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Credit Risk Data Science Jobs in Elgin, OK (NOW HIRING)

US Navy

Bomb Technician (EOD)

Snyder, OK

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

US Navy

Bomb Technician (EOD)

Sterling, OK

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

US Navy

Bomb Technician (EOD)

Ninnekah, OK

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

US Navy

Bomb Technician (EOD)

Elgin, OK

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Elgin, OK

Credit Risk Data Science information

See Elgin, OK salary details

$33.6K

$103.3K

$179.2K

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

As of Aug 7, 2026, the average yearly pay for credit risk data science in Elgin, OK is $103,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,900.00 and $127,500.00 per year, depending on experience, location, and employer.

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 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.
What job categories do people searching Credit Risk Data Science jobs in Elgin, OK look for? The top searched job categories for Credit Risk Data Science jobs in Elgin, OK are:
What cities near Elgin, OK are hiring for Credit Risk Data Science jobs? Cities near Elgin, OK with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you

Meet Freddie Mac's University Program: Learn about our 2027 Internship and Full-Time Opportunities

Freddie Mac

Lawton, OK

$11.75 - $15.75/hr

Full-time, Internship

Re-posted 13 days ago

Freddie Mac rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Freddie Mac is where ambitious possibility-makers are shaping the U.S. housing industry.

Are you an undergraduate or graduate student looking to kickstart your career? Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics, Economics, Finance, Risk Management, Technology (including Cyber and Software Development) and more.

Join us to hear directly from our University Talent Advisors about:

-Who we are and how we serve our mission

-Workplace, culture and life at Freddie Mac

-Our intern and analyst/full-time programs

-Comprehensive rewards including compensation and benefits

-Our recruitment process and timelines

If you’d like to learn more about us, feel free to browse our blogs and student opportunities here.

What Freddie Mac employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970

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