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Join Team Amex to lead the way together in the Model Risk Management Group. Manage and control model risk, focusing on AI and Machine Learning models for marketing, credit, and fraud. Conduct research, communicate results, and drive business impact with a focus on innovation, accuracy, and efficiency. Requires 0-4 years of analytics or big data experience, MBA or Master's Degree in Economics/Statistics, and expertise in model development, validation, statistics, and data manipulation tools like R, SQL, and SAS.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

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

Purpose of the Role:

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.

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

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

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

Past Experience:

0-4 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 atleast one of the data manipulation tools such as 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

Set alert for similar jobsAnalyst-Data Science role in Gurgaon, India
American Express Logo

Company

American Express

Job Posted

3 months ago

Job Type

Full-time

WorkMode

Hybrid

Experience Level

0-2 Years

Category

Data Science

Locations

Gurgaon, Haryana, India

Qualification

Bachelor

Applicants

20 applicants

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