Full Time

AI-Driven Fraud Analytics & Risk Intelligence Lead

  • Remote
  • Specialism :
  • Post Date: April 13, 2026
  • Expires In : 12 Days
  • Apply Before: July 13, 2026
Job Overview

Job Title: Remote AI-Driven Fraud Analytics & Risk Intelligence Lead

Location: Remote (Saudi Arabia Market Focus)

Employment Type: Full-Time

Domain: AI / Fraud Detection / Risk Intelligence


Role Narrative

As fintech ecosystems expand, the complexity of fraud risks continues to evolve. This role is designed for a professional who can combine advanced analytics, artificial intelligence, and financial risk expertise to detect, prevent, and mitigate fraudulent activities across digital financial platforms.

The AI-Driven Fraud Analytics & Risk Intelligence Lead will take ownership of fraud detection strategies, leveraging machine learning models and real-time data analysis to safeguard financial transactions.


Core Responsibilities

Fraud Analytics & Detection

  • Develop and deploy machine learning models to detect fraudulent transactions.
  • Analyze large-scale financial datasets to identify suspicious patterns.
  • Continuously refine fraud detection algorithms for improved accuracy.

Risk Intelligence

  • Build risk scoring systems for transactions and user behavior.
  • Monitor emerging fraud trends within the fintech ecosystem.
  • Provide actionable intelligence to risk and compliance teams.

Technology & Implementation

  • Work with data engineers to integrate AI models into production systems.
  • Ensure real-time monitoring capabilities for transaction security.
  • Optimize model performance and scalability.

Collaboration & Reporting

  • Partner with compliance, product, and engineering teams.
  • Present insights and risk reports to stakeholders.

Required Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, or related field.
  • 5–8 years of experience in fraud analytics, risk management, or fintech AI solutions.
  • Strong proficiency in Python, machine learning frameworks, and data analysis tools.

Technical Skills

  • Machine learning (classification, anomaly detection).
  • Data processing and analytics (SQL, Python).
  • Knowledge of financial transaction systems and fraud typologies.

Preferred Experience

  • Experience in fintech or digital banking environments.
  • Familiarity with AI-based fraud prevention tools.

Work Environment

  • Fully remote with high technical collaboration.
  • Innovation-driven culture with focus on advanced analytics.

Compensation & Benefits

  • Competitive international salary.
  • Performance-based bonuses linked to fraud reduction metrics.
  • Access to advanced AI tools and continuous learning programs.

Are you excited about this opportunity?

Don’t miss the chance to make a difference in the fintech and FX industry!

 Apply now by clicking on the “Apply Now” button below.

Let’s shape the future of finance together!

#EmploySolutionJobs #FXCareers.

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