Analyst - Data Science at American Express

Short Description:

The Analyst-Data Science role based in Gurgaon, India, within the Model Risk Management Group at American Express, involves independently overseeing and enhancing the risk management of regulatory models such as CCAR, CECL, IFRS9, Economic Capital, and Membership Reward. The candidate will conduct gap assessments, drive model excellence, and communicate results to various stakeholders. Key success factors include challenging and maximizing the efficiency of predictive models, demonstrating leadership with an external perspective, and leveraging advanced statistical techniques. The position requires 0-2 years of analytics or big data experience, a Master’s degree in economics or related fields, and proficiency in tools like Python and Py Spark. The role emphasizes a digital mindset and a commitment to delivering exceptional customer experiences. Competitive benefits and a commitment to employee well-being underscore American Express's equal opportunity employer status.

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Position: Analyst-Data Science

Location: Gurgaon, Haryana, India

Job ID: 24000008

Work Location Options: Hybrid

 

Job Description

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.

Functional Description:

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

Roles & Responsibilities:

The successful candidate will be responsible to manage and control model risk, specifically associated with regulatory models like CCAR, CECL, IFRS9, Economic Capital, and Membership Reward. This role will elevate model excellence, strengthen long-term shareholder value, and adapt to the changing landscape of both model development innovation, the external environment, and heightened regulatory expectations.

The specific responsibilities include:

• Conduct independent oversight of enterprise-wide models with a focus on various statistical and mathematical models developed and used in Finance, Treasury, and Risk - Economic Capital models, IFRS9, CECL, and CCAR Stress Test models.

• Conduct gap assessments and establish a 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.

• Communicate 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.

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 the status quo and bring continuous innovation to existing models.

• 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:

• 0-2 years' experience in analytics or big data workstreams.

• Master’s degree in economics, Statistics, or Related Fields from a 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 the 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, Py Spark etc. is a must-have.

• Data Science/Traditional Modeling, 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.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries.

• Bonus incentives.

• Support for financial well-being and retirement.

• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location).

• Flexible working model with hybrid, onsite, or virtual arrangements depending on the role and business need.

• Generous paid parental leave policies (depending on your location).

• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location).

• Free and confidential counseling support through our Healthy Minds program.

• Career development and training opportunities.

American Express is an equal opportunity employer.

Please click here to apply.

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