Consumer Banking Fraud Risk Analytics Strategy @ Amoza Travels Hiring

Job Description

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 ABOUT US JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants and employees religious practices and beliefs, as well as any mental health or physical disability needs. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Were proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions all while ranking first in customer satisfaction. We are here to help you manage your money with checking, savings and credit cards, combining the latest banking technology with comprehensive solutions to meet the financial needs of nearly half of U.S. households

Employement Category:

Employement Type: Full time
Industry: Financial Services
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 Python R Machine Learning Sequence Analysis Natural language Processing econometric Fraud Risk