American Express

Analyst/Senior Analyst-Risk Management

Posted On

Dec. 3, 2024

Location

Gurugram, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Feb. 2, 2025

Job Description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

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
Excellent proficiency in Python (Data Science Related Libraries) and SQL
Experience in version control (git), model deployment, developer environments
Evidence of strong mathematical & statistics knowledge
24-48 months of experience in analytics, big data workstreams (0-30 months experience for Analyst Req)
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

A good understanding of AML Investigations, payments industry and decision science frameworks.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

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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