Fraud Strategy/ Modeling

EXL; Gurugram District; On-site; INR 600,000 - 800,000; Full time

Job summary

EXL is seeking a motivated Fraud & Risk Analyst to join their team in Gurugram, Haryana. The role focuses on identifying and mitigating fraudulent activities and supporting risk management through data analysis.

The ideal candidate will monitor transaction data, assist in fraud detection strategies, and collaborate with teams to enhance fraud prevention measures. A Bachelor's degree and 2 years of experience in analytics is required.

Qualifications

• Bachelor's degree in finance, Economics, Data Science, or related field.
• 2+ years of experience in Analytics, Banking, or Risk Analytics preferred.
• Strong analytical skills and attention to detail.
• Proficiency in data analysis tools like Excel, SQL, Python, or SAS.
• Understanding of Credit Cards & fraud detection techniques.
• Excellent communication and teamwork skills.
• Ability to work in a fast-paced environment.

Responsibilities

• Monitor and analyze transaction data to identify potential fraud patterns.
• Assist in the development and implementation of fraud detection strategies.
• Conduct preliminary investigations into suspicious activities.
• Prepare reports and documentation for fraud cases.
• Collaborate with senior analysts and departments for fraud prevention.
• Stay updated with industry trends in fraud detection.

Skills

Analytical skills

Attention to detail

Data analysis tools (Excel, SQL, Python, SAS)

Communication skills

Teamwork

Education

Bachelor’s degree in finance, Economics, Data Science

Tools

Excel

SQL

Python

SAS

Job description

Job Description

We are seeking a motivated and detail-oriented Fraud & Risk Analyst to join our team. The ideal candidate will assist in identifying and mitigating fraudulent activities, analyzing transaction data, and supporting the overall risk management process.

Responsibilities

• Monitor and analyze transaction data to identify potential fraud patterns.
• Assist in the development and implementation of fraud detection strategies.
• Conduct preliminary investigations into suspicious activities.
• Prepare reports and documentation for fraud cases.
• Collaborate with senior analysts and other departments to enhance fraud prevention measures.
• Stay updated with industry trends and best practices in fraud detection.

Requirements

• Bachelor’s degree in finance, Economics, Data Science, or related field.
• 2+ years of experience in Analytics, Banking or Risk Analytics preferably
• Strong analytical skills and attention to detail.
• Proficiency in data analysis tools (e.g., Excel, SQL, Python, SAS).
• Basic understanding of Credit Cards & fraud detection techniques.
• Excellent communication and teamwork skills.
• Ability to work in a fast-paced environment.