We embrace passionate Team Members who consistently display our values: United, Informative, Approachable, Caring and Transparent. We are united in our collective effort to achieve member goals and proactively provide solutions tailored to individual Member needs. We are committed to ensuring that each Member receives a positive service experience and trusted financial advice. Join the Nuvision Team today! Let us be part of your career journey! The purpose of this position is to enhance the safety and security of the credit union assets by executing the credit union’s fraud prevention program. The position will be responsible for monitoring suspicious transactions across multiple channels and taking necessary steps to prevent or mitigate losses. The Sr. Fraud Review Specialist will also monitor incoming fraud and queues and provide support to the charge back process. The Sr. Fraud Review Specialist will have a strong background in VISA debit and credit card fraud monitoring and will be able coordinate complex investigations for referral to law enforcement. The Sr. Fraud Review Specialist adds value to the Credit Union by ensuring that risk and exposures are managed to the benefit of the membership. Responsibilities: - Review escalated fraud alerts from the credit and debit card portfolio for risk decisions. - Analyze and update rules and alerts for optimal effectiveness. - Review the incoming fraud and dispute queues for trends and assignments. - Coordinate complex investigations, create case narratives for suspicious transactions for referral to BSA group and direct referral to law enforcement. - Create lessons learned memorandums and administer roundtables and committees to analyze loss situations to prevent re-occurrences. - Maintains a high degree of knowledge related to VISA debit and credit card products, fraud prevention and investigations. - Treats all co-workers and members with respect. - Supports and participates in continuous improvement activities. - Represents the Credit Union in a positive and professional manner. - Maintains member and other sensitive information with confidentiality. - Other related duties as assigned. Minimum Qualifications: - 3 years expertise in financial analysis with an emphasis on fraud detection. - Understanding of banking and fraud threats. Must be familiar with plastic card fraud alert rules and be able to make risk-based adjustments. - Computer modeling and data mining skills, analytical skills, proficiency in Microsoft Office products, strong communication skills and detail oriented. - CU Fraud Detection Certification or equivalent Preferred Qualifications: - 3-5 years’ experience in administering a fraud prevention program. - Strong database and spreadsheet skills, perform complex analysis and draw logical conclusions for future modeling. - Strong database and spreadsheet skills, perform complex analysis and draw logical conclusions for future modeling. - CFE or CAMS certification - Bachelor’s degree in accounting, Finance or related business filed Education: - Associates Degree in Business Administration or Accounting or equivalent Website: nuvisionfederal.com/careers Pay scale by applicable geographic location: - Alaska: Min $33.22 - Mid - $41.52 - Max - $49.83 - Arizona: Min $29.28 - Mid - $36.61 - Max - $43.94 - Florida: Min $27.93 - Mid - $34.91 - Max - $41.90 - Nevada: Min $29.96 - Mid - $37.45 - Max - $44.95 - Texas: Min $28.20 - Mid - $35.25 - Max - $42.30 - Washington: Min $34.03 - Mid - $42.54 - Max - $51.05 - Wyoming: Min $28.88 - Mid - $36.10 - Max - $43.32 The final pay offered to a successful candidate will depend on several factors, including but not limited to the type and years of applicable experience within the job and industry, education, etc. Benefits: - Medical - Dental - Vision - Life Insurance - Flexible Spending Account - 401(k) Matching - Paid Time Off - Training Provided - Tuition Reimbursement Applicants must be legally authorized to work in the U.S. without the need for current or future sponsorship. Nuvision Credit Union is proud to be an Equal Opportunity Employer. At Nuvision Credit Union, we provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Nuvision Credit Union is committed to providing equal employment opportunities to all individuals, including those with disabilities. If you require a reasonable accommodation to complete the application or interview process, please contact our recruiting team at Recruiting@nuvisioncu.org. We will work with you to meet your needs in accordance with applicable laws.

• Establish, implement, and continuously improve a data governance framework (policies, standards, roles, processes, decision rights) for program teams. • Define governance operating model components such as data ownership, stewardship, and domain/accountability structures. • Create and manage governance artifacts (e.g., glossary standards, naming conventions, documentation templates, lineage standards). • Lead program efforts to maintain and expand the Collibra data catalog, including onboarding new datasets, domains, and business terms. • Configure and promote use of Collibra capabilities such as business glossary, data dictionary/metadata, lineage, workflow, and certification/curation. • Develop documentation and enablement materials to drive consistent catalog usage by technical and non-technical users. • Partner with data owners and SMEs to enhance data dictionary, business definitions, and technical metadata. • Capture and maintain end-to-end data lineage across pipelines and systems to improve transparency, auditability, and trust. • Establish processes for metadata quality checks and periodic review/certification of critical data assets. • Design and develop conceptual, logical, and solution data models supporting operational systems and analytics platforms. • Translate business requirements into robust data structures, relationships, and workflows to support reporting, operational use, and analytics. • Analyze existing datasets and legacy schemas to guide data migration, rationalization, and application/service modernization efforts. • Collaborate with product owners, developers, DevSecOps engineers, business analysts, and data engineers to ensure governance is embedded in delivery. • Support solutioning efforts by aligning data modeling and governance practices to delivery roadmaps and release plans. • Communicate governance decisions, standards, and progress to stakeholders, including leadership audiences.

