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

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

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

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

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

Participate in planning, design, execution, analysis of experiments and formal risk assessments to ... Strong fundamental scientific and engineering skills for the evaluation of experimental data

Participate in planning, design, execution, analysis of experiments and formal risk assessments to ... Strong fundamental scientific and engineering skills for the evaluation of experimental data

LiquidPower Specialty Products Inc. (LSPI) is the global leader in the science of drag reduction ... Analyze site assessment data to identify trends and assist with the development, implementation ...

LiquidPower Specialty Products Inc. (LSPI) is the global leader in the science of drag reduction ... Analyze site assessment data to identify trends and assist with the development, implementation ...

Showing results 21-40

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 Sep 5, 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 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 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:

Adjunct Instructor (Engineering Emphasis), Department of Chemistry, Physics & Engineering

Cameron University

Lawton, OK

Full-time, Part-time

Re-posted 4 days ago


Cameron University rating

7.1

Company rating: 7.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

415th of 630 rated colleges and universities


Job description

This posting is to create a pool of interested applicants from which the department may draw as sections become open at any point during the academic year. This posting may or may not result in hiring, dependent on our current needs, but we will keep applications on file. We are seeking adjunct science instructors for Cameron University in Duncan and/or Lawton.

POSITION TITLE:

Part time Adjunct Faculty for the Cameron University, Department of Chemistry, Physics & Engineering

RESPONSIBILITIES:

Adjuncts holding this position may teach a maximum of 9 credit hours a semester.

  • Responsibilities will include teaching engineering courses such as CAD, Solid Works and/or Electrical Circuits which are required for our Associate of Applied Science degree in Engineering. It will also require attending some mandatory university and department meetings, collecting assessment data for the courses under your instruction, and holding office hours for your students. The position requires the instructor to teach day and/or night classes as well as online courses. Other duties as assigned. 

MINIMUM QUALIFICATIONS:

  • For courses taught in the Associate of Applied Science degree in Engineering, a Bachelor’s Degree in the field of engineering is required plus a minimum of 18 or more graduate hours in engineering OR three years of tested experience in the field of engineering.

PREFERRED QUALIFICATIONS:

  • Master’s Degree in Engineering

SALARY:  

Commensurate with experience and qualifications.

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 others. 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.

APPLICATION PROCEDURE:  

Applicants must apply on the Cameron University Careers page and submit the following documents with their application:

Required Documents

  • A cover letter that includes availability
  • Current CV/Resume
  • Transcripts
  • Three recent letters of recommendation

EEO/AA Employer/Veteran/Disability


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Required Experience

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