Senior Managers, Risk Management - job 25 of 32

As a Senior Manager in Risk Management at American Express, you will be responsible for designing and executing effective business strategies and risk management solutions. You'll utilize both structured and unstructured data, analyze it using various statistical and machine learning techniques, and collaborate with technology teams to integrate policies effectively. Additionally, you will explore new data sources to enhance profitability and promote industry best practices in risk management.

To apply for the Senior Manager role in Risk Management at American Express, candidates must hold a Master’s degree in fields such as Finance, Statistics, or Computer Science. Furthermore, at least 1 year of experience in data analysis and advanced statistical techniques is required. Familiarity with tools like Gradient Boosting Machine, SAS, SQL, and STATA is also essential for this position.

Yes, American Express offers telecommuting options, allowing Senior Managers in Risk Management to work from home up to 2 days per week. This flexible work arrangement supports a healthy work-life balance while still maintaining productivity and team collaboration.

Critical data analysis skills for the Senior Manager, Risk Management role at American Express include proficiency in financial modeling, statistical modeling techniques like regression and cluster analysis, and the ability to process large datasets. Experience with programming in R, as well as the use of tools like STATA and Excel for advanced reporting, is also highly beneficial.

As a Senior Manager in Risk Management at American Express, you can look forward to competitive base salaries, bonus incentives, and comprehensive health benefits. The company also offers a 6% match on retirement savings, extensive paid parental leave, wellness support, and career development opportunities to support your overall well-being.

When answering this question, highlight specific statistical techniques you have used, such as regression analysis or econometrics, and provide examples of how you applied these in risk assessment scenarios to showcase your analytical expertise.

Discuss your collaborative approach, emphasizing communication and teamwork. Share an example of a successful integration project where you coordinated with various departments and highlight your role in facilitating understanding of the policies.

Reflect on your knowledge of both regulated and non-regulated data sources, and discuss how you evaluate their potential impacts on profitability. Providing specific examples of data-driven decisions you've made in the past can strengthen your response.

Use this opportunity to share a specific incident where you successfully conveyed intricate analysis results in a clear and relatable manner, showcasing your ability to bridge technical gaps and ensure everyone understood the implications.

Provide a list of tools like SAS, SQL, and R, along with examples of how you've utilized them in past projects. Emphasize any experience with machine learning techniques and how these tools helped drive decisions in risk management.

Share your commitment to continuous learning through journals, workshops, and professional memberships. Discuss any specific influencers or publications you follow to stay ahead in risk management strategies.

Outline a structured process for handling unstructured data, including data cleaning, transformation, and analysis methods. Highlight any specific tools you've used to derive insights from unstructured information.

Discuss the steps you take in developing financial models, such as defining the model structure, choosing the right assumptions, and validating outcomes. Sharing a previous experience where your model influenced business decisions can enhance your answer.

Be prepared to describe a specific strategy you created, focusing on the problem you were addressing, your analysis process, and the results. Demonstrating measurable outcomes will provide a clear picture of your impact.

Highlight your strategies for encouraging best practices, such as training sessions, sharing relevant case studies, and creating a culture of knowledge sharing. Providing examples of how you’ve successfully done this in the past will resonate with interviewers.