Data Science Analyst – Risk & Fraud ML (Hybrid)

RiseWithVishwas; Hinoba-an; Hybrid; PHP 1,592,000 - 2,123,000; Full time

Job summary

American Express in India is seeking an Analyst in Data Science within the Credit and Fraud Risk Center of Excellence. The role is hybrid in Gurugram or Bengaluru and focuses on building, deploying, and validating machine learning models for underwriting, risk, and fraud management.

The candidate will work with big data, predictive modeling, and data-driven insights to support global markets and senior leadership across functions.

Qualifications

• 2-4 years of experience in data science, risk analytics, or related field.
• MBA or Master’s in quantitative field required.
• Proficiency in Python/SAS/R/SQL and big data tools is preferred.

Responsibilities

• Develop, deploy, and validate predictive ML models for risk management, fraud detection, and customer acquisition.
• Analyze large structured and unstructured datasets to derive actionable insights.
• Engineer predictive attributes to enhance model accuracy across channels.
• Translate algorithmic outcomes into business narratives for stakeholders.
• Collaborate with global analytics, engineering, and business partners to productionize models.

Education

MBA / Master’s in Quantitative Field

Tools

Python

SAS

R

SQL

PySpark

Hive

MapReduce

HPC

Job description

American Express in India is seeking an Analyst in Data Science within the Credit and Fraud Risk Center of Excellence. The role is hybrid in Gurugram or Bengaluru and focuses on building, deploying, and validating machine learning models for underwriting, risk, and fraud management.

The candidate will work with big data, predictive modeling, and data-driven insights to support global markets and senior leadership across functions.