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Credit Risk Data Science Jobs in Utah (NOW HIRING)

Bachelor's degree in Finance, Economics, Statistics, Data Science, or related field. * 4+ years of experience in credit risk, portfolio analytics, or quantitative analysis within financial services.

Bachelor's degree in Finance, Economics, Statistics, Data Science, Mathematics, Business, or a related field. * 1+ years of experience in financial analysis, credit analysis, risk management ...

Data Science

Provo, UT · On-site

$110K - $130K/yr

You'll be the first dedicated data scientist on Discovery. You'll own the analytical foundation ... churn risk. Surface the insights that change how the product team thinks about the problem.

We're embedded throughout the credit card ecosystem as a lender, servicer, and merchant acquirer ... Sitting at the intersection of analytics, risk, strategy, technology, and market intelligence, this ...

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Credit Risk Data Science information

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 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 Manager

First Electronic Bank

Salt Lake City, UT • On-site

Full-time

Posted yesterday

New


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 Credit Risk Manager serves as the primary credit risk subject matter expert for assigned Strategic Partner programs. This role maintains a deep understanding of partner underwriting frameworks, customer application processes, credit decisioning methodologies, testing strategies, and portfolio performance drivers. The position is responsible for evaluating underwriting effectiveness, monitoring portfolio performance, and assessing the impact of proposed credit strategy changes on risk and expected outcomes.


Working closely with Strategic Partner Managers, Compliance, Legal, Model Risk Management, and other key stakeholders, the Credit Risk Manager provides independent oversight and effective challenge of partner credit programs. The role reviews and approves credit strategy changes through the Bank's governance framework, ensuring underwriting practices remain aligned with FEB Credit Policy, approved risk tolerances, and overall risk management objectives.


What You'll Do:

  • Serve as the primary Credit Administration subject matter expert for assigned Strategic Partner underwriting programs and related credit strategies.
  • Maintain a comprehensive understanding of assigned Strategic Partner credit programs, including customer application flows, underwriting methodologies, credit decisioning strategies, policy rules, testing frameworks, portfolio performance drivers, and key credit risk indicators.
  • Lead the Strategic Partner Credit Strategy Change Request process and associated recordkeeping for assigned programs.
  • Review, challenge, and approve proposed underwriting and credit strategy changes by assessing their potential impact on portfolio performance, credit risk, customer outcomes, approval rates, loss performance, and alignment with approved risk tolerances.
  • Evaluate underwriting methodologies, decision strategies, policy rules, testing results, and portfolio performance outcomes to ensure credit programs operate as expected and remain aligned with the FEB Credit Policy, approved risk tolerances, and risk management expectations.
  • Participate in due diligence initiatives for new products launched in partnership with Strategic Partners, with a particular emphasis on enabling the development of credit programs and the origination of financial receivables.
  • Perform Credit Policy adherence testing and prepare related reporting for management and governance committees.
  • Monitor for credit policy gaps and collaborate with Strategic Partner teams to ensure timely remediation of identified policy adherence issues.
  • Review static pool analyses, portfolio performance reporting, and key credit risk metrics to evaluate how underwriting strategies, decisioning methodologies, testing initiatives, and credit policy changes influence portfolio performance, customer outcomes, and overall credit risk, and to assess whether results align with expected outcomes.
  • Collaborate with internal stakeholders, including but not limited to, Strategic Partner Managers, Compliance, Legal, and Model Risk Management, to ensure effective oversight of assigned credit programs.
  • Collaborate with internal stakeholders to ensure shared deadlines and Service Level Agreements (SLAs) are met.
  • Work with management to develop, enhance, and administer credit risk governance processes supporting Strategic Partner oversight and internal credit activities.
  • Participate in and provide information and documentation in support of internal audits, external audits, regulatory examinations, and independent reviews.
  • Prepare and present partner performance, underwriting strategy changes, credit strategy trends, and emerging credit risk matters to the Credit Committee and other governance committees, as appropriate.
  • Identify emerging credit risk issues and escalate material concerns to management and appropriate governance committees.
Requirements:

What We're Looking For:

  • Bachelor’s degree in finance, Business, Economics, Risk Management or a related field.
  • Minimum of 5 years of experience in banking, financial services, credit risk management, or a related field.
  • Strong analytical, problem-solving, credit analysis, and data interpretation skills.
  • Experience working with large datasets to analyze credit performance, underwriting outcomes, and credit risk trends.
  • Working knowledge of Power BI, SQL, Excel, or similar data analysis and reporting tools.
  • Ability to independently extract, validate, analyze, and interpret data to identify emerging risks, performance trends, and actionable insights.
  • Strong understanding of underwriting concepts, credit decisioning methodologies, credit policies, and risk-based lending strategies.
  • Experience evaluating underwriting performance through testing frameworks such as A/B testing, champion/challenger testing, segmentation analysis, or similar strategy validation techniques.
  • Experience with credit origination strategies and portfolio performance monitoring.
  • Ability to understand and clearly communicate complex credit strategies and concepts to both credit and non-credit stakeholders.
  • Self-motivated and capable of exercising sound judgment, making risk-based decisions, and identifying when issues require escalation in complex or nuanced situations.
  • Ability to work effectively in a cross-functional, collaborative environment.
  • Strong organizational skills with the ability to manage multiple priorities and meet deadlines.
  • Demonstrated ability to work independently with minimal supervision and drive assignments to completion in a deadline-driven environment.
  • Experience preparing materials for management committees, audits, examinations, or risk governance activities preferred.
  • Experience working with fintech partners, third-party credit programs, or Banking-as-a-Service (BaaS) environments preferred.