Risk Division- Salt Lake City- Associate, Operational Risk- 9797277

Job Duties

• Monitor new initiatives and review their proposed fraud controls for both existing and new business lines, challenging the business where appropriate.
• Analyze existing fraud capabilities and strategies, evaluate their effectiveness and propose alternative controls, when there are opportunities for improvements.
• Work directly with the Consumer Operations and Fraud Investigations functions responsible for execution of the fraud strategy and collaborate to identify gaps and process improvements.
• Use a data-driven approach to understand fraud risk and recommend effective identity theft and transaction fraud controls.
• Review, evaluate and help drive selection of new vendors or technologies to enhance the fraud strategy and mitigate emerging risks.
• Facilitate operational risk event management data collection, including detailed reviews of specific fraud operational risk issues/events and trends to identify significant or emerging risks and ensure appropriate remediation plans are implemented.
• Research and remain current on the latest industry fraud trends, emerging fraud risks within business drivers, regulatory and/or industry changes and recommend tools, services and practices for improvement.
• Work with business units to develop day-to-day risk management metrics which quantify the division’s exposure to various types of fraud risk.

Job Requirements

• A Master’s degree (U.S. or foreign equivalent) in Economics, Finance, Accounting, Mathematics, Statistics, Engineering, Information Systems, or a related field and one (1) year of experience in job offered or a related role.
• A Bachelor’s degree (U.S. or foreign equivalent) in Economics, Finance, Accounting, Mathematics, Statistics, Engineering, Information Systems, or a related field and three (3) years of experience in job offered or a related role.
• Prior experience must include one (1) year of experience (with a Master’s degree) OR three (3) years of experience (with a Bachelor's degree) with:
• using advanced Microsoft Office skills, specifically with Excel (including pivots and VLookups), PowerPoint and Sharepoint;
• querying databases using SQL;
• knowledge of financial fraud types, industry fraud trends and fraud prevention and detection tools/vendors;
• working knowledge of applicable laws, regulations, and relevant industry standards pertaining to consumer/retail banking;
• presenting with impact and building consensus across senior stakeholder groups for successful challenge of strategy, process and/or procedure changes;
• applying data science in Python, R or Spark;
• developing comprehensive risk management reports from large datasets;
• experience with consumer financial products such as credit cards, lending products, checking/deposit accounts and/or investment products.