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

As of May 30, 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.

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.

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 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
Tenure Track Assistant Professor of Computer Science and Information Technology

Tenure Track Assistant Professor of Computer Science and Information Technology

Cameron University

Lawton, OK • On-site

$65K/yr

Full-time

Posted 26 days ago

Cameron University rating

6.6

Company rating: 6.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

422nd of 529 rated colleges and universities

Job description

Job Description
Tenure Track Assistant Professor of Computer Science and Information Technology (F1276S)
The Department of Computing and Mathematical Sciences invites applications for a tenure-track position at the rank of Assistant Professor for AY 2026-2027. The department offers Certificate in Cyber Security, AAS and BS in Information Technology (IT), BS in Computer Science (CS), and BA in Mathematics degrees. The teaching load for this position will be 24 undergraduate hours per academic year of Computer Science (CS), Information Technology (IT), Management Information Systems (MIS) and Cybersecurity courses. This position will begin in August 2026 and is a full-time, ten-month faculty position.
MINIMUM QUALIFICATIONS:
Candidates applying for this position must have a PhD in Computer Science, Information Technology, or a closely related field. Applicants who are doctoral degree candidates may be considered for this position, but if hired and the degree has not been earned by the start of the employment period the initial appointment will be made at the rank (and salary) of Instructor and will only be converted upon documented completion of the degree, in accord with the conditions specified in the offer letter.
PREFERRED QUALIFICATIONS:
• Preference will be given to candidates with expertise in emerging and growing computing areas, such as Artificial Intelligence and Machine Learning, Data Science and Analytics, and Cloud Computing.
• Demonstrated experience teaching at the college level.
• Demonstrated commitment to excellence in undergraduate teaching to 1st generation and non-traditional students at college level.
• Ability to work collegially in a team environment.
RESPONSIBILITIES
Standard teaching load of 24 credit hours per year of undergraduate courses in Computer Science, Information Technology, Cybersecurity, and Management Information Systems. Candidates should be able to teach in a variety of formats, such as Traditional. Online, FLEX, Hybrid, ZOOM and ITV. Additional duties will include: active participation in service, scholarship, and required university, school, and department functions; mentoring undergraduate students in research; advising students; participating in program assessment; online course development; participating in recruiting and retention efforts; participating in departmental governance; and other duties as assigned and outlined in the Faculty Handbook.
SALARY RANGE:
$65,000.00 per academic year.
APPLICATION PROCEDURE:
Attachments should include a cover letter indicating experience applicable to position, resume, transcripts (unofficial are acceptable at this point), names, addresses, and telephone numbers of three professional references.
DEADLINE:
Applications will be accepted until the position is filled.
INSTITUTION:
Cameron University (www.cameron.edu) is a state-supported regional institution located in Lawton, Oklahoma, that offers undergraduate and graduate degrees. Dedicated to excellence, the university provides a wide range of economic, cultural, and educational opportunities for the betterment of all citizens. Master's-level graduate degrees are offered in business, behavioral sciences, and education; baccalaureate programs are offered in more than forty disciplines, and associate degrees are offered in many other studies. The close proximity of Fort Sill contributes to an area rich in cultural diversity and provides the opportunity for frequent cooperative efforts. The combined community of Lawton/Fort Sill has a population of more than 100,000 and is located adjacent to the picturesque Wichita Mountains Wildlife Refuge. A copy of the University's Annual Security Report, listing crime statistics and university policies, is available by contacting the Office of Public Safety or by accessing the report online at www.cameron.edu/ops.
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