Manager-Risk Management

** Description*
* At American Express, our culture is built on a 175-year history of innovation, shared  values  and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

At American Express we are focused on providing the best customer experience everyday through a differentiated set of products and services. Amex's Risk Management capabilities are at the core of delivering a superior customer experience while managing credit and fraud losses at the lowest levels in the industry. With our mix of assets like closed-loop data and machine learning models on a modern technology stack we are re-imagining how payment experiences & risk management converge in a more modern, digital and connected world.

Fraud Risk Management (FRM) helps enable profitable business growth by reducing the risk of fraud and maintaining our customers' 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 Fraud Risk Management team is looking for energetic and high-performing Manager to drive innovation in fraud risk. 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 strategies and capabilities for fraud prevention, utilizing our rich data. In this role, you will be collaborating closely with stakeholders both within FRM and across external partner teams.

To succeed in this role, you would need to have a very good blend of technical skills, innovative thinking, and collaborative skills.

*
* Job Responsibilities:

*
* * Develop and execute strategies to mitigate fraud, leveraging advanced analytics tools and technology to detect and prevent fraudulent activities effectively while maintaining customer experience.

* Conduct ongoing risk assessments to identify emerging threats and vulnerabilities. Implement robust monitoring mechanisms to detect suspicious activities and patterns in real-time, enabling prompt intervention and response.

* Partner with fraud and technology teams to establish a robust fraud strategy framework for new proprietary product launches.

* Work collaboratively with cross-functional teams, including product development, cybersecurity, compliance, legal, and customer support, to ensure a holistic approach to fraud risk management. Foster a culture of collaboration and information sharing to enhance the effectiveness of fraud prevention efforts.

*
* Minimum Qualifications:

*
* The successful candidate will have:

* 3  years' experience implementing capabilities in complex environments.

* Ability to design and develop fraud solutions using SQL, Python or other programming languages

* Solid understanding of statistical techniques for data analysis and correlation.

* 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 across teams.

* Strong project management skills, with high energy, intellectual curiosity, and a positive, proactive mindset.

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

* Familiarity with the fraud landscape and emerging fraud trends in the card space is a plus

* Knowledge of machine learning algorithms is a plus

*
* Preferred Qualifications:

*
* * Bachelor's/Master's degree in Business, Finance, Economics, Sciences, Mathematics, or Engineering related fields preferred

* Experience in Fraud risk management

**…