Manager/Senior Manager - Risk & Digital Analytics
American Express
Gurgaon, Haryana, India
3d ago

Job Description

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 Management and Enterprise Digital & Analytics teams comes in. CFR & EDA are 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 & EDA teams to create smart but 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 & EDA.

Job responsibilities :

There are three Job families within Enterprise Credit & Fraud Risk Management and Enterprise Digital & Analytics teams. Specific job responsibilities vary as per the Job family.

Decision Sciences :

Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing Strategy and Insights :

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

Product and Capabilities :

Development and deployment of best-in-class solutions in partnership with Decision Science and Strategy teams, while leveraging cutting edge technology and platforms

Responsibilities :

  • 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
  • Innovate with a focus on developing newer and better approaches using big data & machine learning solution
  • 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
  • Minimum Qualifications

    Past Experience :

    4+ years experience in analytics , big data workstreams

    Academic Background :

    MBA, Master’s Degree In Economics, Statistics 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 with complex, unstructured initiatives
  • Ability to Integrate With Cross-Functional Business Partners Worldwide
  • Good Programming skills are a must
  • Knowledge of SAS, Java, Hive, Pig, Python, SQL is a plus
  • Knowledge of MS Office PowerPoint, Excel
  • Technical Skills / Capabilities :

    1. Analytics & Insights & Targeting

  • SAS, R, Python ,Hive, Pyspark, SQL
  • Advanced Statistical Techniques
  • Hands on programming and ability to design
  • 2. Data Science / Machine Learning / Artificial Intelligence

  • Expertise in Coding, Algorithm, High Performance Computing
  • Unsupervised and supervised techniques - : active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
  • Gradient boosting machines, self-reinforcing algorithms
  • Knowledge of Platforms :

    Big Data - Cornerstone, Teradata

    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
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