Fraud Detection Specialist

Mastercard; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Career growth

Impactful project

Collaborative environment

Job summary

Mastercard is seeking a data-driven professional to join our fraud prevention team in India. You will develop and implement fraud detection models using Python or R, analyze transaction data, and collaborate with cross-functional teams to strengthen security across payment flows.

You will monitor model performance, stay current with new fraud techniques, and translate insights into actionable improvements for safeguarding customers and merchants.

Qualifications

• Bachelor's degree in computer science, statistics, or a related field.
• Experience in fraud detection or a related field.
• Proficiency in Python or R and machine learning libraries.
• Strong analytical and problem-solving skills.
• Understanding of financial transactions and fraud prevention techniques.

Responsibilities

• Develop and implement fraud detection models and provide insights to improve our fraud prevention capabilities.
• Analyze transaction data to identify patterns of fraudulent activity.
• Monitor model performance and identify areas for improvement.
• Collaborate with cross-functional teams to implement fraud prevention measures.
• Stay up-to-date on the latest fraud detection techniques.

Skills

Python or R & ML libraries

Analytical & problem-solving

Fraud prevention techniques

Education

Bachelor's degree in CS/Statistics or related field

Job description

What role you will play in team

You will work to detect and prevent fraudulent transactions by applying machine learning techniques.

What you will do

• Develop and implement fraud detection models and provide insights to improve our fraud prevention capabilities.
• Analyze transaction data to identify patterns of fraudulent activity.
• Monitor model performance and identify areas for improvement.
• Collaborate with cross-functional teams to implement fraud prevention measures.
• Stay up-to-date on the latest fraud detection techniques.

Key responsibility

• Develop and implement machine learning models for fraud detection.

Required Qualification and Skills

• Bachelor's degree in computer science, statistics, or a related field.
• Experience in fraud detection or a related field.
• Proficiency in Python or R and machine learning libraries.
• Strong analytical and problem-solving skills.
• Understanding of financial transactions and fraud prevention techniques.

Benefits Included

• Competitive salary and benefits.
• Opportunities for career growth and development.
• Work on a challenging and impactful project.
• A collaborative and supportive work environment.

A Day in the Life

Youll be analyzing transaction data, building models, and working with other teams to protect our customers from fraud.