You are a strategic thinker passionate about driving solutions in data analytics . You have found the right team
As a Strategic Analytics Associate, you will work with the risk team to generate thoughtful analytics and recommendations to the business concerning strategy development, implementation, operational controls, and performance monitoring. Demonstrating strategic thought leadership, as well as delivery of best practices, you will leverage your deep understanding of statistics and strong analytical acumen to make informed decisions that deliver to each of our businesses. If you are intellectually curious and have a passion for driving solutions across organizational boundaries, you may be the perfect fit for our team.

Job Responsibilities:
• Monitoring authentication risks and fraud attack trends to identifying tactical and strategic responses to minimize customer and bank exposure.
• Collaborating with product, technical and analytics teams to develop and prioritize initiatives and resources to maximize existing capabilities.
• Taking ownership of the ATO and authentication related fraud loss categories to ensure a clear plan is place to minimize overall fraud loss expenses
• Escalating identified risks which may result in unacceptable fraud controls and losses . Providing support, including analysis, to various Strategic Fraud initiatives outlined by the business and Fraud Strategy leadership.
• Performing analysis of current and historic data to keep fraud systems and processes at the cutting edge of fraud detection also Identifying data driven fraud trends and developing broad strategies to address the trend
• Conducting defect reviews of high fraud losses cases to identify any gaps in fraud strategy, case management or make procedural adjustments
• Providing support, including analysis, to various strategic fraud initiatives outlined by the business and fraud strategy leadership

Required qualifications, capabilities, and skills
• Master's Degree or Bachelor's Degree with 3 years Risk Management or other quantitative experience
• Familiarity with risk analytic techniques
• Strong written and oral communication skills with the ability to communicate complex data into a clear story to team members as well as senior leaders.
• Experience delivering recommendations to management, strong ownership and accountability to drive and execute initiatives
• The ability to develop new fraud fighting products by designing requirements and working with technical business partners to implement these products using agile design methodology
• Ability to compress huge data into meaningful metrics and ideas using SAS and/or SQL
• Proficient in Excel & PowerPoint

Preferred qualifications, capabilities, and skills
• Machine Learning, Sequence Analysis
• Python, R