Full Time

Real-Time Fraud Detection & Financial Intelligence Engineer

  • Remote
  • Specialism : Engineer, Fraud, Machine Learning, Machine Learning Engineer
  • Post Date: August 10, 2026
  • Expires In : 92 Days
  • Apply Before: November 10, 2026
Job Overview

🇶🇦 QATAR

ENGINEER

Real-Time Fraud Detection & Financial Intelligence Engineer

Location: Qatar — Remote / GCC Regional Coverage
Seniority Level: Senior / Advanced Technical Professional
Employment Type: Full-time, Permanent
Industry Focus: Fintech • Fraud Detection • Machine Learning • Transaction Intelligence • Data Engineering • Cybersecurity

CATCH THE PATTERN BEFORE THE DAMAGE.

Financial transactions generate enormous volumes of data.

Hidden within that data are signals:

Behavioral deviations.
Unusual transaction sequences.
Unexpected relationships.
Velocity changes.
Geographic anomalies.
Account interactions.

We are seeking a technically sophisticated Real-Time Fraud Detection & Financial Intelligence Engineer to engineer systems capable of finding those signals at speed.

This position combines software engineering, machine learning, streaming data, behavioral analytics and financial intelligence.

THE ENGINEERING MISSION

STREAM

Build infrastructure capable of processing transaction events in real time.

ANALYZE

Develop analytical pipelines that transform raw events into meaningful features and signals.

DETECT

Engineer models and systems capable of identifying unusual transactional behavior.

SCORE

Develop intelligent mechanisms for evaluating transaction-level risk.

LEARN

Continuously improve detection capabilities using model performance and emerging behavioral patterns.


CORE RESPONSIBILITIES

  • Design real-time transaction-monitoring infrastructure.

  • Develop streaming data pipelines.

  • Engineer machine-learning features for fraud analytics.

  • Build anomaly-detection systems.

  • Integrate predictive models into transaction workflows.

  • Develop high-performance APIs and services.

  • Optimize data-processing latency.

  • Establish model-monitoring and performance frameworks.

  • Collaborate with data scientists, cybersecurity professionals and product engineers.

  • Investigate emerging fraud patterns through data analysis.

  • Develop analytical dashboards and intelligence services.

  • Improve system scalability, reliability and observability.

TECHNICAL ENVIRONMENT

Python | Java | SQL | Kafka | Spark | Machine Learning | Stream Processing | REST APIs | Microservices | Cloud | Docker | Kubernetes | Feature Engineering | Anomaly Detection | Data Engineering

THE ENGINEER WE SEEK

You are an engineer who enjoys solving problems where technology, mathematics and financial behavior intersect.

Experience with real-time systems, machine learning, payment infrastructure, fraud technology, cybersecurity or financial-data engineering is highly desirable.

A strong candidate will understand not only how to build a model, but how to deploy, monitor and continuously improve that model inside a high-performance financial environment.

Compensation: Highly competitive technical package with performance incentives, benefits and opportunities for advancement.

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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