Analyst - Decision Science at American Express Company South Africa

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Mathematical Knowledge, Statistics Knowledge, Model Development, Model Deployment, Model Validation, Isolation Forest, Gradient Boosting, GenAI, Model Performance Monitoring, Data Science Solutions, Big Data, Machine Learning, Git, Algorithm

Industry

Financial Services

Description

You Lead the Way. We’ve Got Your Back. At American Express, our culture is built on a 175-year history of innovation, shared Values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Team Amex and let's lead the way together. Overview of Business: The Center of Excellence (CoE) dedicated to Financial Crimes Decision Science and Analytics is responsible for the Enterprise-Wide financial crime risk management related programs across all our products and services globally. The team develops, implements, monitors and optimizes the automated transaction monitoring rules, reports, and other processes crafted to identify activity potentially indicative of financial crime behavior that is important from regulator view. By leveraging AI and ML Models, the Data Science team of the CoE has been a pioneer of the innovation. These models are intended to support and automate decision making for investigators, reducing time and effort spent in the Anti-Money Laundering Efforts of the firm. These innovative enhancements are critical input into making risk adjusted AML mitigation strategies across product and portfolios How will you make an impact in this role? Responsible for development, deployment, and validation of predictive model(s) and supporting use of models in AML usecases Understand the AML Program of AXP and the levers behind various decisions Analyze large amounts of data to derive business insights and create innovative solutions Leverage various traditional Unsupervised and supervised techniques, including isolation forest and gradient boosting methods Setup and develop usecases leveraging emerging technologies like GenAI Setup and monitor model performance using internal trackers and smart monitoring Working closely with GFCC, FIU, CFR capabilities teams to understand their requirements and provide solutions. Develop end-to-end data science solutions and work with internal governance team to get them approved Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant Innovate with a focus on developing newer and better approaches using big data & machine learning solution Clear articulation and structuring of project findings across to the leadership and key partners Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc Minimum Qualifications A strong balance of technical knowledge and discernment with a proven track record of driving innovation and business metrics. Decision Science related work experience is highly desired 0-30 months of work experience in data science or statistics related field Excellent proficiency in Python (Data Science Related Libraries) and SQL Evidence of strong mathematical & statistics knowledge Ability to drive project deliverables to achieve business results Ability to work effectively in a team environment Strong communication and interpersonal skills Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives Bachelor’s Degree In Economics, Statistics, Computer Science Or related fields Preferred Qualifications Expertise in Coding, Algorithm, High Performance Computing Experience in version control (git), model deployment, developer environments A good understanding of AML Investigations, payments industry and decision science frameworks We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities 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 status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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Responsibilities

This role is responsible for the development, deployment, and validation of predictive models for Anti-Money Laundering (AML) use cases, leveraging AI and ML to automate decision-making for investigators. The individual will also analyze large datasets to derive insights, set up use cases with emerging technologies like GenAI, and monitor model performance.