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Manager-Data Science
Amex New York, NY
$151k-185k (estimate)
Other | Business Services 2 Months Ago
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Amex is Hiring a Manager-Data Science Near New York, NY

You Lead the Way. We’ve Got Your Back.

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.

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:

  • Conduct independent oversight of enterprise-wide models with a focus on a variety of statistical and mathematical models developed and used in Finance, Treasury, Anti-Money Laundering, Climate Risk and Membership Rewards.
  • Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards.
  • Conduct research to explore opportunities to elevate model excellence and drive business impact.
  • Communicating results to partners, senior leadership, and various model committees.

Critical Factors to Success:

1. Business Outcomes:

  • Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models
  • Maximize business returns by institutionalizing efficient and accurate models.
  • Innovate modeling techniques and variable creation
  • Ensure modeling accuracy and enhance modeling efficiency in existing processes

2. Leadership Outcomes:

  • Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
  • Lead with an external perspective, challenge status quo and bring continuous innovation to the existing models
  • Demonstrate learning agility, make decisions quickly and with the highest level of integrity
  • Lead with a digital mindset and deliver the world’s best customer experiences every day

Minimum Qualifications:

  • Master’s degree in quantitative field or MBA with analytics experience

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

  • Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
  • Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
  • Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage

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:

  • 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.

US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement.

If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.

Job Summary

JOB TYPE

Other

INDUSTRY

Business Services

SALARY

$151k-185k (estimate)

POST DATE

03/11/2024

EXPIRATION DATE

05/08/2024

WEBSITE

amexinc.com

HEADQUARTERS

MINNEAPOLIS, MN

SIZE

200 - 500

FOUNDED

1981

TYPE

Private

CEO

MOHAMED NOURI

REVENUE

$10M - $50M

INDUSTRY

Business Services

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About Amex

Amex provides marketing and distribution channels for technology based companies and products.

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