JOB DESCRIPTION

Fraud Risk Management (FRM) helps enable profitable business growth by reducing the risk of fraud and maintaining our customer’s confidence in the security of our products. FRM is also accountable for building the infrastructure to manage the emerging risks associated with e-commerce and internet services.

The Point-of-Sale (PoS) US Card Not Present Fraud Risk team is looking for energetic and high-performing Senior Analyst to drive innovation in Card Not Present fraud risk area. You will have the power to identify interesting and actionable insights that would have a meaningful impact on our customers and our business. You will be responsible for developing and implementing new strategy and capabilities for fraud prevention. These new capabilities would utilize our rich data. In addition to managing fraud strategy for specific segment under Card not present, the responsibilities will also include working with Product and Technology teams for platform modernization work. To succeed in this role, you would need to have a very good blend of technical skills, innovative thinking and collaborative skills.

RESPONSIBILITIES

• Develop new fraud prevention control strategies for Online spend

• Minimize Unprofitable Fraud Related Disruptions, with specific focus on Fraud Strategy Controls

• Develop and manage fraud capabilities for 3DS and Digital segments

• Conceptualize and implement new data features which would help in reducing approved fraud

• Address Emerging Fraud Trends & Monitor Key Metrics to take Corrective Actions

• Providing thought leadership for new payment product integrations

• Lead integration of new data sources

• Partner with Global Servicing, Decision Science on key fraud initiatives

• Work closely with different Fraud and Technology teams to ensure robust fraud strategy framework for any new proprietary product launch

• Lead platform modernization and migration efforts in close partnership with Technologies, Capabilities and Product teams

QUALIFICATIONS

The successful candidate will have:

• 2+ years of experience across analytics, strategy, and execution in complex environment

• Undergraduate / master’s degree in science, Technology, Engineering, Mathematics, or Computer Science

• Experience with data processing tools such as R, SQL, Hive, Yellow Brick, or Python is required

• Understanding statistical techniques related to data analysis and correlation

• Knowledge of machine learning algorithms is a plus

• Working knowledge of fraud landscape and emerging fraud trends in the card space is a plus

• Understanding of payment products, emerging technologies and competitive landscape is preferred

• Ability to manage multiple requests and changing priorities and to work in a fast-paced dynamic environment

• Proven track record of working proactively and independently to solve problems and drive results

• Strong presentation skills to convey data and fraud insights to different stakeholders

• Ability to build collaborative, trusting relationships

• Strong project management and communication skills to work effectively in a team environment. High energy, intellectually curious and infectiously positive.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.