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Credit Risk Data Science Jobs in Utah (NOW HIRING)

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 ...

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 ...

Steel Partners

FCC Risk Analyst

Salt Lake City, UT · On-site

The Bank provides capital in the form of asset-backed lending and other credit facilities to ... data science tools to support financial crimes compliance, risk management, and operational ...

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 ...

Snap Finance

Data Scientist III

West Valley City, UT · On-site

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit ... The ideal candidate understands how to apply the practices of data science to understand a problem ...

The David Movie

Data Scientist

Provo, UT · On-site

$110K - $130K/yr

This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics ... churn risk. Surface the insights that change how the product team thinks about the problem.

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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

Data Scientist

swirecc

Draper, UT • On-site

Other

Re-posted 19 days ago

Job description

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets and products. Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use Databricks to transform raw data into cognizable information. Use statistical analysis and advanced machine learning techniques to build descriptive, diagnostic and predictive models. Use ML Ops to deploy models. Use PowerBI for business reporting and dashboards to enable decision making. Evaluate implications of findings on business outcomes, and communicate and document work. Use Python and SQL to model real-world outcomes. Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI

Position requires a Master’s degree in Business Analytics or an equivalent field, and 2 years of experience as a  Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience with Databricks; experience with Supervised and Unsupervised Machine Learning; experience with SQL; experience with Python; experience with PySpark; experience with  Statistical Analysis; experience with Predictive Analysis; and experience with Agile Methodology. #LI-DNI 

Job location: Draper, UT.

Alternatively, please send your resume, cover letter, and a copy of the ad to: Amber Ivie, 12634 South 265 West, Draper, UT 84020.

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