CCB Quant Analytics Manager_POS Fraud Strategy CC Optimization

Job Description

Primary Responsibilities:
• Drive Operations Optimization Initiatives across retail / card portfolios by synthesizing & analyzing complex data and drawing concise conclusions regarding underlying risk dynamics, trends, and opportunities
• Collaborate effectively with Operations, BP&A, Loss Forecasting, Tech, and Risk Strategy teams for Loss Mitigation, Efficiency Improvements, Customer Experience and Capacity planning
• Actively engages with Debit/Credit Fraud operations teams (Inbound/outbound) for improving decision quality and leverages the best-in-class analytical tools, algorithms, and capabilities
• Simplifying and optimizing the queuing space for Operations teams by eliminating bad demand, improving efficiency, and streamlining processes
• Assist team in managing critical machine learning & other score upgrades or refreshes that influence authorization strategies outcomes by working with internal / external modeling partners or associations like Visa / Mastercard
• Continue to enhance the machine learning based fraud authorization strategy to ensure optimal outcomes across key portfolio segments while ensuring profitable return on investment goals
• Lead strategic fraud road map projects like full strategy re-design framework, decommission of model scores across decision engines, or decision engine decommission while integrating the best-in-class fraud detection tools, algorithms, and capabilities
• Monitor and maintain fraud authorization strategies to counter emerging attacks and trends across loss types and reduce false positives across Card Present / Card not present channels while meeting overall budget goals
• Develop new model input variables, profiles and expand data footprint / pattern detection techniques & other capabilities to improve accuracy of authorization decisions across functions
• Manage identity theft risk related strategies for Digital Wallets / Account take over type scenarios
• Partner with Claims / Recovery to improve recovery / customer re-bill rates via data driven analytical strategy enhancements
• Ensure compliance with existing control structure while also driving future enhancements to ensure successful closure of Strategy Audits or Matter Requiring Attention (MRA) items
• Engage / Collaborate with Chief Risk Officers across businesses, key partners within Operations, BP&A, Claims, Risk, Marketing, Tech, Finance and Product owners to share overall business performance and losses across all products
• Present clear & concise stories by converting complex data or analysis into presentations for senior leaders in various forums and influence outcomes
Qualifications -
• Bachelor s degree in relevant technical or quantitative fields (e.g., Mathematics, Engineering, Finance, Business, Statistics, Operations Research and Economics). Masters degree preferred
• Prior 10+ years of work experience in risk management, strategic analytics, data analytics 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 Python/Hive, SAS, R, SQL, Unix and/or Teradata database tools
• Strong communication, influencing and interpersonal skills with ability to interact with individuals across departments / functions and making recommendations to Senior management
• Ability to create concise presentations and share performance insights on key metrics
• 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 environment and can adapt to changes quickly
• Ability to synthesize / analyze diverse information, develop recommendations, and make decisions.
• Ability to maintain control oversight on key management forums/reporting.
Leadership (For People Managers)
• Provide regular coaching & leadership & supervise the day-to-day functions of the group
• Leverage expertise and build collaborative relationships
• Discuss and improve on Training and Learning opportunities
• Consistently look for innovative ways to improve on productivity, development of employees while keeping them motivated in an extremely fast paced environment
• Provide timely direction on strategic changes within the business and help align the focus of resources to the same
• Leverage on the expertise of teams within the site and other sites to improve overall performance
• Model the organizations core values, operating principles, and philosophies
• Make appropriate and fact-based decisions with available information when under pressure and/or adverse conditions
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Keyskills :
analyticssqladvanced exceladvertisingandroidcard not present