Analyst-Data Science

Job Summary

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

Responsibilities

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 research to explore opportunities to elevate model excellence and drive business impact
• Communicating results to partners, senior leadership and various model committees

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.

Critical Factors to Success

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 using Machine Learning

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

Technical Skills/Capabilities

• Experience with atleast one of the data manipulation tools such as Python, R, JAVA, SQL and SAS is a must have.
• Data Science/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Teachniques - 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

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

Requirements

• 0-2 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.