Purpose of the Role:
The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Gen AI (Large Language 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
The specific responsibilities include:
Conduct independent oversight of enterprise-wide models with a focus on Gen AI (Large Language Models) 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 AI/MLresearch 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:
1 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
Past Experience:
0-3 years experience in Large Language Models or big data workstreams
Academic Background:
MBA, Master’s Degree In Machine Learning, Computer Science, 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, is a must have Gen AI/ 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.
Behavioural 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
American Express is looking for B.E. / B.Tech , MCA , M.E. / M.Tech profile candidates.
Short Job Information