American Express is hiring for an FRESHER entry level Analyst - Data Science role in India

Position: Analyst, Data Science

• The official role designation is Analyst, Data Science, specifically operating within the Model Risk Management Group (MRMG).

• The position is housed under the broader Global Risk and Compliance organizational structure of the company.

• The role is fundamentally structured around independent risk governance, evaluation, and oversight of advanced artificial intelligence and machine learning assets.

Company: American Express

• American Express is a globally recognized financial services and payments corporation with a rich 175-year legacy.

• The firm is globally renowned for innovation, trust, security, and world-class customer service delivery.

• The corporate culture centers on strong risk mindsets, shared values, and comprehensive support for employee holistic well-being and professional growth.

Location: Gurugram, India

• The physical work location is based in Gurugram, Haryana, India.

• The office infrastructure supports modern collaboration within a major corporate technology and business hub.

• Local teams operate within a dynamic environment connecting regional talent with global risk management operations.

Job Type: Full-Time

• The employment arrangement is a standard permanent full-time position.

• The schedule involves regular day-shift operational hours aligned with business requirements.

• Full-time colleagues enjoy comprehensive structural benefits, career development resources, and professional advancement pathways.

Job Mode: Hybrid

• The role operates under a flexible working model featuring a hybrid arrangement.

• Colleagues balance remote flexibility with periodic in-office collaboration based on team and business needs.

• The setup is designed to optimize personal productivity, work-life balance, and cross-functional team synergy.

Job Requisition ID: 26013533

• The unique internal tracking identifier for this specific job posting in the corporate applicant tracking system is 26013533.

Years of Experience: 0 to 2 Years

• The role is specifically designed for early-career professionals, recent graduates, and entry-level candidates requiring zero to two years of professional experience.

• Candidates with foundational internships, academic projects, or early career workstreams in quantitative fields are strongly encouraged.

• The experience bracket welcomes fresh perspectives while maintaining a high standard of analytical capability.

Company Description

• American Express stands as a premier global institution built upon a robust 175-year history defined by continuous innovation, unwavering integrity, and shared core values.

• The organization operates with an exceptional dedication to backing its diverse customers, vibrant communities, and talented colleagues across international markets.

• Business operations span from delivering highly differentiated financial products to providing world-class customer service experiences with utmost security and trust.

• A core operational pillar of American Express is maintaining a strong, enterprise-wide risk mindset that protects company assets and upholds its stellar brand reputation.

• Team Amex members experience powerful holistic backing encompassing physical, financial, and mental well-being support systems tailored to individual needs.

• The workplace environment provides extensive flexibility, ensuring professionals can thrive both personally and professionally through hybrid and modern working arrangements.

• Colleagues benefit from continuous learning opportunities, leadership development programs, and clear pathways for long-term career progression.

• Global on-site wellness centers staffed with professional medical personnel offer dedicated healthcare support depending on geographic location.

• Free and confidential counseling support is readily accessible to all team members through specialized initiatives like the Healthy Minds program.

• As an equal opportunity employer, American Express guarantees that all employment decisions are made free from bias regarding protected demographic categories.

Profile Overview:

• The Data Science Analyst role sits at the vanguard of modern technological governance, specifically tasked with overseeing Generative AI and advanced machine learning models.

• Core responsibilities involve conducting independent risk assessments, rigorous challenge protocols, and comprehensive evaluations of LLM-based applications.

• The position actively covers models deployed across critical business domains including marketing strategies, credit assessment, fraud detection, and customer engagement.

• Practitioners contribute directly to elevating enterprise model risk controls, ensuring alignment with rapidly evolving regulatory and internal governance standards.

• Analytical execution requires deep intellectual curiosity regarding AI technologies and the ability to translate complex technical findings into clear risk insights.

• Daily workflows involve performing model risk testing, evaluating training data quality, reviewing prompt designs, and scrutinizing underlying architectural assumptions.

• Professionals actively investigate and mitigate risks associated with algorithmic bias, model explainability, robustness vulnerabilities, and potential misuse vectors.

• Gap assessments are regularly conducted against internal risk policies and external regulatory expectations governing artificial intelligence systems.

• Continuous learning initiatives ensure that team members stay fully updated on emerging trends in AI risk management and global regulatory developments.

• Stakeholder communication forms a vital component of the role, requiring the preparation of structured analysis notes and risk summaries for senior leadership.

• Collaboration occurs seamlessly across cross-functional teams including software engineering, data science, product management, and enterprise risk partners.

• Enterprise contributions focus on establishing consistent, scalable, and defensible risk management practices that support responsible AI deployment.

• Leadership behaviors emphasize setting the agenda through enterprise thinking, bringing others along via effective collaboration, and executing tasks with uncompromised integrity.

• Learning agility and intellectual curiosity are continuously demonstrated by challenging technical assumptions responsibly and upholding core corporate values.

Qualifications:

• Candidates must possess an MBA or a Master’s Degree in quantitative disciplines such as Statistics, Economics, Data Science, AI/ML, or Generative AI.

• Educational qualifications must originate from a top-tier academic institute recognized for rigorous analytical and technical training programs.

• Professional background requires zero to two years of direct experience in analytics, data science, model development, or validation workstreams.

• Practical exposure to AI/ML model development, testing cycles, or validation through internships, projects, or professional roles is strongly preferred.

• Early exposure to or demonstrated academic interest in Generative AI and Large Language Model architectures represents a significant competitive advantage.

• Technical foundations necessitate a strong understanding of artificial intelligence and machine learning core concepts combined with enthusiasm for emerging technologies.

• Hands-on proficiency with at least one major programming language or data tool such as Python, PySpark, R, or SQL is strictly required.

• Candidates must demonstrate the ability to manipulate large datasets, execute analytical checks, and support comprehensive model evaluation activities.

• Core capabilities include exceptional analytical aptitude, structured problem-solving skills, and meticulous attention to detail during documentation reviews.

• Communication competencies demand clear written and verbal articulation to explain intricate analytical results to diverse technical and non-technical audiences.

• Personal adaptability must be evident in the capability to manage multiple concurrent tasks, adjust to shifting priorities, and adhere to strict delivery timelines.

Additional Info:

• Comprehensive employment compensation includes competitive base salaries paired with lucrative annual bonus incentives designed to reward performance.

• Robust financial well-being support features retirement planning resources and structured savings guidance for long-term security.

• Healthcare provisions encompass comprehensive medical, dental, vision, life insurance, and disability benefits customized according to regional location policies.

• Flexible working frameworks accommodate hybrid, onsite, or virtual operational structures depending on specific departmental and business needs.

• Generous paid parental leave policies are established to support new parents during vital family milestones based on local jurisdiction guidelines.

• Career development infrastructure provides continuous training modules, skill-building workshops, and mentorship opportunities for professional advancement.

• Equal opportunity employment standards ensure an inclusive, welcoming workplace environment where every individual is seen, heard, and valued.

• Pre-employment screening processes require the successful completion of a comprehensive background verification check in accordance with applicable laws.

• Specialized workplace accommodations are readily facilitated for individuals with disabilities or special needs throughout the recruitment journey.

• Dedicated recruitment operations support channels remain accessible for candidates seeking assistance during any stage of the hiring process.

Please click here to apply.