JPMorgan Consumer Cards Fraud Risk Analytics Strategy - Associate 

India, Maharashtra, Mumbai 

939366106

As a Risk Management - Fraud Risk Senior Officer - Senior Associate in the Digital Fraud Strategy team, you will be responsible for leveraging advanced analytical tools to protect customers from fraud and scams in the digital payments space. You will leverage machine learning fraud models, overlain with vendor and in-house data as well as an array of analytical techniques to develop risk rules and strategies. You will act as the end to end owner of fraud loss management of digital activity.

Job Responsibilities:

• Manage and analyze emerging fraud and scam trends and recommend mitigating actions
• Create and develop new fraud fighting products by designing requirements and working with technical business partners to implement these products using agile design methodology
• Develop new creative solutions to challenges presented by fraud activity leveraging outside the box thinking
• Manipulate and understand large amounts of complex data to monitor and uncover behaviors and trends in fraudulent activity
• Exercise strong communication skills with the ability to communicate complex data into a clear story to team members as well as senior leaders
• Embrace a desire to work as part of a team, and ability to work with cross functional teams
• Demonstrate the ability to work on diverse tasks and respond to emerging issues

Required qualifications, capabilities and skills:

• Strong analytical, interpretive and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas
• Strong written and verbal communication skills and ability to interact with all levels of the organization is required with the ability to storyboard along with the ability to defend storyboard position
• Ability to develop elegant and common-sense solutions to complex business challenges
• Strong knowledge of programming language like: Python, SAS, R and SQL
• Proficient in Excel & PowerPoint

Preferred qualifications, capabilities and skills:

• 2 years of experience in Fraud risk roles preferred
• 4+ years of professional experience, experience in risk management, strategic analytics, or data science preferred
• Experience with Fraud Wrongdoers, Mules and 1^stparty fraudsters/ID theft
• Strong P&L knowledge and understanding of drivers of profitability
• Demonstrated experience with data analysis, designing & analyzing experiments, and Modeling
• A bachelor's degree in Finance, Accounting, Economics, Statistics or equivalent work experience preferred