Consumer Banking Fraud Risk Analytics Strategy @ Amoza Travels Hiring

Job Description

As a Strategic Analytics Associate, you'll work with the risk team to generate thoughtful and actionable analytics and recommendations to the business concerning strategy development, implementation, operational controls, and performance monitoring. Job Responsibilities: Monitoring non digital authentication risks and fraud attack trends to identifying tactical and strategic responses to minimize customer and bank exposure across non-digital authentication channels Collaborating with product, tech, loss line owners, process owners and analytics teams to develop and prioritize initiatives and resources to maximize existing capabilities. Taking ownership of the ATO & bad actors 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 Conducting defect reviews of high fraud losses cases to identify any gaps in fraud strategy, case management or make procedural adjustments Required qualifications, capabilities, and skills Bachelor's/Masters degree in a quantitative or business discipline from an accredited college/university required Minimum 6 years Risk Management or other quantitative experience required Background in statistics, econometric, or other quantitative field required Advanced understanding of SAS, SAS Enterprise Miner, or other decision tree software Ability to query large amounts of data and transform the raw data into actionable management information Familiarity with risk analytic techniques. Strong analytical and problem-solving abilities Strong written and oral communication skills. Experience delivering recommendations to management Preferred qualifications, capabilities, and skills Machine Learning, Sequence Analysis , Natural language Processing skills Python, R Exposure to Fraud Risk or related risk related fields

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Service / Installation / Repair
Functional Area: Not Applicable
Role/Responsibilies: Consumer Banking Fraud Risk Analytics Strategy

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Keyskills:   statistics SAS SAS Enterprise Miner Machine Learning Sequence Analysis Natural language Processing Python R econometric risk analytic techniques Fraud Risk