Apply for the Analyst – Data Science role at American Express in Gurugram/Manesar (0-2 years of experience). Join the Model Risk Management Group (MRMG) to oversee independent risk governance and validation for advanced ML and Generative AI systems.

About the Company: American Express

American Express (Amex) is a globally integrated payments company that provides customers with access to products, insights, and experiences that enrich lives and build business success. Renowned for its premium financial network infrastructure, travel services, and secure merchant networks, Team Amex relies heavily on sophisticated quantitative models to manage risk, detect fraud, and automate millions of daily transactions.

This role is housed within the Model Risk Management Group (MRMG), a critical technical pillar under the Global Risk and Compliance organisation. MRMG acts as the primary defence line for institutional security, maintaining independent validation control over every predictive matrix deployed by the company. Operating from Amex’s state-of-the-art corporate facility in Gurugram, this team defines enterprise standards, issues effective challenges to model developers, and ensures that deployment environments for both traditional and generative models comply with global regulatory expectations.

About the Role: Analyst – Data Science (AI/ML & GenAI Governance)

Are you an entry-level data scientist or a quantitative master’s graduate who wants to be at the forefront of AI safety, model robustness, and corporate governance? American Express is hiring for a full-time, permanent Analyst – Data Science based in Gurugram / Manesar, Haryana, India. Tailored explicitly for early-career professionals and freshers with 0 to 2 years of experience, this specialised position focuses entirely on the independent risk management and governance of Generative AI and advanced Machine Learning models.

As an analyst within MRMG, you will step out of basic coding loops to oversee AI models built for marketing, credit scoring, fraud detection, customer engagement, and automated decision-making. You will evaluate LLM prompts, test model architectures for underlying bias, research cutting-edge explainability methods, and translate technical anomalies into risk insights for senior executive committees. This track offers an exceptional pathway to develop a highly unique, future-proof career path balancing high-level math, core programming, and AI compliance engineering.

Key Responsibilities & AI Governance Workflows

• Independent Model Risk Assessment: Support independent oversight and issue effective technical challenges to Generative AI application builders, LLM implementations, and advanced ML pipelines across the firm.

• Architecture & Design Auditing: Participate in risk-based model reviews evaluating data science objectives, code designs, underlying neural architectures, training sets, and assumption structures.

• Prompt Engineering & Bias Validation: Run automated testing protocols to check LLM prompt safety, calculate performance vulnerabilities, evaluate explainability standards, and eliminate hidden data bias or systemic model misuse.

• Regulatory Compliance & Policy Mapping: Executive gap assessments comparing internally deployed software against evolving global regulatory policies, external standards, and enterprise model guidelines.

• Advanced AI/ML Research: Conduct proactive mathematical research into emerging validation methods for large neural structures, retrieval-augmented generation (RAG) platforms, and AI risk boundaries.

• Stakeholder Strategy Collaboration: Draft validation summaries, build analytical check logs, and present complex risk insights clearly to model developers, cross-functional engineering leads, and model risk committees.

Candidate Prerequisites & Key Technical Skills

Successful candidates must combine deep algorithmic curiosity and statistical knowledge with a highly structured, analytical approach to problem-solving.

Required Education & Baseline Experience:

• Experience Allotment: 0 to 2 Years of experience in business analytics, data science, model validation, big data workflows, or core programming internships.

• Academic Credentials: MBA or Master’s Degree in Statistics, Economics, Data Science, AI/ML, Generative AI, or a closely related quantitative field from a top-tier institute.

• Core Soft Skills: Clear written and verbal communication style with the ability to explain complex statistical anomalies easily to diverse non-technical audiences.

Required Technical Stack Competencies:

• Core Software Languages: Hands-on development experience using at least one of the following analytical tools: Python, PySpark, R, or SQL.

• AI/ML Foundations: Foundational understanding of core machine learning concepts (such as supervised/unsupervised algorithms, evaluation metrics, data tuning) with a keen interest in Generative AI technology.

• Analytical Checking: Comfortable manipulating datasets, running sanity checks on third-party models, and verifying automated pipelines.

• Domain Familiarity (Preferred Plus): Academic exposure to Large Language Models (LLMs), deep learning transformers, prompt mechanics, or algorithmic optimization metrics is a significant advantage.

Core Position Specifications

• Position Title: Analyst – Data Science (Model Risk Management Group)

• Hiring Organization: American Express (Global Risk and Compliance Division)

• Job Location: Gurugram / Manesar, Haryana, India (Hybrid Framework)

• Experience Benchmark: 0 – 2 Years (Freshers with strong quantitative master’s degrees are welcome)

• Compensation Profile: Competitive Base Structure (Not Disclosed / Best in Market Benchmarks) + Comprehensive Corporate Benefits

• Employment Framework: Full-Time, Permanent corporate assignment

• Target Industry Sector: Financial Services / Banking / Risk Analytics Hub

• Organisational Department: Data Science & Analytics – Other

LinkedIn Post Optimization

SEO Title: American Express Gurugram Model Risk Data Science Analyst Job 2026

Meta Description: Amex is hiring an Analyst – Data Science (0-2 yrs exp) in Gurugram for its Model Risk Management Group. Review and validate cutting-edge GenAI/ML models.