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

Sunbit

Analytics Manager, Credit Cards

Los Angeles, CA · On-site +1

What you'll bring: * 6+ years of experience in Analytics, Data Science, Decision Science, Credit Risk, or a related quantitative function. * Must have 4+ years supporting Credit Card portfolios, with ...

US Bank

Credit Risk Analyst

Brea, CA · Hybrid

This role will perform data analyses and share results, using such tools as SAS, SQL, Toad, Python ... Risk competencies - Strong process facilitation and project management skills - Effective ...

Sunbit

Analytics Manager, Credit Cards

Los Angeles, CA · Remote

... Data Science, Decision Science, Credit Risk, or a related quantitative function. * Must have 4+ years supporting Credit Card portfolios, with deep experience in Credit Risk, Portfolio Management ...

SKIMS

Director, Treasury & Credit Risk

Los Angeles, CA · On-site

SKIMS is seeking a Director, Treasury to lead our global treasury and credit risk functions. This ... Ability to translate complex financial data into clear, actionable business strategies. * Excellent ...

Plat.AI

Front-Facing Data Analyst

Glendale, CA · On-site

Work alongside data scientists to interpret model outputs * Conduct A/B testing and performance ... Experience with underwriting analytics or credit risk modeling * Familiarity with interpretable ML ...

TriSearch

Assistant Credit Manager

Los Angeles, CA · Hybrid

$68K - $113K/yr

... for raw data manipulation. Core Responsibilities * Credit Risk Assessment: Evaluate customer financial statements, payment histories, trade references, and D&B reports to set/adjust appropriate ...

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Credit Risk Data Science information

See Glendale, CA salary details

$39.2K

$120.6K

$209.2K

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

As of Sep 4, 2026, the average yearly pay for credit risk data science in Glendale, CA is $120,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $148,800.00 per year, depending on experience, location, and employer.

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.

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 cities near Glendale, CA are hiring for Credit Risk Data Science jobs?

Cities near Glendale, 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 Glendale, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,614 per year, or $58 per hour.

Senior Credit Reporting Analyst

City National Bank

Los Angeles, CA • On-site

$77K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

SENIOR CREDIT REPORTING ANALYST
WHAT IS THE OPPORTUNITY?
The Senior Credit Risk Reporting Analyst is a critical leadership role within the 2LOD Credit Risk Reporting and Transformation team, responsible for bridging business requirements with technical delivery across the modernization initiative. This role combines technical expertise with deep credit risk domain knowledge to ensure successful transformation of credit risk reporting across CNB, CUSO, and Enterprise entities.The position leads the development, production, and documentation of credit risk reports and regulatory submissions while serving as a subject matter expert for both banking operations and regulatory requirements. The analyst will translate complex business and regulatory requirements into actionable project deliverables, manage risks and issues, and ensure alignment with the unified reporting vision.
WHAT WILL YOU DO?
  • Lead development of unified credit risk reporting across CNB, CUSO, and Enterprise entities
  • Design standardized credit risk report templates and formats aligned with regulatory requirements
  • Produce monthly, quarterly, and ad-hoc credit risk reports for internal stakeholders and regulatory submissions
  • Manage report production timelines and delivery schedules; coordinate with data engineering and BI teams
  • Serve as Bank subject matter expert for credit risk and regulatory reporting requirements
  • Communicate with Credit Risk leadership on reporting capabilities, timelines, and program progress
  • Prepare executive summaries and communications for steering committees and leadership reviews
  • Identify opportunities for reporting enhancements and efficiency improvements
  • Analyze credit risk data trends to support business decision-making
  • Recommend new metrics or analytical approaches to enhance credit risk visibility
  • Support ad-hoc analyses requested by credit leadership and regulatory teams

WHAT DO YOU NEED TO SUCCEED?
Required Qualifications*
  • Bachelor's Degree or equivalent
  • Master's degree (U.S. or foreign equivalent) in Mathematics, Statistics, Data Science, Analytics, Engineering with a focus on Mathematics and Statistics or a related field like Information Systems or Business Analytics accompanied with eight (8) years of experience in the position or a related role. Or
  • OR Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Statistics, Data Science, Analytics, Engineering with a focus on Mathematics and Statistics or a related field such as Information Systems or Business Analytics accompanied with ten (10) years of experience in the position or a related role.

Additional Qualifications
  • 7+ years of experience in credit risk reporting, credit analytics, or financial reporting roles
  • Proven experience developing and managing credit risk reports
  • Strong background in regulatory reporting
  • Stakeholder management and executive communication experience
  • Deep understanding of credit risk concepts (credit rating, probability of default, loss given default, exposure at default)
  • Knowledge of credit portfolio analysis and credit risk measurement
  • Knowledge of financial accounting and regulatory reporting principles
  • Understanding of risk management frameworks and governance
  • SQL Query Development: Write and optimize complex SQL queries for data extraction, transformation, and validation
  • Data Analysis & Manipulation. Extract, transform, and validate credit risk data. Perform data quality checks and reconciliation. Identify and resolve data discrepancies and anomalies
  • Experience with modern BI tools for report and dashboard development
  • Understanding of credit risk models and validation methodologies
  • Knowledge of credit loss provisioning (IFRS 9, ECL models)
  • Analyze credit portfolio composition and risk profile
  • Ability to influence and align diverse stakeholders (business, technical, regulatory)
  • Ability to break down complex problems and develop practical solutions
  • Ability to work in ambiguous, fast-changing transformation environment
  • Ability to manage complex, multi-workstream programs
  • Strong teamwork and cross-functional partnership
  • Some travel may be required

WHAT'S IN IT FOR YOU?
Compensation
Starting base salary: $77,000 - $143,000 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.
Benefits and Perks
At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including:
  • Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date
  • Generous 401(k) company matching contribution
  • Career Development through Tuition Reimbursement and other internal upskilling and training resources
  • Valued Time Away benefits including vacation, sick and volunteer time
  • Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs
  • Career Mobility support from a dedicated recruitment team
  • Colleague Resource Groups to support networking and community engagement

Get a more detailed look at our Benefits and Perks.
ABOUT US
Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us.
INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT
City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
*Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. careers.cnb.com accepts applications on an ongoing basis, until filled.
Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.

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