Fraud Case Analyst Data Science

Job Description

J.P. Morgan in India provides a comprehensive range of Corporate & Investment Banking, Commercial Banking, Asset & Wealth Management, and Corporate functions services and solutions to our clients, executing some of the most important financial transactions and providing essential strategic advice to our clients such as the government, large domestic and multi-national corporations, non-government organizations and financial institutions and investors. India is a key market for JPMorgan Chase globally and our employees in India are a critical part of how we do business globally and are integrated within our businesses. Our Corporate Centers are strategically positioned in Mumbai, Bangalore and Hyderabad to support the firm s operations regionally and globally. The centers provide comprehensive strategic support across technology and business operations processing to all lines of business and the corporate functions.This position is part of Consumer & Community Banking FCPS (Fraud & Customer Protection Services) Operations Strategy team. FCPS consists of 14,000+ employees in Fraud Prevention and Claims & Dispute Call Centers located across domestic and international locations.Fraud Case Analysis team s goal is to help strengthen our existing fraud prevention capabilities. Fraud Case Analyst will collaborate closely with front-line Operations to identify any emerging fraud trends, large scale compromises and fraud vulnerable customer segments, size the impact of such incidences and share fraud mitigation opportunities with risk management and point-of-sale fraud prevention strategy partners to help build fraud prevention strategies. Fraud Case Analyst team receives fraud incidence observations from various fraud prevention departments, this role requires to review these referrals to size the magnitude of impact and take actions per the guidelines. Case Analyst will also build and validate hypothesis based on own experience and observations, with goal of identifying opportunities to reduce fraud losses. Role requires high analytical acumen with experience in data science. Ideal candidate for this role will not only know how to work with large set of information and extract insights to help make data driven decisions, but also be experienced in putting together high quality presentation slide and be able to tell the story.Responsibilities

• Review fraud incidence reports to size business impact such as fraud losses, customer experience, operational expense etc. and share findings with management and partners
• Work with several internal departments to identify the problems, provide data backed insights and propose solutions
• Leverage your own experience to build and prove hypothesis to help uncover fraud prevention opportunities
• Attend Operating Loss meetings to keep abreast of latest development in business and work with risk management team to prioritize current business needs
• Present analyses / recommendations in verbal and written form to a wide audience that is clear, concise and easy to understand

• Bachelors or Master s degree in a quantitative discipline (concentration in Mathematics, Statistics, Computer Science, Operations Research or similar) from an accredited university required
• 2+ years of experience in analytical domain, preferably in banking / credit card industry. Experience in Fraud Analytics is a plus
• Strong analytical, interpretive and problem solving skills, which require interpreting large amounts of data and its impact in both operational and financial areas
• Must have 2+ years of programming experience in one of the statistical / analytics tools SAS, R, Alteryx
• Knowledgeable of advance analytics and predictive model development techniques such as logistic regression, decision tree etc.
• Result oriented self-starter who works well independently and as a team player

Keyskills :
raud preventionfraud analyticsenvironmental impact assessmentcase analysisrisk managementinvestment bankingproblem solving