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Credit Risk Data Science Jobs in Le Mars, IA (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 ...

... risk management, business continuity, disaster recovery, and incident preparedness * Scalable ... Data and analytics enablement - building trusted information, governance, reporting, and analytics ...

... credit reports, background checks, reference checks, and other information pertinent to applicant ... Reasoning Ability to define problems, collect data, establish facts, and draw valid conclusions.

Develop and maintain reports, dashboards, and data extracts to support decision-making ... Bachelor's degree in MIS, Computer Science or related fields or/and equivalent experience or a ...

Develop and maintain reports, dashboards, and data extracts to support decision-making ... Bachelor's degree in MIS, Computer Science or related fields or/and equivalent experience or a ...

Lead site safety business plan development by analyzing relevant data and tracking/reporting ... Bachelor's Degree in safety, science, technical, or business field. * 5+ years' experience in ...

Lead site safety business plan development by analyzing relevant data and tracking/reporting ... Minimum Education and ExperienceBachelor?sDegree in safety, science, technical, or business field ...

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Showing results 1-20

Credit Risk Data Science information

See Le Mars, IA salary details

$35K

$107.8K

$186.9K

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 Le Mars, IA is $107,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $133,000.00 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.
Infographic showing various Credit Risk Data Science job openings in Le Mars, IA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,790 per year, or $51.8 per hour.

Working Capital & Accounts Receivable Manager

Farm Systems

Sioux Center, IA

Full-time

Re-posted 21 days ago


Job description

At Trans Ova Genetics, we play a critical role in supporting livestock producers through advanced reproductive services and genetic solutions that drive measurable operational outcomes. As part of the URUS Group, our work is connected to a broader global platform focused on improving herd performance, production efficiency, and long-term profitability across the agriculture industry.

We are seeking an Accounts Receivable & Credit Manager to lead a core financial function that directly supports business performance. This role goes beyond managing receivables-it is responsible for improving cash flow, strengthening financial discipline, and ensuring billing and collections processes align with both operational realities and customer expectations. This position will have clear ownership of outcomes and visibility across multiple areas of the business.

RESPONSIBILITIES 

Working Capital Management & Financial Performance

  • Own and optimize key working capital metrics (DSO, aging, cash conversion cycle). 
  • Develop and execute strategies to improve cash flow and reduce past due balances. 
  • Monitor AR trends and risks, providing actionable insights to executive leadership. 
  • Partner with FP&A and operations to align billing, collections, and cash flow priorities.

Leadership and Team Development

  • Provide direct leadership and direction to the AR/Credit team. 
  • Establish clear performance expectations, KPIs, and accountability across roles. 
  • Develop team capabilities through coaching, training, and succession planning. 
  • Foster a high-performance, collaborative, and engaged team culture.

Process Improvement & Transformation

  • Lead end-to-end AR process optimization initiatives (billing, collections, credit, cash application). 
  • Drive automation, standardization, and system enhancements (ERP, data workflows, AI-enabled tools). 
  • Identify and eliminate inefficiencies, bottlenecks, and manual processes. 
  • Ensure scalability of AR processes to support growth and acquisitions.

Cross-Functional Alignment

  • Partner with Sales, Operations, Customer Service, and Finance leadership to improve the client billing and payment experience. 
  • Align AR processes with commercial strategy and client relationship management. 
  • Serve as a key liaison with executive leadership on AR performance and initiatives.

Governance, Risk & Policy Oversight

  • Establish and maintain credit policy framework, ensuring appropriate risk management. 
  • Oversee escalation protocols for high-risk or complex accounts. 
  • Ensure compliance with internal controls, audit standards, and financial policies.

REQUIREMENTS

  • 5-10 years of progressive AR, credit, or finance leadership experience
  • Associate or bachelor's degree in accounting, Finance, Business, or a related field preferred but not required; equivalent combination of education and relevant experience will suffice.
  • Proven experience managing teams and driving working capital improvements 
  • Strong analytical, financial, and operational leadership skills 
  • Experience leading process improvement / transformation initiatives 
  • ERP and data analytics experience required
  • Proficiency in Microsoft Office Suite (Excel, Word, Outlook), with strong Excel capabilities preferred.
  • Exposure to or interest in automation tools, data analytics, or AI-enabled solutions in finance operations is a plus.
  • Strong analytical and problem-solving skills.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
  • Effective communication and collaboration skills, with the ability to work cross-functionally.
  • Self-motivated with the ability to work both independently and as part of a team.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.