We are seeking a detail-oriented and analytical Fraud Detection Specialist to join our team. The ideal candidate will be responsible for identifying, investigating, and preventing fraudulent activities across digital platforms, financial transactions, and customer accounts. You will leverage data analysis, fraud detection tools, machine learning insights, and risk assessment techniques to minimize fraud while ensuring a seamless customer experience.
Key Responsibilities
Monitor and analyze transactions to identify suspicious or fraudulent activities.
Investigate fraud alerts and conduct detailed case reviews.
Develop and implement fraud detection rules, models, and monitoring strategies.
Analyze large datasets to identify emerging fraud patterns and trends.
Collaborate with Data Science, Compliance, Cybersecurity, and Engineering teams to improve fraud prevention systems.
Perform root cause analysis of fraud incidents and recommend preventive measures.
Monitor payment systems, account takeovers, identity theft, and transaction fraud.
Generate daily, weekly, and monthly fraud reports and dashboards.
Optimize fraud detection algorithms to reduce false positives.
Ensure compliance with regulatory requirements and internal risk management policies.
Support investigations by documenting findings and maintaining accurate records.
Stay updated with the latest fraud techniques, cyber threats, and industry best practices.
Required Qualifications
Bachelor’s degree in Computer Science, Data Science, Information Technology, Finance, Cybersecurity, Statistics, or a related field.
2–5 years of experience in fraud detection, risk analysis, financial crime, or cybersecurity.
Strong understanding of fraud prevention methodologies and risk management.
Experience with SQL for querying and analyzing transactional data.
Knowledge of Python or R for data analysis and fraud modeling.
Familiarity with fraud detection platforms and case management systems.
Experience with payment fraud, identity verification, AML, or KYC processes is a plus.
Excellent analytical, investigative, and problem-solving skills.
Strong communication and documentation abilities.
Preferred Skills
Fraud Analytics
Transaction Monitoring
Risk Assessment
SQL
Python
Machine Learning Basics
Data Visualization (Power BI or Tableau)
Excel (Advanced)
Statistical Analysis
Pattern Recognition
Financial Crime Investigation
AML & KYC
Digital Payments
Cybersecurity Fundamentals
Technical Skills
SQL
Python
Power BI / Tableau
Excel
Jupyter Notebook
Fraud Detection Systems
Data Analytics Tools
Machine Learning Models
REST APIs (Preferred)
Cloud Platforms (AWS, Azure, or GCP) – Preferred
Competitive salary and performance-based incentives.
Health, dental, and vision insurance.
Paid time off and company holidays.
Flexible work environment.
Learning and certification reimbursement.
Career growth opportunities.
Collaborative and innovative work culture.
Why Join Us?
Join a team dedicated to protecting customers and businesses from financial fraud. You’ll work with cutting-edge analytics, AI-powered fraud detection technologies, and experienced professionals to build secure, data-driven fraud prevention solutions while making a meaningful impact on business integrity and customer trust.
