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Credit Risk Data Science Jobs in Utah (NOW HIRING)

Clicklease

Senior Risk Analyst

Draper, UT · On-site

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.

UnitedHealth Group

Credit Risk Analyst

Draper, UT

Support senior leadership in partnering with broader business units to assess data availability ... Credit risk experience in a consumer or healthcare financing, fintech, bank or other financial ...

UnitedHealth Group

Credit Risk Analyst

Draper, UT · On-site

Support senior leadership in partnering with broader business units to assess data availability ... Credit risk experience in a consumer or healthcare financing, fintech, bank or other financial ...

Clicklease

Risk Analyst

Draper, UT · On-site

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 ...

Clicklease

Vice President of Risk

West Valley City, UT · On-site

... Science and Engineering * Own portfolio governance, including vintage performance, delinquency ... Analyze and interpret complex financial and credit data to inform strategic decisions and risk ...

MasterCard

Lead Data Scientist

Holladay, UT · On-site +1

... and credit risk modeling is a plus. - A strong understanding of NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods. - Gain insights from text, including non ...

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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
Senior Risk Analyst

Senior Risk Analyst

Clicklease

Draper, UT • On-site

Full-time

Posted 16 days ago

Job description

Established in 2018, Clicklease is dedicated to empowering small business owners frequently overlooked by traditional lenders. Our headquarters are located in the vibrant city of Draper, UT, with operations extending to Radial, Alajuela, Costa Rica. We've cultivated a dynamic environment where equipment financing goes beyond being a mere service; it acts as the gateway to realizing entrepreneurial dreams.
Our Core Values:
1. We Are A Happy Company:
At Clicklease, happiness is not just a byproduct; it's a fundamental value. Join a workplace where positivity and joy are cultivated, creating an environment where you can bring your best self to work every day.
2. We Celebrate Collective Intelligence:
We thrive on the brilliance of collaboration. Clicklease is a space where diverse minds come together, combining their intelligence to create solutions that matter. Your ideas are not just heard; they're celebrated.
3. We Practice Empathy:
Empathy isn't just a word in our dictionary; it's a daily practice. Join a team that values understanding and compassion. At Clicklease, we recognize the human side of business and foster a culture where empathy is a guiding principle.
4. We Listen & Learn:
Growth is a continuous journey at Clicklease. We believe in listening and learning from one another. Your insights and experiences contribute to our collective knowledge, making us stronger as a team.
Our Mission:
At Clicklease, we have a clear purpose - to fulfill the capital needs of underserved entrepreneurs and their Main Street Businesses. We achieve this mission through simple, fast, and innovative equipment leasing solutions. This is not just a statement; it's the driving force behind everything we do.
About the role
At Clicklease, we're passionate about helping small businesses access the equipment financing they need to grow and succeed. As a Risk Analyst, you'll support data-driven decision-making by analyzing portfolio performance, identifying trends, and helping monitor credit risk across our lease portfolio. Working closely with teams across Risk, Finance, Data Science, Product, and Operations, you'll gain hands-on experience with financial analytics, reporting, and risk management while contributing to meaningful business outcomes. This is an excellent opportunity for someone early in their career who is curious, analytical, and eager to develop expertise in fintech, lending, and portfolio analytics.
Senior Risk Analyst
What you'll be doing:
  • Independently monitor and manage diverse lease portfolios, owning risk assessment and mitigation for assigned segments.
  • Design and produce portfolio performance reporting and key metrics for executive leadership and board members.
  • Lead data-driven analyses to optimize lease portfolio performance and surface actionable recommendations.
  • Build, validate, and maintain credit risk models and analytical tooling with minimal oversight.
  • Identify, assess, and manage emerging risks, proactively escalating issues with proposed solutions.
  • Conduct regular portfolio reviews and deep-dive analyses to assess risk exposure and portfolio quality.
  • Partner cross-functionally to translate analytical findings into business and policy decisions.
  • Mentor junior analysts and serve as a subject-matter resource on credit risk methodology.
  • Stay ahead of industry trends and regulatory developments to ensure compliance with applicable laws and regulations.

What you have:
  • 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.
  • Proficiency in credit risk modeling techniques and statistical analysis tools (e.g., SQL, Python, or R).
  • Solid understanding of regulatory requirements related to credit risk management.
  • Proven ability to own projects end-to-end and deliver results independently.
  • Strong communication skills, with the ability to present findings to senior stakeholders.

What will make you stand out:
  • Master's degree in Finance, Economics, Statistics, Data Science, or related field.
  • Professional certifications such as Certified Credit Risk Analyst (CCRA) or Chartered Risk Analyst (CRA).
  • Hands-on experience with advanced techniques such as stress testing and scenario analysis.
  • Experience building production-grade models or analytical pipelines.
  • Knowledge of emerging technologies and best practices in credit risk management.

Clicklease only accepts resumes submitted in English

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