Senior Managers, Risk Management - job 24 of 32

As a Senior Manager in Risk Management at American Express, your primary responsibilities include designing risk management strategies, analyzing complex data sets, and translating findings into actionable insights. You'll collaborate with various teams to implement policies and ensure compliance with regulations. Evaluating new data sources to optimize profitability and promoting best practices will also be key components of your role.

To apply for the Senior Manager, Risk Management role at American Express, you need a Master’s degree in Finance, Statistics, Mathematics, or related fields, along with at least one year of relevant experience. Familiarity with analytical tools like SAS, SQL, and machine learning techniques such as Gradient Boosting Machines is required, along with a strong background in financial modeling and data analysis.

In the Senior Manager, Risk Management role at American Express, you'll utilize techniques such as econometrics, regression analysis, cluster analysis, and data mining. Your expertise in transforming unstructured data and generating reports with tools like R, STATA, and MS Excel will be crucial in driving effective risk management solutions.

Yes, American Express offers the flexibility of telecommuting up to two days a week for the Senior Manager, Risk Management position. This allows you to maintain a healthy work-life balance while contributing effectively to the team.

American Express provides a competitive benefits package for Senior Managers in Risk Management, which includes comprehensive medical, dental, and vision insurance, a 6% company match on retirement plans, generous parental leave, financial coaching, and ongoing career development opportunities. They prioritize the well-being of their employees through various support programs.

When discussing your experience with risk management strategies, detail specific projects where you designed and executed strategies. Highlight your role in identifying risks, the methodologies you used to analyze data, and the outcomes of these implementations.

Explain your systematic approach to data analysis, emphasizing the tools and techniques you use, such as statistical modeling or machine learning algorithms. Mention an instance where your analysis led to significant insights or changes in risk management practices.

Discuss your experience with machine learning techniques, particularly Gradient Boosting Machine. Highlight a project where you applied this technique, what data you used, and how it influenced your risk assessment or decision-making process.

Talk about your strategies for staying updated on regulatory guidelines, how you incorporate compliance into your risk management framework, and any specific instances where you ensured adherence to regulations.

Share your favorite tools for financial modeling and data analysis, like R, SAS, or SQL. Explain why you prefer these tools and how they’ve enhanced your efficiency and accuracy in previous roles.

When discussing this, choose a specific example, explaining how you simplified the information, which tools you used to visualize data, and how you ensured effective communication with the stakeholders involved.

Highlight your commitment to continuous improvement by discussing practices you follow, such as feedback incorporation from regulatory bodies and internal reviews, and how these practices have positively impacted your risk management operations.

Elaborate on your criteria for evaluating new data sources, discussing factors like reliability, regulatory compliance, and potential impact on business decisions. Provide an example of a successful evaluation that significantly benefited your organization.

Discuss your collaborative approach, outlining how you engage with cross-functional teams, manage differing opinions, and work towards a shared vision for risk management. Mention past collaborative experiences that produced successful outcomes.

Share your passion for risk management, mentioning specific aspects of the field that excite you, such as data analysis or strategic planning. Highlight your admiration for American Express and how you envision contributing to their mission.