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

Position:

Decision Science Analyst

• Entry level role focused on applying data science and analytical methodologies to financial crime risk management

• Core contributor within the Decision Science function supporting Anti Money Laundering initiatives

• Responsible for building, validating, and operationalizing predictive models that enhance investigative efficiency

• Works at the intersection of data analytics, machine learning, regulatory compliance, and enterprise risk

• Plays a critical role in strengthening fraud detection and suspicious activity monitoring systems

• Engages in quantitative problem solving to support enterprise wide financial crime mitigation programs

• Acts as a bridge between technical modeling teams and business stakeholders within compliance and risk units

Company:

American Express

• A globally recognized financial services corporation operating across payments, credit, and merchant services

• Over 175 years of operational history marked by consistent innovation in financial products and risk management

• Operates a secure and intelligent payments network serving customers, businesses, and institutions worldwide

• Maintains strong internal values emphasizing integrity, accountability, customer commitment, and inclusive growth

• Invests heavily in analytics, artificial intelligence, and advanced decision frameworks to power secure transactions

• Encourages leadership development, internal mobility, and cross functional exposure for employees

• Known for building technology driven risk mitigation systems that comply with global regulatory standards

• Focused on empowering employees through learning platforms, mentorship programs, and structured career paths

• Promotes diversity and equal opportunity employment across all global locations

Location:

Gurugram, Haryana, India

• Located within a major corporate and financial hub in India

• Exposure to global teams across multiple geographies

• Office environment designed for collaboration across analytics and compliance teams

• Access to hybrid working structure balancing remote flexibility with in office engagement

• Opportunity to engage with cross functional teams within global financial crime programs

Job type:

Full Time

• Permanent employment opportunity

• Structured corporate career progression

• Integrated within enterprise level risk and analytics function

• Long term role aligned with financial crime strategy initiatives

Job mode:

Hybrid

• Combination of remote and in office work

• Flexible attendance aligned with project requirements

• Designed to support productivity and work life balance

• Enables collaboration while maintaining flexibility

Job requisition id:

26000608

• Unique internal reference for application tracking

• Used for official recruitment and onboarding processes

Years of experience:

0 to 30 months

• Suitable for fresh graduates and early career professionals

• Accepts candidates with internships, academic research, or project based exposure in analytics

• Designed for individuals starting their professional journey in decision science and data science

• Encourages applicants from quantitative academic backgrounds

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Company description

• American Express is a global financial services organization committed to delivering secure and intelligent payment solutions

• The company operates across consumer cards, corporate cards, merchant services, and risk management platforms

• With a history spanning more than a century and a half, the organization has consistently invested in innovation within financial systems

• The enterprise is deeply rooted in a culture that prioritizes customer backing, ethical conduct, and responsible growth

• Decision making across the organization is powered by strong analytics infrastructure and closed loop data systems

• The firm operates a proprietary payments network, allowing real time visibility into transaction behavior and risk signals

• Through advanced analytics and artificial intelligence, the company strengthens fraud detection and Anti Money Laundering controls

• Employees are supported with structured learning resources, mentorship opportunities, and leadership exposure

• The organization promotes diversity, inclusion, and equal opportunity across global offices

• Focus remains on balancing innovation with regulatory compliance across all markets

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Profile overview:

• The Decision Science Analyst will operate within the Financial Crimes Decision Science Center of Excellence

• This function is responsible for enterprise wide financial crime risk management programs across all products and services

• The role involves developing automated monitoring rules and predictive models to detect suspicious transaction patterns

• Candidate will work on building and validating machine learning models used in Anti Money Laundering use cases

• Exposure to supervised and unsupervised learning approaches including anomaly detection methods

• Participation in deploying models into production and ensuring robust performance monitoring

• Collaboration with compliance units including Global Financial Crimes Compliance and Financial Intelligence teams

• Support in designing AI powered solutions that reduce manual investigative workload

• Contribute to optimizing risk adjusted mitigation strategies across product portfolios

• Present findings and analytical insights clearly to leadership and business partners

• Stay informed about evolving trends in finance, payments, analytics, and regulatory expectations

• Engage in end to end data science lifecycle including data extraction, feature engineering, modeling, validation, governance review, and monitoring

• Opportunity to work with emerging technologies including generative AI in regulated environments

• Expected to apply strong statistical reasoning and quantitative thinking to solve complex risk problems

• Role demands both independent initiative and collaborative teamwork across business functions

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Qualifications:

• Bachelor’s degree in Economics, Statistics, Computer Science, or related quantitative discipline

• Foundational exposure to data science, statistics, or analytics through academic or professional experience

• Proficiency in Python with experience in data science libraries for modeling and analysis

• Strong SQL skills for data extraction, transformation, and validation

• Solid understanding of probability, statistics, hypothesis testing, and mathematical modeling

• Familiarity with supervised and unsupervised machine learning techniques

• Knowledge of gradient boosting methods, anomaly detection approaches, or isolation forest models is advantageous

• Ability to structure ambiguous problems and convert them into data driven solutions

• Demonstrated capability to deliver projects aligned with measurable business outcomes

• Strong communication skills to translate complex analytical findings into simple business insights

• Ability to collaborate effectively in team based project environments

• Comfortable working with large, structured, and unstructured datasets

• Willingness to learn regulatory requirements related to Anti Money Laundering programs

• Basic understanding of version control tools such as git is preferred

• Awareness of model deployment workflows and monitoring practices is beneficial

• Exposure to coding standards, algorithm design, or high performance computing is an added advantage

• Interest in financial crime investigations and payment ecosystem analytics

• Ability to work independently on complex initiatives with minimal supervision

• Strong analytical curiosity and structured thinking approach

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Additional info:

• Competitive base compensation aligned with industry standards

• Performance linked bonus incentives

• Retirement and financial planning support programs

• Medical, dental, vision, life insurance, and disability coverage based on eligibility

• Hybrid working model providing flexibility between remote and office work

• Paid parental leave policies supporting employees and families

• Access to wellness centers in select locations

• Confidential counseling and mental wellness support through internal programs

• Structured career development resources including training sessions and leadership pathways

• Equal opportunity employer committed to fair hiring practices

• Employment subject to successful background verification in accordance with regulations

• Exposure to enterprise scale financial crime prevention initiatives

• Opportunity to work on real world AI and machine learning applications in compliance domain

• Collaboration with global stakeholders across multiple geographies

• Platform to build strong foundation in financial analytics and risk modeling

• Encouragement to maintain awareness of external industry trends and regulatory developments

• Inclusive culture that values diverse perspectives and ideas

• Strong internal governance framework ensuring responsible AI usage

• Long term career growth potential within analytics, risk, and compliance functions

Please click here to apply.