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American Express VP, Data Science in Helena, Montana

Description

VP, Data Science

Positions in Risk Management lead the development of credit, operational, enterprise, and fraud policies designed to profitably grow the portfolio, while ensuring excellent customer experience. These policies utilize mathematical models and other techniques to understand and predict customer behavior. Has overall control of planning, staffing, and recommending and implementing changes to methods. Establishes strategic plans and objectives. Influences policymaking.

The Kabbage Risk Team is looking for a VP to lead and manage model development and deployment in line with top-level business objectives; advocate for the Data Science team in decision making; frame modeling and engineering problems with a lens on business value. The successful applicant will need to have both a deep expertise in payment and banking products, as well as be a proven executive and thought leader.

What you'll be doing:

  1. Design and build decisioning systems that leverage predictive models and manage to KPIs

  2. Frame and manage model development, deployment and monitoring as pieces of a decisioning system

  3. Work cross-functionally with leaders to understand technical, legal and risk requirements and frame analytics and modeling problems

  4. Manage Data Science team members in constructing modeling, engineering and analytical solutions

  5. Coordinate the implementation of multi-piece decisioning systems across multiple ICs

  6. Review and maintain modeling and feature engineering code

Qualifications

What we're looking for in you:

  • Leadership: Capable of managing a small team and serving as a technical leader for the broader Data Science and Analytics organization

  • Organization and Planning: Plans, organizes, and schedules in an efficient, productive manner; focuses on key priorities; manages time well

  • Communication: Excellent written and oral communication skills and ability to share findings with a large, non-technical audience. Analytical and Critical Thinking Skills: Able to structure and process qualitative or quantitative data and draw insightful conclusions from it; exhibits a probing mind and achieves penetrating insights

  • Problem Framing: Provides practical solutions to problems

  • Initiative: Actively finds ways to make improvements at work

  • Flexibility/Adaptability: Adjusts quickly to changing priorities and conditions; copes effectively with complexity and change

  • Enthusiasm: Exhibits passion and excitement over work; has a can-do attitude

  • High Standards: Expects personal performance and team performance to be nothing short of the best

  • Teamwork: Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship

  • Persistence: Demonstrates tenacity and willingness to go the distance to get something done.

What you should have:

  • 7 years of experience in a full-stack data science and analytics role

  • 4 years of leadership and management experience

  • Relevant industry experience

  • Experience in machine learning, natural language processing, and other modeling techniques.

  • Strong ability in at least one programming language, preferably Python.

  • Strong knowledge of statistics.

  • Experience with big data tools and cloud servicing platforms

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

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.

US Job Seekers/Employees - Click here to view the “ EEO is the Law ” poster and supplement 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 poster

Job: Risk

Primary Location: United States

Other Locations: US-New York-New York

Schedule Full-time

Req ID: 21028072

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