American Express is hiring for an fresher entry level Data Scientist role in India

Position:

• Analyst - Data Science (Data Scientist)

• Focused on validation, oversight, and governance of enterprise-level financial models

• Key contributor in ensuring model integrity, business alignment, and regulatory compliance

Company:

• American Express

• A global leader in financial services, known for its strong legacy, customer commitment, and innovation in digital payments

• Emphasizes values-driven leadership, continuous learning, and inclusive growth

Location:

• Gurugram, Haryana, India

Job type:

• Full-time

Job mode:

• Hybrid

Job requisition id:

• 25012083

Years of experience:

• 0 to 2 years

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Company Description:

• Founded over 175 years ago, American Express is a global financial services company with operations in more than 130 countries

• Known for its credit card, charge card, and travel-related businesses

• Aims to deliver world-class customer experiences through cutting-edge technology, ethical leadership, and a focus on people

• Fosters a culture of innovation, learning, and inclusion

• Backed by its “Blue Box” values, the company promotes personal growth, professional development, and shared success

• American Express is committed to environmental, social, and governance (ESG) responsibilities

• Employees are supported with a wide range of well-being initiatives, career mobility options, and community service opportunities

• Recognized globally for its workplace culture, employee benefits, and leadership standards

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Profile Overview:

• The Analyst will work within the Model Risk Management Group (MRMG) under the Global Risk and Compliance function

• Responsible for independent review of predictive, statistical, and machine learning models used in key areas like Risk, Finance, and Treasury

• Role requires a deep understanding of model frameworks, data pipelines, and model performance metrics

• Involves conducting gap assessments, enhancing risk control frameworks, and elevating modeling practices

• Collaborates closely with model developers, risk managers, and leadership teams

• Expected to deliver detailed insights through analytical reviews, validation strategies, and research initiatives

• Will play a key role in upholding regulatory compliance, model transparency, and risk mitigation strategies

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Qualifications:

• 0 to 2 years of experience in data science, analytics, or big data roles

• Master’s degree in Statistics, Economics, or similar quantitative disciplines from top-tier institutes

• Hands-on experience with model development or validation is preferred

• Experience applying quantitative methods and advanced analytics to real-world problems

• Excellent communication skills to convey complex model validation insights to non-technical stakeholders

• Proven ability to work under tight deadlines and in cross-functional teams

• Familiarity with model governance processes and regulatory expectations

• Passionate about learning, with a willingness to explore new technologies and research methods

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Additional Info:

• Proficiency in Python, PySpark, or similar data manipulation tools

• Strong understanding of machine learning and traditional statistical modeling techniques

• Experience or familiarity with methods like decision trees, neural networks, Bayesian models, random forests, gradient boosting, reinforcement learning, text mining, etc.

• Exposure to supervised and unsupervised learning techniques

• Expected to innovate model approaches, challenge assumptions, and recommend improvements

• Leadership behaviors expected: external thinking, agility, decisiveness, courage, and collaboration

• Encouraged to lead with a digital-first approach while embracing enterprise-wide priorities

• Must demonstrate strong analytical judgment, adaptability, and ethical decision-making

• Career development, training, and wellness benefits are integrated into the role

• Flexible working arrangements with hybrid setup and excellent internal mobility

Please click here to apply.