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

Position:

Analyst, Data Science

Company:

American Express

Location:

Gurugram, Haryana, India

Job Type:

Full Time

Job Mode:

Hybrid

Job Requisition ID:

26008698

Years of Experience:

0 to 3 Years

Company Description

• American Express is one of the world's most recognized financial services organizations, known for its commitment to innovation, customer trust, risk management, and premium financial products. Established more than a century ago, the company has built a strong reputation by providing payment solutions, credit services, travel benefits, financial products, and business solutions to millions of customers across the globe.

• The organization operates in numerous countries and serves individuals, small businesses, large enterprises, and institutional clients. Through continuous investments in technology, analytics, artificial intelligence, and digital transformation initiatives, American Express remains at the forefront of modern financial services.

• The company emphasizes a culture where employees are encouraged to contribute ideas, collaborate across functions, and participate in meaningful work that influences business outcomes. Employees are given opportunities to enhance their skills through learning programs, leadership initiatives, and career development resources.

• American Express strongly focuses on responsible innovation, customer security, regulatory compliance, and ethical business practices. Risk management remains a core pillar of the organization, ensuring that products, services, and technologies are developed and deployed responsibly.

• The company also invests heavily in employee well being by offering healthcare benefits, parental support programs, wellness initiatives, counseling services, financial planning resources, and flexible working arrangements. This employee focused approach has helped American Express maintain its position as one of the most desirable employers in the financial services industry.

• By combining advanced technology with strong governance practices, American Express continues to shape the future of financial services while maintaining the trust of customers, communities, shareholders, and employees around the world.

Profile Overview

• American Express is seeking an entry level Analyst, Data Science professional to join the Model Risk Management Group within the Global Risk and Compliance organization. This position offers an excellent opportunity for individuals interested in artificial intelligence, machine learning, analytics, and risk management to begin their careers with a globally respected organization.

• The selected candidate will contribute to the independent oversight, evaluation, and governance of advanced machine learning systems, Generative AI applications, and Large Language Models used throughout the enterprise. These technologies support critical business functions including marketing optimization, fraud prevention, customer engagement, credit decisioning, operational improvements, and risk management.

• The role focuses on ensuring that AI powered systems operate responsibly, accurately, fairly, and in alignment with internal governance standards and external regulatory expectations. The analyst will assist in reviewing model architecture, evaluating training data quality, examining prompt design strategies, assessing monitoring controls, and identifying potential risks associated with model deployment.

• Candidates will work closely with professionals across data science, engineering, product management, analytics, compliance, and risk functions. Through these interactions, they will gain exposure to large scale enterprise AI implementations and learn how organizations manage model risk in highly regulated environments.

• The position requires strong analytical thinking, curiosity about emerging technologies, attention to detail, and effective communication skills. Successful candidates will have opportunities to build expertise in Generative AI governance, model validation methodologies, regulatory frameworks, and enterprise risk management practices.

• This role is particularly suitable for recent graduates and early career professionals who want to build a career at the intersection of artificial intelligence, analytics, governance, and business risk management.

Key Responsibilities

GenAI Model Risk Assessment and Governance

• Assist in the independent review and oversight of Generative AI solutions, Large Language Models, and advanced machine learning systems deployed across the organization.

• Participate in model risk assessments designed to evaluate the effectiveness, reliability, and governance of AI based solutions.

• Review model objectives and determine whether business goals align with design intentions and deployment strategies.

• Examine model architecture and technical design decisions to identify potential risks and control weaknesses.

• Evaluate training datasets, assumptions, prompt engineering techniques, and supporting documentation.

• Assess performance measurement frameworks and monitoring processes established for AI and machine learning models.

• Analyze controls intended to manage risks associated with model drift, misuse, instability, bias, fairness, explainability, and robustness.

• Support model testing activities to validate assumptions and identify potential performance concerns.

• Review evidence and documentation provided by model owners to ensure compliance with internal standards.

• Contribute to model validation activities that strengthen governance practices across the enterprise.

Research, Frameworks and Policy Alignment

• Support the evaluation of existing AI and machine learning frameworks against internal policies and regulatory expectations.

