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Consumer Banking Fraud Risk Analytics Strategy - Associate 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/Master's 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 JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's 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. Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

Bangalore

JP Morgan Chase - Associate - Fraud Risk Analytics Strategy - Consumer Banking 

Job Description for JP Morgan Chase - Associate - Fraud Risk Analytics Strategy - Consumer Banking  in JP Morgan Chase in  Bangalore for (6-10) years of experience. Apply Now!

JP Morgan Chase - Associate - Fraud Risk Analytics Strategy - Consumer Banking  | iimjobs.com