Fraud Detection Specialist

INFOEXESY; Chennai District; On-site; INR 500,000 - 900,000; Full time

Benefits offered by this job

Competitive salary and comprehensive  

Professional development opportunities

Collaborative team environment

Opportunities for career growth

Medical, Dental & Vision insurance

Job summary

INFOEXESY is seeking a fraud detection analyst to be a critical member of the team, responsible for identifying and mitigating financial fraud risks across banking operations.

You will analyze transaction data, identify suspicious patterns, and implement preventative measures to reduce fraud losses, while developing models and collaborating with other departments.

Qualifications

• Bachelor's degree in CS/Statistics/Finance or related field.
• 1–2 years of fraud detection experience or related field preferred.
• Strong analytical and problem-solving skills required.
• Proficiency in data analysis tools like SQL and Python.
• Understanding of ML techniques preferred.

Responsibilities

• Analyze transaction data to identify potentially fraudulent activities.
• Develop and maintain fraud detection models and algorithms.
• Investigate suspicious transactions and prepare reports.
• Collaborate with other departments to implement fraud prevention strategies.
• Stay up-to-date on emerging fraud trends and technologies.
• Maintain accurate records of all fraud investigations and actions taken.

Skills

Analytical skills

Problem-solving

Communication

SQL

Python

Education

Bachelor's degree in a related field

Tools

SQL

Python

Job description

What role you will play in team:

You will be a critical member of our fraud detection team, responsible for identifying and mitigating financial fraud risks across various banking operations.

What you will do:

You will analyze transaction data, identify suspicious patterns, and implement preventative measures to reduce fraud losses.

Key responsibility:

• Analyze transaction data to identify potentially fraudulent activities.
• Develop and maintain fraud detection models and algorithms.
• Investigate suspicious transactions and prepare reports.
• Collaborate with other departments to implement fraud prevention strategies.
• Stay up-to-date on emerging fraud trends and technologies.
• Maintain accurate records of all fraud investigations and actions taken.

Required Qualification and Skills:

• Bachelor's degree in a related field (e.g., Computer Science, Statistics, Finance).
• 1-2 years of experience in fraud detection or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools (e.g., SQL, Python).
• Understanding of machine learning techniques (preferred).
• Excellent communication skills.

Benefits Included:

• Competitive salary and comprehensive benefits.
• Professional development opportunities.
• Collaborative team environment.
• Opportunities for career growth.
• Medical, Dental & Vision insurance.

A Day in the Life:

Youll analyze transaction data, use fraud detection tools, investigate suspicious activity, and collaborate with other teams to improve prevention strategies. .