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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.
Functional Description:
Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.
Roles & Responsibilities:
The successful candidate will be responsible to manage and controls model risk, specifically associated with Finance, Treasury, Anti-Money Laundering, Climate Risk and Membership Reward. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.
The specific responsibilities include:
Critical Factors to Success:
1. Business Outcomes:
2. Leadership Outcomes:
Minimum Qualifications:
Functional Skills/Capabilities:
Hands-on model development or validation experience. • Strong Analytical and Relationship and project management skills for driving validation initiatives. • Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred. • Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. • Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution. • Effectively communicating complex Analytical results to Business Partners and Senior Management. • Flexibility and Adaptability to Work Within tight deadlines and changing priorities.
Technical Skills/Capabilities:
Experience with at least one of the data manipulation tools such as Python, Py Spark etc. is a must have. Data Science/Traditional Modeling, Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms, Understanding of finance and valuation concepts.
Behavioral Skills/Capabilities:
Enterprise Leadership Behaviors
Salary Range: $90,000.00 to $165,000.00 annually bonus 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:
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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Other
Business Services
$151k-185k (estimate)
03/11/2024
05/08/2024
amexinc.com
MINNEAPOLIS, MN
200 - 500
1981
Private
MOHAMED NOURI
$10M - $50M
Business Services
Amex provides marketing and distribution channels for technology based companies and products.
The following is the career advancement route for Manager-Data Science positions, which can be used as a reference in future career path planning. As a Manager-Data Science, it can be promoted into senior positions as a Data Science Director that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Manager-Data Science. You can explore the career advancement for a Manager-Data Science below and select your interested title to get hiring information.