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Credit Risk Data Science Jobs in California (NOW HIRING)

G2 Risk Solutions

Senior Product Manager

Burlingame, CA · On-site

$142.80K - $188.60K/yr

As a key product leader, you will collaborate closely with Engineering, Data Science, Sales, and ... Strong understanding of bankruptcy risk, credit risk, fraud, or related financial risk domains ...

G2 Risk Solutions

Senior Product Manager

Burlingame, CA

$142.80K - $188.60K/yr

As a key product leader, you will collaborate closely with Engineering, Data Science, Sales, and ... Strong understanding of bankruptcy risk, credit risk, fraud, or related financial risk domains ...

Roblox

Senior Risk Data Analyst

San Mateo, CA · On-site

$134.54K - $167.91K/yr

As a Senior Risk Data Analyst in our Payments organization, you will play a critical role in ... Collaborate with cross-functional teams, including engineering, product, and data science, to ...

Kikoff

Head of Data

San Francisco, CA · On-site

... data science roadmap across credit risk, growth, product analytics, and fraud • Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and governance • ...

Kikoff

Head of Data

San Francisco, CA · On-site

$398K - $486K/yr

Define and execute the data science roadmap across credit risk, growth, product analytics, and fraud * Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and ...

Uber

B2B Credit Risk Manager

San Francisco, CA · On-site +1

... data/reporting tools (e.g., Tableau)**Preferred Qualifications**- 10+ years of experience in credit risk, collections, or finance roles in B2B operations in International Corporations.- Credit Risk ...

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 ...

Mudflap

Senior Data Scientist

Palo Alto, CA · On-site

$185K - $215K/yr

What You'll Do Risk: Identify, model, and mitigate credit and fraud risks across our platform ... Drive strategic data science initiatives that directly impact business outcomes, working closely ...

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Credit Risk Data Science information

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.

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 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

Senior Product Manager

G2 Risk Solutions

Burlingame, CA • On-site

$142.80K - $188.60K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Company Description
G2 Risk Solutions has a large, valued, and diverse global client base and is the established leader in e-commerce merchant risk and compliance intelligence and services. Headquartered in Burlingame, California, USA, G2 Risk Solutions helps acquirers, ISOs, PSPs, e-com marketplaces, ad platforms, and other members of the payments value chain take on the appropriate level of risk in their merchant portfolios, while protecting against brand damage, illegal activity, and noncompliance assessments.
We have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.
Job Description
The Senior Product Manager for G2 Risk Solutions (G2RS) Bankruptcy Risk Solutions (BRS) will lead the execution of G2RS' BRS strategy and roadmap of the product portfolio across the Americas. This role is responsible for defining product vision, prioritizing customer and market needs, and delivering innovative solutions that drive adoption, performance, and growth.
As a key product leader, you will collaborate closely with Engineering, Data Science, Sales, and Operations to translate business requirements into actionable features and experiences. You'll partner with clients and internal stakeholders to gather insights, validate solutions, and ensure the BRS products remain best in market for bankruptcy prediction, monitoring, and risk management.
This role requires a proactive, strategic thinker who is comfortable owning a complex product suite end-to-end. You will apply strong analytical skills to evaluate performance, assess market trends, and inform prioritization. You'll also manage product development workflows, write clear user stories, and keep initiatives aligned across cross-functional teams.
Key Responsibilities
  • Own the execution of product strategy and roadmap for Bankruptcy Risk Solutions, ensuring alignment with company goals, market needs, and customer feedback.
  • Apply AI-first thinking both in product development and daily workflows, incorporating responsible AI capabilities into the BRS roadmap while using AI tools to accelerate research, requirements development, customer insights synthesis, and execution.
  • Define and prioritize features, writing clear requirements, user stories, and acceptance criteria for Engineering and Data Science partners.
  • Conduct market, competitive, and customer research to identify opportunities, validate product direction, and drive continuous innovation within the BRS portfolio.
  • Partner closely with Sales, Client Delivery, and Operations to gather insights, support go-to-market efforts and ensure product readiness for launch.
  • Collaborate cross-functionally to guide development, ensure delivery milestones are met, and remove roadblocks throughout the product lifecycle.
  • Monitor product performance, using analytical methods to evaluate KPIs, customer outcomes, and risk model effectiveness.
  • Leverage Jira to manage product backlogs, track development progress, and maintain clear communication with internal teams.
  • Engage directly with key customers to understand use cases, gather feedback, validate hypotheses, and ensure product-market fit.
  • Champion a data-driven approach to prioritization, experimentation, and product decisions.
  • Support commercialization by partnering with marketing and sales to create product messaging, collateral, training, and onboarding materials.

Qualifications
  • 5+ years of product management experience, ideally within risk, data, financial services, or enterprise SaaS.
  • Demonstrated success managing complex data-driven or analytical products, from concept through launch and iteration.
  • Strong understanding of bankruptcy risk, credit risk, fraud, or related financial risk domains (preferred).
  • Demonstrated ability to leverage AI tools in day-to-day product work (e.g., Copilot, generative AI assistants) and experience collaborating with Data Science to translate business problems into practical, ethical AI-enabled product solutions.
  • Proven ability to translate customer needs and business objectives into clear product requirements and actionable development plans.
  • Excellent collaboration skills and experience working with Engineering, Data Science, Operations, and GTM teams.
  • Strong analytical skills for modeling, KPI analysis, and trend evaluation.
  • Exceptional communication skills, with the ability to present complex concepts to both technical and non-technical audiences.
  • Comfortable engaging with customers and external stakeholders to gather insights, validate assumptions, and build strong relationships.
  • Bachelor's degree in business, analytics, computer science, or related field (MBA or advanced degree a plus).

Additional Information
This position is a fantastic opportunity to work for a fast-growing company. We offer a comprehensive benefits package including medical, dental, vision, LTD, Paid Time Off 401(k) and potential for annual bonus.
Compensation: base salary up to $160,000 USD
Why Join Us?
Be part of a team shaping the future of merchant lifecycle risk management. You'll work with cutting edge solutions, EverC's AI driven marketplace monitoring and G2RS's merchant risk suite helping clients reduce fraud, enforce compliance, and scale safely in the digital commerce ecosystem.
G2 Risk Solutions is an equal employment opportunity employer and strives to comply with all laws prohibiting discrimination based upon, as applicable, actual or perceived race, color, creed, religion (including religious dress, grooming practices and protective hairstyles), sex, sexual orientation, gender identity or gender expression, pregnancy, marital/domestic partner status, national origin, alienage or citizenship status, primary language, immigration status, military and veteran status (including whether honorably discharged or not), intern or volunteer status, status as a victim of domestic violence, sexual assault, or stalking, ancestry, age, physical or mental disability, AIDS, HIV and Hepatitis C status, medical condition, including cancer and genetic predisposition information or characteristics (or those of a family member), or any other category protected by federal, state or local laws.

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