Quant Analytics Manager – Fraud Prevention Strategy

Fraud Prevention Operations Optimization Analytics & Strategy team supports different products like Card Retail and Digital in optimizing for losses customer experience and efficiency through strategy recommendations.

As a Quant Analytics Manager within Fraud Prevention Strategy you will be expected to work closely with different groups within Strategy and Operations across the life cycle to support products like Zelle Wires Bill Pay etc. and help them manage ATO Wrong doer Scams etc. You will present clear concise narrativesby translating complex data and analysis into executive-ready presentations for senior leaders and influencing outcomes in various forums.

Job responsibilities:

• Help the Fraud Strategy organization manage losses within budgetby conducting deep dives to understand key drivers of digital fraud and making strategic recommendations to reduce fraud losses.
• Monitor and maintain fraud authorization strategiesto counter emerging attacks and trends across loss types reduce false positives and support both card-present and card-not-present channels while meeting overall budget goals.
• Work closely with Operationsto understand product policies and procedures and help improve decision quality as needed.
• Understand key drivers of customer pain pointsand collaborate with the broader Operations team to develop creative solutions.
• Perform deep dives across processesto identify gaps efficiency opportunities and leakage-prevention measures.
• Partner with Strategy to optimize ATO wrongdoer and scam strategies while supporting controlled expansion of channels such as Challenge as a Service to ensure optimal outcomes across key portfolio segments and achieve profitable ROI.
• Lead strategic fraud roadmap initiativesin fraud prevention using AI/ML graph analytics and related capabilities and continuously identify new data sources to enable best-in-class fraud prevention.
• Develop new model input variables and profiles and expand the data footprint pattern-detection techniques and other capabilities to improve authorization decision accuracy across functions.
• Partner with Claims Recovery and Customer Experience teamsto improve recovery outcomes and reduce provisional credit theft.
• Ensure compliance with the existing control frameworkwhile driving enhancements to support successful closure of strategy audits and Matters Requiring Attention (MRAs).
• Engage and collaborate with Chief Risk Officers and key partnersacross Operations BP&A Claims Risk Marketing Technology Finance and Product to share business performance and loss trends across products.

Required qualifications capabilities and skills

• Bachelors degree in relevant technical or quantitative fields (e.g. Mathematics Engineering Finance Business Statistics Operations Research and Economics) with strong analytical technical statistical skills
• Prior 5 years of work experience inrisk management strategic analytics dataanalytics or payments function from a banking or consulting domain
• Competent in the use of data technology to solve complex business problems with hands-on expertise in the use of programming languages like LLM Python/Hive SAS R SQL Unix and/or other Oracle and/or Teradata database tools
• Good multi-tasking skills with ability to manage and prioritize projects across cross-functional groups
• Ability to thrive in a dynamic and fast-paced energetic environmentand can adapt to changes quickly

Preferred qualifications capabilities and skills

• Masters degree in relevant technical or quantitative fields (e.g. Mathematics Engineering Finance Business Statistics Operations Research and Economics) with strong analytical technical statistical skills
• Experience in Big Data platforms and technologies (Hadoop Hive Pig Spark etc.) & Machine learning is a plus
• Strong communication influencing and interpersonal skills with ability to interact with individuals across departments / functions and making recommendations to Senior management