American Express - Manager - Data Science

Function Description:

A single decision can have many outcomes. And when that decision affects hundreds of thousands of customers and employees, it needs to be the right one. That's where our Enterprise Credit & Fraud Risk (CFR) Management comes in. CFR is the backbone of all financial services operations at American Express-it impacts every aspect of the company. As a part of this team, you'll work with the industry's top CFR teams to create smart and innovative strategies that advance our market share and the way we do business. If you're interested in getting to know all areas of our business and can translate our business needs into remarkable solutions, you should consider a career in CFR.

Strategy and Insights:

Development, review and/or execution of economic logic & analytical solutions to drive profitable credit or fraud business actions throughout customer lifecycle.

Critical Factors to Success:

Business Outcomes:

- Drive billing, revenue growth and profitability through advanced analytical techniques

- Analyze large amounts of data to derive business insights and create innovative solutions

- Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant

- 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

- High Partner & Project management exposure. Projects would require active collaboration with multiple stake holders across geographies

- Strong acumen to review unstructured/new data and create innovative data attributes to enhance existing models

- Understanding of credit card segment is a plus

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

Minimum Qualifications:

Qualifications - External

Experience:

4-8 years' experience in analytics, big data workstreams. Past people leadership experience is a plus.

Academic Background:

MBA, Master's Degree in Economics, Statistics, Computer Science Or Related Fields From Top Tier Institute

Functional Skills/Capabilities:

- Ability to drive project deliverables to achieve business results

- Ability to work effectively in a team environment

- Strong communication and interpersonal skills

- Ability to learn quickly and work independently

- Good Programming skills are a must

- Excellent problem formulation and solving skills

Technical Skills/Capabilities:

- SAS, R, Python, Hive, Spark, SQL

- Advanced Statistical Techniques

- Hands on programming and ability to design

Data Science/Machine Learning

- Expertise in Coding, Algorithm, High Performance Computing

- Unsupervised and supervised techniques -: Neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering, machine learning and deep learning.