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

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$38.6K

$118.8K

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

As of Aug 6, 2026, the average yearly pay for credit risk data science in Riverside, CA is $118,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,100.00 and $146,600.00 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 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.
What job categories do people searching Credit Risk Data Science jobs in Riverside, CA look for? The top searched job categories for Credit Risk Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Credit Risk Data Science jobs? Cities near Riverside, CA with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you

Sr. Risk Operation Analyst - Integrated Risk Management "IRM"

Hyundai Autoever America

Irvine, CA • On-site

Full-time

Re-posted 2 hours ago

Job description

Integrated Risk Management, Sr. Risk Operations Analyst
Location - Irvine, CA
Company Overview
Hyundai AutoEver America (HAEA), the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis.
HAEA offers a truly global and collaborative environment. Here, you'll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group.
At HAEA, we understand that IT is the cornerstone of today's fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai's Global Headquarters and North American operations.
If you're passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that's driving the future of automotive innovation.
What You Will Be Doing
The Risk Operations Senior Analyst plays a critical role within the Integrated Risk Management team, supporting the CISO organization by operating and continuously improving core technology risk processes. This role is responsible for maintaining the technology control library, policies, and standards, and for executing risk operations including Technology Risk Assessments, Risk Issue Management, and Risk Exception Management.
The role also owns risk data integrity and reporting, producing dashboards and insights that track remediation progress, risk posture, and control effectiveness across the organization.
This position requires a blend of risk expertise, operational rigor, stakeholder management, and strong analytical and reporting skills. The key responsibilities of this role are as described below:
Technology Control Framework & Documentation
  • Maintain and evolve the enterprise technology control library, ensuring alignment with internal policies, standards, and external frameworks (e.g., NIST CSF 2.0, ISO 27001, CIS).
  • Own the lifecycle management of technology risk policies and standards, including updates, reviews, approvals, and communications.
  • Ensure controls, policies, and standards are clearly mapped to regulatory, legal, and business requirements.

Risk Operations Execution
  • Run and continuously improve core Risk Operations processes, including:
    • Technology Risk Assessments (consistently assessing the inherent risk, control effectiveness within the environment )
    • Risk Issue Management (identification, validation, remediation tracking, closure)
    • Risk Exception Management (intake, assessment, approvals, renewals, expirations)
  • Ensure risk processes are executed consistently, on time, and in accordance with defined methodologies.
  • Act as a subject matter expert for risk process guidance to technology, security, and business teams.

Risk Tracking, Reporting & Dashboards
  • Design, build, and maintain risk dashboards and reporting that provide transparency into:
    • Open risk issues and remediation status
    • Exception volumes, aging, risk aggregation and trends
    • Risk assessment outcomes and key risk indicators (KRIs)
  • Translate risk data into meaningful insights for senior leadership, customers and risk committees.
  • Ensure accuracy, completeness, and audit-readiness of risk data across systems.

Stakeholder & Governance Engagement
  • Partner closely with Customers, Senior and Executive Leaders, Legal and other groups, to drive timely remediation and risk ownership.
  • Support internal and external audits, regulatory inquiries, and risk governance forums with clear documentation and reporting.

Process Improvement & Tooling
  • Identify opportunities to streamline and automate risk operations workflows.
  • Support enhancements to GRC and risk tooling, including requirements definition, testing, and adoption.
  • Contribute to the maturation of the Integrated Risk Management operating model.

Basic Qualifications:
  • Experience: 7+ years of experience in Technology Risk, Cyber Risk, GRC, or IT Risk Management. Hands-on experience running technology risk assessments, issue management, exception processes and maintaining control libraries, policies, and standards. Familiarity with GRC platforms.
  • Education: Bachelor's degree in Cybersecurity, Information Technology, Computer science or a related field.
  • Technical Expertise: Strong knowledge of technology control frameworks (e.g., NIST CSF/800-53, ISO 27001, CIS). Proven ability to create risk dashboards and executive-level reporting. Strong analytical, documentation, and process design skills
  • Language Skills: Excellent stakeholder management and communication skills. Proficient in English for effective communication and coordination.

Preferred Qualifications:
  • Experience: Team leadership experience working within a CISO organization or large enterprise technology environment. Implementation or maintenance experience with GRC platforms. 5+yrs experience in a top tier professional services firm, performing technology audit and/or risk management engagements.
  • Education and Certifications: Masters degree in Cybersecurity, Information Technology, Computer Science or a related discipline is preferred. Industry-recognized credentials such as CISSP, CISM, CRISC, or ISO 27001 Lead Implementer are highly desirable.
  • Language Skills: Bi-lingual in English and Korean language proficiency is preferred to support global coordination and communication.

Team Culture:
The team fosters a high-performance, collaborative environment centered around proactive technology risk management and excellent customer service. Members are expected to lead with accountability, communicate effectively across functions, and adapt to dynamic challenges. The culture values technical excellence, continuous improvement, and global coordination, ensuring technology risks are well managed.
Base Salary Range: $120,000 - $170,000
Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws. Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.

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