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

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... CorVel Careers | Opportunities in Risk Management In general, our opportunities will be posted for ...

US Bank

Impact Finance Officer

Los Angeles, CA · On-site

... risk processes and governance programs, and credit data at U.S. Bank, or another mid-sized or large banking institution - Considerable understanding of the business line's operations, products ...

Hyundai Capital

Risk Analytics Manager

Irvine, CA · On-site

... data impacting credit risk, including but not limited to, information regarding economic trends ... Science or related quantitative experience. Demonstrate strong business acumen, technical skills ...

Hyundai Capital

Risk Analytics Manager

Irvine, CA · On-site

$100K - $155K/yr

... data impacting credit risk, including but not limited to, information regarding economic trends ... Science or related quantitative experience. • Demonstrate strong business acumen, technical ...

Hyundai Capital

Sr. Quantitative Modeler

Irvine, CA · On-site

$200K - $320K/yr

... risk, credit bureau data, regulatory requirements, market trends including 5 years within the financial and auto industry. * Master's degree in a quantitative field such as Statistics, Data Science ...

Hyundai Capital

Sr. Quantitative Modeler

Irvine, CA · Hybrid

... risk, credit bureau data, regulatory requirements, market trends including 5 years within the financial and auto industry. * Master's degree in a quantitative field such as Statistics, Data Science ...

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Showing results 21-40

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

Credit Risk Data Science information

See Brea, CA salary details

$38.3K

$118K

$204.6K

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

As of Aug 11, 2026, the average yearly pay for credit risk data science in Brea, CA is $117,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $145,500.00 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 Brea, CA look for? The top searched job categories for Credit Risk Data Science jobs in Brea, CA are:
What cities near Brea, CA are hiring for Credit Risk Data Science jobs? Cities near Brea, 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 Brea, CA as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, and 30% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,964 per year, or $56.7 per hour.

Data Science Manager

Southern California Edison (SCE)

Pomona, CA • On-site

$161K - $242K/yr

Full-time

Posted 7 days ago

Job description

Join the Clean Energy Revolution
Become a Data Science Manager at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll lead a team of data scientists in developing and deploying innovative asset risk models that inform strategic decision-making and support regulatory filings. As a trusted technical leader, you will partner with engineers, strategy owners, IT, risk management, and regulatory teams to translate complex business needs into scalable solutions that help reduce wildfire, safety, and reliability risks. Your contributions will advance key company initiatives and help shape the future of data-driven risk management at SCE.
As a Data Science Manager, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?
Responsibilities
  • Manages and mentors a team of data scientists and analysts working on proactive and predictive analytics projects, developing team skills and fostering a collaborative, innovative environment.
  • Leads the delivery of multiple analytics projects, ensuring they meet business objectives, timelines, and stakeholder expectations.
  • Oversees the development and implementation of predictive models and Gen AI solutions to proactively address customer service issues and operational inefficiencies.
  • Serves as a strategic partner to business units, IT, and automation teams to translate complex data insights into actionable, customer-facing solutions.
  • Monitors processes for model performance and operational outcomes, using data-driven feedback loops to refine strategies and improve business processes.
  • Stays current on industry trends and AI advancements to bring innovative practices into analytics and automation efforts.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications
  • Five or more years of experience supervising a team of direct reports and/or project management. Experience leading a technical/analytical team.

Preferred Qualifications
  • Master's degree or Ph.D. in data science, computer science, statistics, engineering, or a related STEM field.
  • Five or more years of hands-on data science experience spanning the full solution lifecycle, including ETL processes, feature engineering, model development and validation, and the translation of analytical results into actionable business insights.
  • Strong knowledge of machine learning, artificial intelligence, and mathematics, with the technical depth to guide solution design and development.
  • Demonstrated ability to solve complex problems and identify opportunities where data science and AI can create business value.
  • Strategic thinker who aligns innovative solutions with key company initiatives and long-term business priorities.
  • Strong written and verbal communication skills, with the ability to present complex technical information clearly and concisely to executives, stakeholders, and nontechnical audiences.
  • Demonstrated success in leading and developing teams, managing competing priorities, and delivering results in a fast-paced environment.

Additional Information
  • This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • The primary work location for this position is Pomona, CA. However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location).
  • Relocation may apply to this position.

About Southern California Edison
The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.
Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.
We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

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