Full Time

LEAD AI FRAUD DETECTION ENGINEER

  • Remote
  • Specialism : Artificial Intelligence, Cybersecurity, Fraud
  • Post Date: July 18, 2026
  • Expires In : 91 Days
  • Apply Before: October 18, 2026
Job Overview

LEAD AI FRAUD DETECTION ENGINEER

πŸ“ Location: Doha, Qatar

🌍 Work Model: Hybrid | Enterprise Technology & Risk Division

πŸ’Ό Employment Type: Full-Time | Permanent

🏦 Industry: FinTech | Artificial Intelligence | Cybersecurity | Fraud Prevention | Machine Learning


Build Intelligent Defences for the World’s Fastest-Growing Financial Platforms

An internationally respected fintech organization is investing in advanced artificial intelligence to strengthen fraud prevention capabilities across digital banking, payment platforms, lending ecosystems, and financial applications.

As Lead AI Fraud Detection Engineer, you will design intelligent fraud prevention platforms capable of detecting financial anomalies in real time, reducing operational risk, and protecting millions of customer transactions using advanced machine learning, behavioural analytics, and predictive intelligence.


Key Responsibilities

Artificial Intelligence

  • Design AI-powered fraud detection models.
  • Develop predictive behavioural analytics.
  • Improve anomaly detection algorithms.
  • Build intelligent risk scoring systems.
  • Optimize fraud prevention accuracy.

Engineering

  • Develop scalable machine learning pipelines.
  • Integrate AI services into enterprise platforms.
  • Optimize model performance.
  • Build secure APIs for fraud intelligence.
  • Improve platform scalability.

Security & Risk

  • Support enterprise fraud investigations.
  • Enhance transaction monitoring.
  • Strengthen cybersecurity collaboration.
  • Improve threat intelligence capabilities.
  • Maintain operational resilience.

Technical Leadership

  • Mentor machine learning engineers.
  • Define AI engineering standards.
  • Collaborate with cybersecurity teams.
  • Lead proof-of-concept initiatives.
  • Evaluate emerging AI technologies.

Professional Requirements

  • Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or related field.
  • 8–12 years of experience in AI, machine learning, cybersecurity, or fintech engineering.
  • Strong expertise in Python, TensorFlow, PyTorch, SQL, cloud computing, distributed systems, and data engineering.
  • Experience with fraud analytics, predictive modelling, and enterprise-scale AI deployment.

Compensation & Benefits

  • Attractive tax-free salary
  • Annual performance bonus
  • Housing allowance
  • Family medical insurance
  • Flexible hybrid working arrangement
  • Sponsored AI certifications
  • Annual learning and innovation budget
  • International conference participation
  • Long-term career progression within a globally expanding fintech enterprise
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Are you excited about this opportunity?

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

Β Apply now by clicking on the β€œApply Now” button below.Β 

Let’s shape the future of finance together!

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Anticipate Fintech (HK) Ltd
About Us We innovate with the needs of those who have historically been marginalized in mind. We have created a business model that is socially inclusive and offers goods and services to everyone. info@anticipatehk.comWebsite www.anticipatehk.com
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