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.

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.
• 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 Python, R, Java, SQL and SAS is a must have.
• Data Science/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - 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.

Responsibilities

• 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.
• 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.

Critical Factors to Success

• Business Outcomes: Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models.
• Business Outcomes: Maximize business returns by institutionalizing efficient and accurate models.
• Business Outcomes: Innovate modeling techniques and variable creation.
• Business Outcomes: 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.
• Leadership Outcomes: Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings.
• Leadership Outcomes: Demonstrate learning agility, make decisions quickly and with the highest level of integrity.
• Leadership Outcomes: Lead with a digital mindset and deliver the world's best customer experiences every day.

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.