JPMorgan Risk Management - Fraud Senior Officer Associate 

United States, Ohio, Columbus 

441938292

As a Risk Management - Fraud Risk Senior Officer - Senior Associate in the Non-Digital Fraud Risk Authentication Strategy team, you will be responsible for identifying authentication gaps and controls required in IVR, Branch and Phone channels. This team caters across loss lines of Digital Payments, Check losses, Credit and Debit card losses across both monetary and non monetary flows. Leveraging data and actionable insights, you will be responsible for authentication requirement across non digital channels including credential onboarding, authentication credential flows as well identifying the need for friction to help mitigate fraud losses.

Job Responsibilities:

• Monitoring authentication risks and fraud attack trends to identifying tactical and strategic responses to minimize fraud.
• Collaborating with product, technical and analytics teams to develop and prioritize initiatives and resources to maximize existing capabilities.
• 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
• Identifying data driven fraud trends and developing broad strategies to address the trend

Required Qualifications, Capabilities and Skills:

• BS degree and minimum 5 years Risk Management or other quantitative experience required
• Familiarity with risk analytic techniques
• Strong analytical and problem-solving abilities
• Strong written and oral communication skills with the ability to communicate complex data into a clear story to team members as well as senior leaders.
• Experience delivering recommendations to management, strong ownership and accountability to drive and execute initiatives
• A desire to work as part of a team, and ability to work with cross functional teams
• The ability to develop new fraud fighting products by designing requirements and working with technical business partners to implement these products using agile design methodology
• The ability to work on diverse tasks and respond to emerging issues
• Ability to compress huge data into meaningful metrics and ideas using SAS and/or SQL
• Proficient in Excel & PowerPoint

Preferred Qualifications, Capabilities and Skills:

• Master's Degree preferred and 3 years Risk Management or other quantitative experience preferred
• 2 years or more of fraud risk analytics exposure preferred
• Machine Learning, Sequence Analysis and Python R experience is a plus.