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Manager-Data Science

New York, NY, USA
Data Scientist Machine Learning Engineer
Actively hiring

Manager-Data Science

American Express
New York, NY, USA
Data Scientist Machine Learning Engineer
American Express
Actively hiring

hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

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.

How will you make an impact in this role?

Model Risk Management Group (MRMG) within Global Risk Banking and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.

Purpose of the Role:

The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models.  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 Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.
  • Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened  regulatory standards
  • Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact 
  • Communicating results to partners, senior leadership and various model committees

Critical Factors to Success:

1. Business Outcomes:

  • Drive billing, revenue growth and profitability through advanced analytical techniques
  • 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 using Machine Learning

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 our existing offerings
  • 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

Past Experience:

  • Preferred 4+ years experience in analytics or big data workstreams

Academic Background:

  • MBA, Master’s Degree In Economics, Statistics Or Related Fields From Top Tier Institute

Functional Skills/Capabilities:

  • Hands-on model development or validation experience.
  • Experience with NLP / NLU model and chatbot frameworks would be preferred.
  • 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 R, JAVA, SQL and SAS is a must have

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

hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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