Job Details
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join #TeamAmex and let’s lead the way together.
How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex.
Unleash your analytical skills to define the future of how we serve our customers.
How will you make an impact in this role?
This position is within Model Risk Management Group (MRMG) in Global Risk, Banking, and Compliance (GRBC) unit at American Express. It is a people-leader role overseeing a team of data scientists and risk analysts responsible for model risk management of the company's most critical models including credit risk, fraud risk, and credit line assignment models. The position requires a solid understanding of fundamentals of modeling, model risk management, and risk management decision processes, plus a dual responsibility of managing the team and engaging in hands-on modeling analytics as needed.
The job has the following key responsibilities for the team:
- Conduct independent review of new models and model changes including conceptual soundness and performance evaluation
- Evaluate model performance and appropriateness on an ongoing basis as part of ongoing monitoring crucial to driving insights for improvement in modeling and business decisions
- Evaluate, design and improve key model risk management programs and processes
- Support regulatory exams and audit processes
- Conduct modeling analytics and topic research for effective model risk management
- Oversee and manage quality of the team's work products
- Report key outcomes of model risk management activities to senior management
Qualifications
- Proven leadership and management of modeling analytics staff to build a winning team and drive results
- A solid understanding of modeling, model risk management, and business analytics, preferably with 4+ years of relevant experience
- Strong understanding of statistical inference and unstructured data representation (e.g. text, image)
- In-depth knowledge of common machine learning algorithms (e.g., gradient boosting, neural network / deep learning, LLM)
- A self-starter with ability to identify and evaluate key analytical issues and conceptualize complex, abstract ideas into solid, tangible representations through reasoning, mathematics and statistics
- Solid, hands-on possession of the following programming skills: SQL, Python, C++, big data (e.g., PySpark/HIVE)
- Strong communication and writing skills; ability to explain complex model-related topics to partners and stakeholders who may not have a quantitative background
- Flexibility and a strong sense of discipline and responsibility to work with tight deadlines and changing priorities
- Ability to build and manage sound working relationships internally and externally
- Knowledge of banking and retail lending business and model building process and system implementation a plus
- Advanced degree in statistics, decision science, or a closely related field preferred
Salary Range: $150,000.00 to $225,000.00 annually + bonus + equity (if applicable) + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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Our differences are what shape the world, and we’re committed to ensuring everyone is seen, heard, and feels like they truly belong. That’s why... Read more