Analyst - Product Analytics and Risk - Fraud

• Develop and implement key fraud prevention and risk strategies for lending and/or deposit products.
• Leverage diverse sources of data to develop insights into customer behavior, preferences, and needs.
• Deliver accurate and timely reporting, dashboards, and visualizations to key stakeholders, enabling them to monitor performance, identify trends, and make informed decisions.
• Identify opportunities to leverage technology and streamline risk processes, driving automation, efficiency, and improved member experience.
• Stay updated on industry trends, regulatory changes, and best practices in retail risk management, and implement relevant changes to enhance risk reporting.
• Stay abreast of relevant industry regulations and compliance requirements related to retail financial services products. Ensure that product risk is managed in accordance with applicable laws and regulations.
• Collaborate with cross-functional partners, such as marketing, finance, operations, and IT, to achieve defined outcomes.
• Represent credit union in contacts with business and trade associations, members, and regulatory agencies. Attend civil functions and otherwise promote the credit union’s image.

• Must possess sufficient manual dexterity to skillfully operate an on-line computer terminal and other standard office equipment, such as financial calculators, personal computer, facsimile machine, and telephone.

• EXTERNAL: C.C.U.L., community organizations, vendors, suppliers and peers in financial institution.

• EXPERIENCE: Three years or more of analytics and risk management experience with an emphasis on fraud prevention and/or retail lending - origination and portfolio management.
• KNOWLEDGE / SKILLS:

• Demonstrated excellence at putting plans into action to achieve mutually agreed upon goals in a fast-paced professional environment.
• Proven track record of successfully developing and managing fraud/risk strategies for retail products within financial services.
• Understanding of the various fraud scenarios within retail financial products and digital/analog operations.
• Excellent analytical skills and ability to leverage data and customer insights to inform product, risk, pricing, and marketing strategies.
• Excellent communication, collaboration, and leadership skills.
• Ability to effectively synthesize analytic results into concise and impactful business cases with clear recommendations.
• Strong project management skills, including the ability to prioritize tasks, manage timelines, and deliver results in a fast-paced environment.
• Fluency with statistical and data manipulation tools such as SQL, SAS, R and/or Python.
• Experience with predictive models, e.g. regression models, decision trees, time series analysis.

• Corrected vision within the normal range.
• Hearing within normal range. A device to enhance hearing will be provided if needed.
• Occasional movements throughout the department daily to interact with staff, accomplish tasks, etc.
• Extensive travel by car or public conveyance for out-of-area locations or across the United States.

Golden1 Credit Union