Join the Innovative Team at American Express: Shaping the Future of Credit & Fraud Risk Finance
American Express is a global leader in the financial services industry, renowned for its cutting-edge solutions and customer-centric approach. Our enterprise is rapidly evolving, and we're seeking talented individuals who can drive strategic decisions that propel our business forward. As a Senior Data Science Analyst in our Credit & Fraud Risk Finance team, you'll have the opportunity to work on high-impact projects, develop your skills, and contribute to the company's long-term growth.
About Credit & Fraud Risk Finance
The Credit & Fraud Risk (CFR) Finance team is a vital part of American Express's risk management framework. We provide data-driven insights and analytics to inform credit risk strategies, ensure adherence to governance and controls, and drive business growth. Our team is comprised of highly skilled professionals with a strong intellectual curiosity, passionate about solving complex business problems through data and insights.
Job Summary
As a Senior Data Science Analyst in our Credit & Fraud Risk Finance team, you'll play a critical role in supporting the development of Net Loss Provision forecasts and credit risk-related insights. You'll work closely with senior management, Finance teams, Risk Management, and Marketing teams to analyze complex data, identify trends, and provide actionable recommendations. This is a unique opportunity to join a talented team, develop your skills, and contribute to the company's success.
Key Responsibilities
- Support Provision Forecasting & Results Analysis: Collaborate with Chief Credit Officers to analyze International Card portfolios, develop forecasts, and provide insights on recoveries.
- Develop and Present Key Analyses: Create and present monthly recoveries outcomes and key analyses to senior management, highlighting key drivers of change.
- Provide Thought Leadership: Contribute to the development and enhancement of Recoveries Forecasting models and strategic business analytics.
- Cross-Functional Collaboration: Work with teams across the Risk Finance agency to support American Express's long-term growth targets.
Essential Qualifications
- Hands-on Experience: Experience working with financial analytics, using large datasets, and developing models.
- Technical Skills: Advanced Excel modeling skills, high level of scalability in PowerPoint, proficiency in SQL, Hive/Yellow Brick, and Python.
- Education: Bachelor's or Master's degree in Finance, Mathematics, Statistics, or Computer Science.
- Previous Experience: Previous experience in card risk control or 1+ year of work experience in a related field.
Preferred Qualifications
- Additional Technical Skills: Experience with TM1, Tableau, Power BI, or other visualization tools.
- Leadership Skills: Experience leading projects or teams, with strong analytical, organizational, and problem-solving skills.
Skills and Competencies
- Data-Driven: Highly motivated individual with the ability to work on ambiguous projects, drive outcomes, and make data-driven decisions.
- Analytical and Organizational: Strong analytical, organizational, and problem-solving skills, with attention to detail.
- Communication: Ability to explain complex mathematical concepts and communicate effectively with senior management.
- Independent and Adaptable: Ability to work independently, manage multiple priorities, and adapt to changing deadlines.
Career Growth Opportunities and Learning Benefits
At American Express, we're committed to the growth and development of our employees. As a Senior Data Science Analyst, you'll have access to:
- Competitive Base Salaries: Earn a competitive salary, ranging from $55,000 to $105,000 per year.
- Bonus Incentives: Participate in bonus programs, designed to reward outstanding performance.
- Retirement Savings Plan: Take advantage of a 6% company match on your retirement savings plan.
- Comprehensive Benefits: Enjoy comprehensive medical, dental, vision, life insurance, and disability benefits.
- Flexible Work Arrangements: Work flexibly with Amex Flex, offering hybrid and virtual work options.
- Parental Leave: Take advantage of 20+ weeks of paid parental leave for all parents.
- Wellness Programs: Access free on-site wellness centers and exclusive counseling services through our Healthy Minds program.
- Career Development: Participate in training and development programs, designed to enhance your skills and career prospects.
Considerations for Sponsorship
American Express may offer visa sponsorship for certain positions, depending on business unit requirements, the nature of the role, and relevant laws.
Conclusion
If you're a motivated and talented individual with a passion for data science and credit risk finance, we encourage you to apply for this exciting opportunity. As a Senior Data Science Analyst at American Express, you'll have the chance to work on high-impact projects, develop your skills, and contribute to the company's long-term growth. Don't miss this chance to join our innovative team and shape the future of credit & fraud risk finance.
Apply now and take the first step towards a rewarding career with American Express!
Apply Now