Overview
About American Express
American Express is a global leader with a 175-year legacy of innovation, values, and leadership. The company is committed to empowering its customers, communities, and employees with strong support, career development opportunities, and a focus on holistic well-being.
Role Overview
The Analyst - Data Science position is part of the Financial Crimes Decision Science and Analytics Centre of Excellence. This team develops and optimizes automated transaction monitoring rules, reports, and processes to detect potential financial crimes across global products and services. Leveraging AI and machine learning, the team supports anti-money laundering (AML) investigations and enhances risk mitigation strategies.
Key Responsibilities
- Design, deploy, and validate predictive models for AML use cases.
- Analyze large datasets to generate business insights and innovative solutions.
- Apply supervised and unsupervised techniques such as isolation forest and gradient boosting.
- Develop use cases using emerging technologies like Generative AI.
- Monitor model performance with internal tracking tools.
- Collaborate with GFCC, FIU, and CFR teams to address requirements.
- Create end-to-end data science solutions and ensure governance approvals.
- Utilize Amex's closed-loop network for intelligent decision-making.
- Present project findings to leadership and stakeholders.
- Stay updated on developments in finance, payments, and analytics.
Minimum Qualifications
- 0-30 months of experience in data science or statistics.
- Strong proficiency in Python (data science libraries) and SQL.
- Solid foundation in mathematics and statistics.
- Bachelor’s degree in Economics, Statistics, Computer Science, or related fields.
- Strong communication and teamwork skills.
- Ability to work independently on complex projects.
Preferred Qualifications
- Experience in coding, algorithms, and high-performance computing.
- Knowledge of version control (Git), model deployment, and developer environments.
- Understanding of AML investigations, payments industry, and decision science frameworks.
Benefits
- Competitive base salary and bonus incentives.
- Comprehensive medical, dental, vision, life insurance, and disability coverage.
- Flexible working arrangements (hybrid, onsite, or virtual).
- Paid parental leave and wellness programs.
- Career development and training opportunities.
Equal Opportunity
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected status.
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Key Skills
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Education Requirements
- Bachelor’s degree in Economics, Statistics, Computer Science, or related fields
Eligible Batch Years
American Express
American Express Company (Amex) is a globally recognized multinational financial services corporation, founded in 1850 and headquartered in New York City, USA. Known for its premium charge cards, credit cards, and travel-related services, American Express has built a reputation for exceptional customer service, strong brand loyalty, and catering to affluent consumers and businesses. The company's mission is to provide trusted, innovative payment, travel, and expense management solutions that enrich the lives of its customers and help them achieve their goals.
With over 60,000 employees worldwide, American Express operates in more than 130 countries, serving millions of cardholders and merchants. It consistently ranks among the world's most valuable brands and is recognized for its commitment to diversity, sustainability, and digital innovation. Recent achievements include expanding its digital payment capabilities, forging strategic partnerships in fintech, and enhancing rewards programs to meet evolving customer needs. American Express continues to play a leading role in shaping the future of global payments and financial services.
Company Details
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Websiteamericanexpress.com