Fraud Detection Specialist

Barclays Inc; Mumbai City; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary package

Professional development

Global career opportunities

Job summary

Barclays Inc. is seeking a Fraud Analyst to identify and mitigate fraudulent activities within the credit card portfolio. You will apply analytical techniques to detect and prevent fraudulent transactions and collaborate with multiple teams to enhance detection capabilities.

The role requires 1-2 years of fraud detection experience, a CS/Statistics-related degree, and proficiency with SQL, Python, or R. A competitive salary and professional growth opportunities accompany the position.

Qualifications

• Bachelor's degree in Computer Science, Statistics, or a related field.
• 1-2 years of experience in fraud detection or a related field.
• Strong understanding of fraud detection techniques and methodologies.
• Proficiency in data analysis tools such as SQL, Python, or R.
• Excellent analytical and problem-solving skills.

Responsibilities

• Identify and mitigate fraudulent activities within the credit card portfolio.
• Use advanced analytical techniques to detect and prevent fraudulent transactions.
• Develop and implement fraud detection models and strategies.
• Monitor transaction data for suspicious activity.
• Investigate suspected fraudulent transactions.
• Collaborate with other teams to improve fraud detection capabilities.
• Stay current on industry best practices and emerging fraud trends.
• Prepare reports on fraud activity and trends.

Skills

Analytical skills

Data analysis

Problem solving

Education

Bachelor's degree in CS/Statistics/related field

Tools

SQL

Python

R

Job description

What role you will play in team:

Identify and mitigate fraudulent activities within the credit card portfolio.

What you will do:

Use advanced analytical techniques to detect and prevent fraudulent transactions.

Key responsibility:

Develop and implement fraud detection models and strategies.

Monitor transaction data for suspicious activity.

Investigate suspected fraudulent transactions.

Collaborate with other teams to improve fraud detection capabilities.

Stay current on industry best practices and emerging fraud trends.

Prepare reports on fraud activity and trends.

Required Qualification and Skills:

• Bachelor's degree in Computer Science, Statistics, or a related field.
• 1-2 years of experience in fraud detection or a related field.
• Strong understanding of fraud detection techniques and methodologies.
• Proficiency in data analysis tools such as SQL, Python, or R.
• Excellent analytical and problem-solving skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• A challenging and rewarding work environment.
• Global career opportunities.

A Day in the Life:

A typical day involves monitoring transaction data, investigating suspicious activity, developing fraud detection models, and collaborating with other teams. .