American Express is hiring for a 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:

• 26003908

Years of experience:

• 0 to 3 years

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Company description

• A globally recognized financial services organization with a legacy spanning over a century and a half, known for delivering premium financial products and services across markets

• Built on strong foundational values that emphasize trust, security, customer commitment, and innovation in financial ecosystems

• Focused on creating differentiated customer experiences by combining technology, data, and deep customer insights

• Operates with a strong emphasis on risk awareness and governance, ensuring responsible innovation while maintaining regulatory compliance

• Known for its collaborative work culture where employees are encouraged to contribute ideas, innovate, and drive meaningful impact

• Invests significantly in employee growth by offering learning opportunities, leadership development programs, and career progression pathways

• Prioritizes employee well being by supporting physical health, mental wellness, and financial stability through structured benefits and support programs

• Maintains a diverse and inclusive workplace where individuals from varied backgrounds are empowered to perform and grow

• Encourages digital transformation and adoption of advanced technologies such as artificial intelligence, machine learning, and data science to stay ahead in the financial services domain

• Offers a dynamic environment where employees can work on impactful projects that influence business outcomes and customer experiences globally

• Provides flexibility in working arrangements, allowing employees to balance personal and professional commitments effectively

• Committed to ethical practices and equal opportunity employment, ensuring fair and unbiased hiring and workplace policies

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Profile overview:

• This role is centered around managing and overseeing risks associated with advanced analytical models, especially those based on emerging technologies such as Large Language Models and machine learning systems

• The selected candidate will be part of a specialized risk management group that focuses on validating and monitoring enterprise level models across different business functions

• The position requires evaluating the robustness, reliability, and accuracy of predictive models used in areas like marketing, credit decisioning, fraud detection, and other risk related domains

• Involves working closely with cross functional teams including data scientists, engineers, and business stakeholders to ensure models meet internal standards and regulatory expectations

• The role demands a balance between technical expertise and business understanding to ensure models not only perform well statistically but also deliver real world value

• Candidates will be expected to contribute to improving model governance frameworks and strengthening risk control mechanisms

• A strong focus will be placed on understanding the evolving landscape of artificial intelligence and ensuring that model practices align with industry standards and compliance requirements

• The role offers exposure to next generation technologies, enabling candidates to work on cutting edge applications of AI in financial services

• Involves presenting insights, findings, and recommendations to senior leadership and decision making committees

• Requires continuous learning and adaptability to keep up with advancements in AI, machine learning, and regulatory frameworks

• Offers an opportunity to influence enterprise wide decision making by ensuring models are reliable, fair, and efficient

• Ideal for individuals who are analytical, detail oriented, and interested in solving complex business problems using data driven approaches

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Qualifications:

• A postgraduate degree such as MBA or a Master’s degree in fields like Machine Learning, Computer Science, Statistics, or related disciplines from reputed institutions

• Foundational understanding of data science concepts, machine learning algorithms, and statistical modeling techniques

• Familiarity with model development or validation processes, including testing, evaluation, and performance monitoring

• Ability to work with large datasets and derive actionable insights using analytical tools and programming languages

• Strong problem solving skills with the ability to apply quantitative techniques to business challenges

• Good communication skills to explain complex analytical concepts in a clear and understandable manner

• Experience or exposure to working with cross functional teams and collaborating on projects involving multiple stakeholders

• Knowledge of programming languages such as Python, R, or Java for data manipulation and model development

• Understanding of supervised and unsupervised learning techniques, including regression, classification, clustering, and advanced methods

• Awareness of modern AI approaches such as neural networks, deep learning, reinforcement learning, and natural language processing

• Exposure to big data technologies and distributed computing frameworks can be an added advantage

• Ability to manage time effectively and work under tight deadlines while maintaining quality

• Strong attention to detail and commitment to maintaining high standards in analytical work

• Willingness to learn and adapt to new tools, technologies, and methodologies

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Additional info:

• Competitive compensation structure along with performance based incentives

• Access to financial wellness programs and retirement planning support

• Comprehensive health benefits including medical, dental, vision, and life insurance coverage

• Flexible work arrangements to support work life balance, including hybrid and remote options depending on role requirements

• Generous leave policies including parental leave to support employees during important life events

• Availability of wellness centers and healthcare support services in select locations

• Confidential counseling services and mental health support programs to ensure overall well being

• Opportunities for continuous learning through training programs, certifications, and internal mobility

• Strong focus on career growth with structured development plans and mentorship opportunities

• Inclusive workplace policies that promote diversity and equal opportunity for all employees

• Ethical hiring practices with no discrimination based on personal attributes or background

• Requirement to undergo background verification as part of the hiring process in compliance with regulations

• Exposure to global projects and collaboration with international teams

• Opportunity to work in a high impact role influencing risk management strategies across the organization

Please click here to apply.