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Credit Risk Data Science Jobs in Utah (NOW HIRING)

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

The ideal candidate has strong analytical skills, attention to detail, and a desire to grow within credit risk and financial modeling. What You'll Do: * CECL Data & Modeling Support * Assist with ...

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

The ideal candidate has strong analytical skills, attention to detail, and a desire to grow within credit risk and financial modeling. What You'll Do: * CECL Data & Modeling Support * Assist with ...

Snap Finance

Data Scientist

West Valley City, UT · On-site

Snap Finance is a company that believes in providing access to financing solutions regardless of credit history. They are seeking a dedicated Data Scientist III to strengthen their analytics ...

New

MasterCard

Senior Data Scientist

Holladay, UT · On-site

Role As an individual contributor working within a growing data science team, you will take ... Focused in the first instance on affordability/credit decisioning and identity/income verification ...

swirecc

Data Scientist

Draper, UT

... science and advanced analytics for large manufacturing and retail company. Employ Artificial ... Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use ...

swirecc

Data Scientist

Draper, UT

... science and advanced analytics for large manufacturing and retail company. Employ Artificial ... Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use ...

swirecc

Data Scientist

Draper, UT · On-site

... science and advanced analytics for large manufacturing and retail company. Employ Artificial ... Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use ...

Swire Coca-Cola, USA

Data Scientist

Draper, UT · On-site

... science and advanced analytics for large manufacturing and retail company. Employ Artificial ... Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use ...

Brex

Director, Collections

Salt Lake City, UT · Hybrid

$176K - $220K/yr

Partner with Data Science and Engineering to build predictive risk models (e.g., propensity to pay ... Act as the feedback loop to the Underwriting and Credit Policy teams, identifying emerging risk ...

CCBank

Portfolio Manager I

Pleasant Grove, UT · On-site

Responsibilities: * Assist Loan Officers and Credit Risk Management with analyzing credit data and financial information of persons or companies. This includes gathering current and prospective ...

CCBank

Portfolio Manager I

Pleasant Grove, UT · On-site

Responsibilities: * Assist Loan Officers and Credit Risk Management with analyzing credit data and financial information of persons or companies. This includes gathering current and prospective ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Utah

Credit Risk Data Science information

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 Utah? For Credit Risk Data Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Utah look for? The top searched job categories for Credit Risk Data Science jobs in Utah are:
What cities in Utah are hiring for Credit Risk Data Science jobs? Cities in Utah with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
CECL Analyst

CECL Analyst

First Electronic Bank

Salt Lake City, UT • On-site

Full-time

Posted 12 days ago

Job description

Description:

At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB’s engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions.


The CECL Analyst supports the organization’s Current Expected Credit Losses (CECL) modeling, reporting, and analysis. This role assists in collecting, validating, and analyzing loan portfolio data to support allowance calculations, risk assessments, regulatory reporting, and management presentations. The ideal candidate has strong analytical skills, attention to detail, and a desire to grow within credit risk and financial modeling.


What You'll Do:

  • CECL Data & Modeling Support
  • Assist with preparing and validating monthly/quarterly CECL dataset inputs, ensuring accuracy and completeness.
  • Support the execution of CECL models, including probability of default (PD), loss given default (LGD), and prepayment models.
  • WARM methodology and Static Pool/Vintage Loss analysis.
  • Help maintain model documentation and version control.
  • Analysis & Reporting
  • Assist in generating CECL allowance calculations and variance analyses.
  • Prepare supporting schedules, workpapers, and dashboards for internal stakeholders and auditors.
  • Identify trends in portfolio performance, credit quality, and model outputs.
  • Controls, Compliance & Audit Support
  • Support internal and external audit requests related to CECL processes and controls.
  • Ensure CECL processes align with regulatory guidance and internal policies.
  • Contribute to the enhancement of data quality procedures and risk controls.
  • Cross-Functional Collaboration
  • Partner with Credit, Finance, Accounting, and Data teams to gather required inputs and clarify assumptions.
  • Support ad hoc analysis and special projects related to credit risk, loan portfolio performance, or regulatory changes.


Requirements:

What We're Looking For:

  • Degree in Finance, Economics, Accounting, Mathematics, Statistics, Data Analytics, or related field.
  • Strong analytical and quantitative skills.
  • Previous experience with vended software, like Moody’s Portfolio Analyzer or Impairment Studio preferred.
  • Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools.
  • Ability to work with large datasets and identify discrepancies.
  • Strong organizational skills and attention to detail.

Preferred Qualifications

  • 5+ years of experience in financial services, banking, credit risk, accounting, or data analytics.
  • Exposure to CECL methodology, ALLL, or other credit modeling frameworks.
  • Experience with loan servicing or core banking systems.
  • Understanding of credit risk metrics and loan portfolio structures.


Key Competencies

  • Analytical thinking
  • Problem-solving
  • Data accuracy and precision
  • Ability to manage multiple priorities
  • Strong communication skills
  • Initiative and willingness to learn complex financial concepts