Senior Analyst Fraud and Scams

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Role Overview

Senior Analyst Fraud and Scams

This role provides a unique opportunity to apply advanced analytics, statistical techniques, and machine learning approaches to strengthen fraud detection capabilities while influencing business decisions and improving customer safety at scale.

Key Responsibilities

• Design, develop, and maintain

  data features

  used in fraud and scam detection models.
• Enhance and optimize analytical scripts to improve feature accuracy, stability, and performance.
  
• Perform deep-dive analysis on large, complex datasets to identify fraud patterns, emerging scam typologies, and anomalies.
  
• Collaborate with analytics teams to ensure effective implementation of fraud detection strategies.
  
• Work closely with

  Data Scientists and rule writers

  to translate analytical insights into actionable fraud controls.
• Use self-service analytics tools to

  schedule, monitor, and maintain scripts

  for ongoing fraud monitoring and reporting.
• Apply knowledge of

  fraudster behavior and scam psychology

  to improve detection logic and reduce false positives.
• Support validation, testing, and deployment of analytics assets in real-time and near real-time environments.
  

Analytics & Technical Skills

• Strong hands-on experience with

  Python, SQL

  , and

  advanced Excel

  for data analysis and modeling.
• Working knowledge of

  R

  is an added advantage.
• Experience applying

  statistical methods and machine learning techniques

  for predictive modeling and risk mitigation.
• Ability to develop, validate, and deploy predictive models to forecast trends, detect anomalies, and optimize fraud operations.
  
• Familiarity with AI-enabled tools or virtual assistants to enhance analytical productivity.
  
• Understanding of

  data engineering concepts

  , including data pipelines and feature generation, is beneficial.

Required Experience & Competencies

• 6+ years of experience in

  Data Analytics

  , preferably within fraud, risk, compliance, or BFSI domains.
• Strong analytical mindset with the ability to solve complex problems creatively and independently.
  
• Demonstrated understanding of fraud and scam behaviors, tactics, and evolving threat patterns.
  
• Proven ability to collaborate effectively with cross-functional stakeholders and senior leadership.
  
• Strong communication skills to translate complex analytical findings into actionable business insights.
  
• Ability to work in fast-paced, high-volume, real-time analytics environments.
  

Education

• Bachelor’s or Master’s degree in a numerate, engineering, or IT-based discipline, such as:
  
• Computer Science
  
• Data Science
  
• Statistics
  
• Applied Mathematics
  
• Actuarial Science
  
• Information Technology
  

Why Join Us

• Work on

  large-scale, real-time fraud and scam detection systems

  with enterprise-wide impact.
• Collaborate with experienced analytics and data science professionals in a mission-critical environment.
  
• Gain exposure to advanced fraud analytics, machine learning applications, and modern data platforms.
  
• Make a meaningful difference by protecting customers and strengthening financial security.