$219.8K

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

As of Jul 28, 2026, the average yearly pay for credit risk data science in Pleasanton, CA is $126,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $156,400.00 per year, depending on experience, location, and employer.

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 Pleasanton, CA? For Credit Risk Data Science jobs in Pleasanton, CA, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Pleasanton, CA look for? The top searched job categories for Credit Risk Data Science jobs in Pleasanton, CA are:
What cities near Pleasanton, CA are hiring for Credit Risk Data Science jobs? Cities near Pleasanton, CA 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 Pleasanton, CA as of July 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $126,738 per year, or $60.9 per hour.
Manager 3, Credit Risk

Manager 3, Credit Risk

Intuit

Mountain View, CA • On-site

Full-time

Posted 13 days ago

Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

87th of 245 rated software companies

Job description

As a premier and rapidly expanding provider of small business financing within the United States, QuickBooks Capital operates as a financial technology innovator under Intuit, committed to transforming the landscape of small business lending. Our primary product offerings include term loans and lines of credit, both of which are developed and evolved with a steadfast commitment to customer-centricity. We are building a world-class team of problem-solvers and visionary thinkers who thrive on cross-functional collaboration and high-stakes challenges. The small business lending sector has been experiencing rapid evolution with the emergence of sophisticated alternative data and methodologies. We are seeking a visionary credit leader to lead a multi-billion dollar lending function, an individual who integrates a disciplined risk management foundation with an innovation-first mindset. If you are a professional dedicated to driving sustainable growth and continuous evolution within a highly dynamic, pioneering, and collaborative professional environment, we would like to hear from you.
Responsibilities
The role as QuickBooks Capital credit risk manager will own the responsibilities including:
Portfolio Ownership & Strategy
  • Oversee the overall credit risk strategy development for QB Capital Direct Lending products.
  • Define risk appetite, portfolio guardrails, and return thresholds aligned with business objectives
  • Drive portfolio growth while maintaining disciplined risk management and strong unit economics
  • Anticipate macroeconomic and market-driven risks; adapt strategy proactively

Credit Strategy & Decisioning
  • Lead the design and evolution of underwriting strategies, segmentation, and pricing frameworks
  • Oversee credit policy, approval strategies, and line assignment methodologies
  • Guide test-and-learn experimentation to continuously optimize risk vs. growth tradeoffs
  • Ensure scalable, automated decisioning aligned with long-term platform goals

Analytics, Modeling & Insights
  • Set the vision for portfolio analytics, including vintage performance, lifetime value, and risk-adjusted returns
  • Partner with Data Science to prioritize and shape credit models and decision systems
  • Translate data into clear, strategic recommendations for executive stakeholders
  • Establish KPIs and reporting frameworks that drive accountability and transparency

Cross-Functional Leadership
  • Act as the primary risk partner to Product, Capital Markets, Finance, and Operations
  • Influence product roadmap decisions to embed risk-aware design and customer segmentation
  • Support capital strategy, including investor discussions, forward flow agreements, and funding optimization
  • Align stakeholders on tradeoffs between growth, customer experience, and credit risk

Team Leadership & Capability Building
  • Lead and mentor a team of credit risk analysts and managers (or build the team as the portfolio scales)
  • Establish best practices in credit risk management, experimentation, and governance
  • Foster a culture of data-driven decision-making and continuous improvement

Governance & Regulatory Oversight
  • Ensure robust risk governance, including policy frameworks, model validation, and audit readiness
  • Interface with internal risk, compliance, and legal teams to meet regulatory expectations
  • Present portfolio performance, risks, and strategies to senior leadership and risk committees

Qualifications
Basic Qualifications
  • Advanced degree (MS/PhD) in a quantitative field such as Statistics, Economics, Operations Research, Engineering, or a related discipline
  • 15+ years of experience in credit risk within lending, fintech, or financial services, with significant ownership of portfolio performance
  • 8+ years of people leadership experience, including building, managing, and developing high-performing teams of risk analysts and/or data scientists
  • Proven track record owning credit strategy for large-scale lending portfolios (preferably $2B+), with demonstrated impact on growth, loss performance, and profitability
  • Deep expertise in underwriting, credit policy design, and end-to-end portfolio risk management across the customer lifecycle
  • Strong analytical and technical skills, including hands-on experience with SQL and data-driven decisioning; ability to work closely with data science on models and experimentation
  • Demonstrated ability to define risk appetite, translate business goals into actionable credit strategies, and execute through cross-functional teams
  • Strong business acumen with experience balancing risk, growth, and customer experience in a dynamic environment
  • Excellent communication skills, with the ability to synthesize complex quantitative insights into clear, actionable recommendations for executive stakeholders
  • Proven ability to operate with high ownership, navigate ambiguity, and lead large, cross-functional initiatives end-to-end

Preferred Qualifications
  • Experience in small business lending, merchant financing, cash flow underwriting or embedded finance ecosystems
  • Familiarity with alternative data underwriting (e.g., cash flow, transaction data) and modern fintech credit approaches
  • Direct experience developing, deploying, or overseeing credit risk models and decision engines in production environments
  • Experience partnering with Capital Markets teams, including exposure to funding strategies, forward flow agreements, or investor reporting
  • Strong understanding of regulatory expectations, model governance, and risk controls in a lending environment
  • Prior experience in a high-growth or platform-based business, with a track record of scaling risk infrastructure alongside product growth

What You'll Bring
  • Strategic ownership mindset with the ability to operate at both high-level and deep-dive detail
  • Strong business judgment and ability to balance growth, risk, and customer impact
  • Comfort navigating ambiguity and shaping new products or portfolios from early stages
  • Executive-level communication and storytelling with data

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $233,500 - $316,000

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