Program Description: NOTE: This is a short-term position with an expected duration of April 1, 2026 - September 30th, 2026. This program provides IT services focused on building, securing, and operating the Department of Veteran Affairs LGY’s home loan product-line technology. The contract’s purpose is to modernize and sustain critical home loan technology systems that support LGY’s delivery of mortgage-related services to program stakeholders, to provide continuous delivery and security integration. Position Description: We are seeking a Data Governance Lead to join an expanded analytics requirements, solutioning, and development team supporting VA. This role will serve as the program’s lead for data governance strategy and execution, with a specific focus on maintaining and expanding the Collibra data catalog, related documentation, and adoption of additional Collibra capabilities. You will establish and maintain a scalable data governance framework used by program teams, working closely with data owners and stewards across the organization to strengthen data definitions, data lineage, and data quality transparency, helping stakeholders trust and confidently use data. In addition, you will design and develop conceptual, logical, and solution data models to support modern operational and analytics systems, and guide data modernization by assessing legacy datasets and schemas.   Responsibilities: Data Governance Leadership & Framework - Establish, implement, and continuously improve a data governance framework (policies, standards, roles, processes, decision rights) for program teams. - Define governance operating model components such as data ownership, stewardship, and domain/accountability structures. - Create and manage governance artifacts (e.g., glossary standards, naming conventions, documentation templates, lineage standards). Collibra Administration & Adoption - Lead program efforts to maintain and expand the Collibra data catalog, including onboarding new datasets, domains, and business terms. - Configure and promote use of Collibra capabilities such as business glossary, data dictionary/metadata, lineage, workflow, and certification/curation. - Develop documentation and enablement materials to drive consistent catalog usage by technical and non-technical users. Metadata, Documentation, and Lineage - Partner with data owners and SMEs to enhance data dictionary, business definitions, and technical metadata. - Capture and maintain end-to-end data lineage across pipelines and systems to improve transparency, auditability, and trust. - Establish processes for metadata quality checks and periodic review/certification of critical data assets. Data Modeling & Modernization Support - Design and develop conceptual, logical, and solution data models supporting operational systems and analytics platforms. - Translate business requirements into robust data structures, relationships, and workflows to support reporting, operational use, and analytics. - Analyze existing datasets and legacy schemas to guide data migration, rationalization, and application/service modernization efforts. Cross-Functional Collaboration - Collaborate with product owners, developers, DevSecOps engineers, business analysts, and data engineers to ensure governance is embedded in delivery. - Support solutioning efforts by aligning data modeling and governance practices to delivery roadmaps and release plans. - Communicate governance decisions, standards, and progress to stakeholders, including leadership audiences.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Credit Risk Modeling Senior Analyst will play a key role in developing, enhancing, and maintaining quantitative credit risk models used for Current Expected Credit Losses (CECL), stress testing, and portfolio risk assessment. This role supports both commercial and retail lending portfolios and partners closely with Risk Management, Finance, and Data teams to ensure high quality, analytically sound estimates of expected and stressed credit losses. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. - Assist in the design, validation, and maintenance of models to support the Current Expected Credit Losses (CECL) framework, ensuring compliance with regulatory requirements - Assist in the design and execution of enterprise and regulatory stress testing methodologies (e.g., macroeconomic scenario expansion, loss forecasting, sensitivity analysis) - Support external and internal audit and model risk management inquiries for model related documentation - Conduct quantitative analysis as it applies to key business areas or specific types of models - Document models, assumptions, and methodologies in accordance with model governance and audit requirements - Effectively challenge the Bank’s models as requested, including conceptual soundness, assumptions, and appropriateness of model methodology - Collaborate with business groups to assist in developing effective modeling approaches to accurately represent the risks for practical business use - Identify and address potential process gaps or process improvements including data model requirement, structure and use, data governance, policy governance and other quantitative tools - Perform other assignments and special project analysis as requested by management Qualifications - Bachelor’s degree in Statistics, Applied Mathematics, Economics, Finance, Data Science, or a related quantitative discipline - 2+ years of hands-on experience developing, implementing, or validating credit risk models, including CECL, credit loss forecasting, regulatory stress testing, scorecard models, or early warning/behavioral risk models - 2+ years of programming experience using Python or SAS, with demonstrated ability to perform data manipulation, model development, model performance monitoring, and statistical analysis Requirements - Experience with CECL model development, implementation, or execution experience for Commercial Real Estate (CRE) and consumer lending portfolios - Proven solid knowledge of credit risk principles which inform credit loss forecasting - Ability to work in a fast-paced environment, manage competing priorities and to collaborate across the organization - Proven attention to detail and ensure data accuracy, reconciling and loading data - Ability to problem-solve effectively independently - Ability to communicate complex analytical issues in understandable terms appropriate for internal and external stakeholders Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements)