Analyst

• Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance.
• Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics.
• Identifies business trends based on economic and portfolio conditions and communicates findings to senior management.
• Supports execution of large scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics based insights.
• Responsible for oversight of deposit product application fraud, trend identification and development of mitigation strategies to responsibly manage fraud risk.
• Ensures effective governance and cadence on progress reviews, communication, stakeholder updates.
• Guarantees seamless hand off to operations team for new processes.
• Provide recommendations on mitigation efforts, ensuring monitors are in place, and will self-create initiatives as needed.
• Collaborate with cross-functional teams to integrate fraud detection measures into existing systems and processes.
• Stay abreast of industry trends, emerging threats, and technological advancements to continuously enhance fraud prevention methodologies.
• Analyze data and conduct investigations to identify patterns, trends, and anomalies indicative of potential fraud.
• Identifying new sources of data (internal or vendor-provided) that can enrich our existing detection processes, be added to our decision systems, and allow for new detection strategies to be developed.
• Will require close coordination with partners in Fraud Technology.
• Ensuring proper risk controls are deployed, while adhering to best practices.
• Provide oversight on defect reviews of 3rd party/scam loss cases to identify any gaps in Fraud strategy and/or procedural adjustments.
• Providing fraud requirements, testing, and development of strategies for new project and endeavors.
• Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention.
• Monitor Strategy performance and Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies.
• Identify process improvements and efficiencies via data analysis.
• Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals.

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