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American Express

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4.2

based on 3k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Large Company - 2024

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161 American Express Jobs

Analyst-Risk Management

American Express Company

4.2

based on 3k Reviews

1-10 years

Gurgaon / Gurugram

1 vacancy

Analyst-Risk Management

American Express

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Finance Data Analytics SQL Machine Learning Anti Money Laundering

+ 3 more

Job Description

You Lead the Way. We ve Got Your Back.

Join Team Amex and lets 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.

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