Senior Managers, Risk Management - job 18 of 32

Senior Managers in Risk Management at American Express are tasked with designing and executing business strategies and risk management solutions. This includes analyzing both structured and unstructured data, transforming analysis into actionable insights, and collaborating with technology teams to implement risk management policies. They are also expected to identify additional data sources and promote internal best practices to enhance profitability across American Express’s offerings.

To apply for the Senior Managers, Risk Management role at American Express, candidates must possess a Master’s degree in fields such as Finance, Statistics, Mathematics, or Computer Science, along with at least one year of experience related to data analysis and advanced statistical techniques. Proficiency in tools like SAS, SQL, and Gradient Boosting Machine is also required, as well as experience in financial and statistical modeling.

Essential technical skills for the Senior Managers, Risk Management role at American Express include expertise in advanced statistical techniques, financial modeling, and experience with data mining. Proficiency in programming languages such as R and use of analytical software like SAS and SQL is crucial for translating complex data analyses, while familiarity with machine learning techniques will enhance decision-making.

Yes, American Express offers the flexibility of telecommuting for the Senior Managers, Risk Management position, allowing employees to work from home up to two days per week. This flexibility helps promote work-life balance while ensuring that team members remain connected and engaged with their work.

American Express provides a comprehensive benefits package for Senior Managers in Risk Management, including competitive salaries, bonus incentives, and a 6% company match on retirement savings. Employees have access to career development opportunities, comprehensive health plans, wellness programs, and generous parental leave policies, ensuring overall well-being.

In answering this question, highlight specific financial modeling techniques you've utilized, such as regression or econometrics. Discuss how you applied these techniques in previous roles to assess risk or analyze data, providing concrete examples to demonstrate your impact on business decisions.

Mention strategies such as subscribing to industry blogs, attending webinars, or being part of professional associations that focus on risk management. Emphasize your proactive approach in adapting practices to meet compliance requirements and improve risk management methodologies.

Share a specific example where you led a team through a project involving risk management. Focus on your role in coordinating tasks, communicating effectively, and overcoming challenges to achieve successful implementation, highlighting the outcome and lessons learned.

Discuss tools like SAS, SQL, and R, as well as methods like clustering or regression analysis. Provide examples of how you've used these tools in previous projects to showcase your analytical capabilities and how they can benefit the role at American Express.

Talk about your commitment to continuous improvement by outlining specific initiatives you've undertaken, such as gathering feedback, analyzing results, and applying industry best practices. Demonstrate how these efforts led to enhanced decision-making or operational efficiencies.

Discuss your approach to simplifying complex concepts using visual aids, analogies, or storytelling. Emphasize the importance of understanding your audience and tailoring your communication style to ensure clarity and engagement.

Provide a concrete example of a project where you worked with large datasets. Discuss the tools and techniques you used to manage and analyze the data, the challenges you faced, and how the analysis influenced strategic decisions.

Share specific techniques you've used to handle unstructured data, such as text mining or natural language processing. Highlight instances where this transformed data led to actionable insights or improved risk assessments, reinforcing your ability to innovate in the field.

Detail any machine learning techniques such as Gradient Boosting Machine that you've employed in your work. Explain how these techniques improved the accuracy of risk assessments or enhanced predictive modeling, demonstrating your ability to leverage advanced technology for better outcomes.

Express your enthusiasm for American Express's reputation in the industry and its commitment to innovation and employee well-being. Relate your skills and experience to the mission and goals of American Express, showing how you can contribute to their continued success in risk management.