• Conduct research related to artificial intelligence, machine learning, Generative AI technologies, and evolving industry practices.

• Analyze developments in global regulatory environments affecting AI governance and model risk management.

• Assist in creating guidance materials that support model validation activities and governance processes.

• Stay informed about emerging technologies, risk management frameworks, and best practices relevant to AI oversight.

• Apply research findings to strengthen validation methodologies and governance recommendations.

Stakeholder Engagement and Communication

• Prepare detailed analysis reports, validation summaries, risk assessments, and review findings.

• Present observations and recommendations clearly to internal stakeholders.

• Collaborate with data scientists, engineers, model developers, product teams, and risk professionals during assessment activities.

• Support communication with model governance committees and leadership teams.

• Translate technical concepts into business focused insights that facilitate decision making.

• Contribute to discussions aimed at improving model performance, transparency, and governance effectiveness.

Enterprise Risk Management Contributions

• Support the development of scalable and consistent model risk management practices.

• Assist in maintaining strong governance standards for AI and machine learning systems.

• Contribute to process improvement initiatives designed to increase efficiency and effectiveness within the Model Risk Management Group.

• Promote documentation discipline and analytical rigor across validation activities.

• Participate in projects that strengthen enterprise wide AI governance capabilities.

Qualifications

• Master's degree or MBA in Statistics, Economics, Data Science, Artificial Intelligence, Machine Learning, Business Analytics, Mathematics, Computer Science, or related quantitative disciplines.

• Degree obtained from a reputed institution with strong academic performance.

• 0 to 2 years of professional experience in analytics, machine learning, data science, model development, model validation, quantitative research, or big data environments.

• Internship experience involving analytics, machine learning, artificial intelligence, predictive modeling, or data driven projects will be considered valuable.

• Exposure to AI and machine learning concepts through academic projects, internships, research assignments, certifications, or professional work.

• Familiarity with Generative AI technologies and Large Language Models is advantageous.

• Understanding of machine learning fundamentals including supervised learning, unsupervised learning, classification, regression, clustering, and model evaluation techniques.

• Knowledge of statistical analysis methods and data interpretation practices.

• Ability to work with structured and unstructured datasets.

• Experience using at least one programming or analytics language such as Python, SQL, PySpark, or R.

• Familiarity with data manipulation, exploratory analysis, and analytical validation techniques.

• Strong problem solving capabilities and quantitative reasoning skills.

• Ability to approach complex challenges using structured methodologies.

• Excellent written communication skills for preparing analytical reports and documentation.

• Strong verbal communication abilities for stakeholder discussions and presentations.

• Ability to work effectively within cross functional teams.

• Strong organizational skills and the ability to manage multiple priorities simultaneously.

• Willingness to learn continuously and adapt to rapidly evolving technology environments.

Additional Info

• American Express offers employees the opportunity to work with cutting edge artificial intelligence and machine learning technologies while contributing to responsible innovation initiatives.

• Team members gain exposure to enterprise level AI governance frameworks, risk management methodologies, and regulatory compliance requirements.

• Employees benefit from mentorship opportunities, leadership development programs, technical learning resources, and career growth pathways.

• The company provides competitive compensation structures designed to reward performance and long term contribution.

• Eligible employees may receive annual performance incentives and bonus opportunities.

• Healthcare benefits may include medical, dental, vision, life insurance, and disability coverage depending on location and employment policies.

• Flexible work arrangements may include hybrid, onsite, or virtual work models based on business requirements.

• Employees can access wellness resources, counseling services, and programs focused on physical, financial, and mental well being.

• Generous parental leave programs support employees during important family milestones.

• Professional development opportunities allow employees to continuously strengthen technical, leadership, and business capabilities.

• American Express maintains a strong commitment to diversity, inclusion, equal opportunity, and ethical business practices.

• Employment offers remain subject to successful completion of applicable background verification processes.

• Employees are encouraged to contribute innovative ideas, challenge assumptions responsibly, and participate in building the future of AI driven financial services.

• This position represents an excellent opportunity for recent graduates and early career professionals to develop expertise in analytics, artificial intelligence, machine learning governance, and enterprise risk management within a globally recognized organization.

Please click here to apply.