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

Pwc

RFM AI Governance Manager

Tulsa, OK · On-site

$73.50K - $244K/yr

Responsibilities - Develop and implement AI governance frameworks - Conduct risk assessments to ... data science and AI lifecycle management preferred - Coding experience in Python or similar ...

The OSU/A&M System

Postdoctoral Fellowship GF1744

Tulsa, OK · On-site

$44.80K - $60.70K/yr

... data analytic skills Preferred Qualifications * Applicants with experience working in the fields of intervention science, cardiometabolic disease risk reduction, nutrition, health promotion, and/or ...

TERRACON

Geotechnical Department Manager I

Tulsa, OK · On-site

Be familiar with company risk policies. * Lead safety efforts for team and ensure team follows ... Environmental Science or Geology and 5 years' practice experience. Or, in lieu of a degree, a ...

TERRACON

Geotechnical Department Manager I

Tulsa, OK

... data wherever projects are located.From AI-supported solutions and predictive technologies to ... Be familiar with company risk policies. * Lead safety efforts for team and ensure team follows ...

TERRACON

Field Geologist

Tulsa, OK · On-site

Evaluate and interpret subsurface field and sampling data including soil and groundwater to develop ... scientist staff on projects. Oversee field monitoring and testing of soils including boring ...

TERRACON

Field Geologist

Tulsa, OK

Evaluate and interpret subsurface field and sampling data including soil and groundwater to develop ... scientist staff on projects. Oversee field monitoring and testing of soils including boring ...

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Credit Risk Data Science information

See Haskell, OK salary details

$27.3K

$84K

$145.8K

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

As of May 31, 2026, the average yearly pay for credit risk data science in Haskell, OK is $84,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $103,700.00 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 cities near Haskell, OK are hiring for Credit Risk Data Science jobs? Cities near Haskell, OK with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Accounts Receivable Supervisor (contract)

Accounts Receivable Supervisor (contract)

Robert Half

Catoosa, OK • On-site

$45 - $48/hr

Temporary

Posted 11 days ago

Job description

We are looking for an Accounts Receivable Supervisor to lead core receivables activities and support strong cash performance for the business in Oklahoma. This contract position is ideal for a finance specialist who can guide daily billing, collections, and cash application work while maintaining accuracy, accountability, and compliance. The person in this role will collaborate across departments to resolve invoice issues, improve reporting visibility, and strengthen receivables processes as the organization grows.

100% ONSITE in Tulsa, Oklahoma.

This is a 3+ month contract position with potential for contract-to-hire.

This role does not manage any staff.


Interim Accounts Receivable Supervisor (contract position):

Responsibilities:

• Lead day-to-day accounts receivable workflows, including invoice processing, payment posting, and follow-up on outstanding balances.

• Review customer billing activity to confirm invoices are accurate, complete, and issued within expected timelines.

• Track receivables aging and take prompt action to reduce delinquent balances and improve collection results.

• Coordinate with sales, operations, and project teams to investigate billing questions, deductions, and disputed charges until resolution is reached.

• Manage collection strategies for higher-risk accounts and elevate concerns to leadership when exposure or delayed payment trends increase.

• Work with finance and credit partners to monitor customer account risk, support credit limit oversight, and protect cash flow.

• Prepare recurring receivables reporting, including aging summaries, collection performance metrics, and cash forecast updates for management review.

• Recommend and implement improvements that increase efficiency, strengthen controls, and support automation or reporting enhancements within receivables systems.

• Provide documentation and support for audit-related requests while helping maintain compliance with internal policies and segregation of duties requirements.

• Bachelor’s degree in Accounting, Finance, Business Administration, or a related discipline.
• At least 5 years of progressive experience in accounts receivable, billing, credit, or commercial collections.
• Prior leadership experience supervising or guiding a receivables team in a fast-paced business environment.
• Strong working knowledge of accounts receivable operations, including cash application, invoicing, collections, and account reconciliation.
• Advanced Microsoft Excel skills with the ability to analyze trends, interpret aging data, and support reporting needs.
• Effective communication and conflict-resolution skills with the ability to work across multiple departments and influence outcomes.
• Solid understanding of internal controls, compliance expectations, and process improvement within finance operations.
• Experience in manufacturing, industrial, or project-driven environments is preferred.
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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948

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