• Kathmandu
  • Views: 158
  • Deadline: 24th July 2024 ( 0 days left (s) )

Senior Fraud Data Analyst

Job Description

As a Senior Fraud Data Analyst, you will be responsible for researching and identifying fraud trends and future threats. You will focus on executing methodologies and processes to track and maintain the company's risk metrics in parallel with serving superb performance to our clients. You will also be responsible for detecting risk trends and leading the frontier of various types of fraud-fighting using the most advanced technologies, methodologies, and techniques.

Roles and Responsibilities:


  • Track fraud trends by analyzing accounts and transaction patterns. 
  • Analyze deep transactional and behavioral data patterns and trends and provide data insights. 
  • Research reasons for deviation from baseline, and collaborate with data science teams for taking corrective measures. 
  • Identify and foresee future fraud trends and patterns. 
  • Observe customer transactions to identify fraudulent activity. 
  • Design and develop an analytics infrastructure for researching scalable fraud. 


  • Accuracy
  • Computer Skills
  • Adaptability
  • Computer Science
  • Administration
  • Analytical
  • Build Rapport
  • Collaboration
  • Communication
  • Data Analysis
  • Reporting
  • Fraud / Risk Analysis
  • SQL Databases
  • Machine Learning
  • Detail-oriented
  • Problem-solving
  • Interpersonal
  • Organizational
  • Leadership
  • Python
  • Pandas Package

Job Specification

Roles and Responsibilities:

  • Bachelor’s degree from exact-sciences-related areas such as Statistics, Economics, Mathematics, Industrial engineering, Computer Science, or a related field.
  • Master's degree and or an active student for a Master’s degree—worked on or actively working on a thesis—an advantage
  • At least 4 years of experience as a data analyst.
  • Experience in fraud and risk analysis in payment fraud.
  • Experience in one of the following domains: Gaming, Gift cards, or crypto—an advantage
  • Significant experience in applying statistical techniques.
  • Strong proficiency in working with SQL databases.
  • Strong proficiency in Python and the Pandas package.
  • Understanding general concepts in the field of Machine learning is an advantage.
  • Excellent expression skills, both verbal and in writing in English, are a must.
  • Operative and creative thinking.
  • Ability to work in an operational, dynamic, multitasking environment.
  • Team player.


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Job Overview

Offered Salary

Not Disclosed


Male / Female

Career Level


Information Technology / Computer


More than or equal to 4 Year



Number of vacancy