Job Overview
LEAD — AI Fraud Detection & Transaction Intelligence
Location: Manama, Bahrain — Remote / GCC Technology Coverage
Seniority: Technical Lead / Data Leadership
Employment Type: Full-time, Permanent
Industry: Fintech • Artificial Intelligence • Fraud Prevention • Payments
The Mission
Lead the development of intelligent transaction-monitoring capabilities capable of detecting suspicious behaviour across high-volume digital financial environments.
The Lead will connect machine learning, transaction analytics and payment intelligence to create detection systems that become more accurate as new behavioural patterns emerge.
Responsibilities
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Lead development of machine-learning solutions for fraud detection.
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Design analytical frameworks for real-time transaction-risk assessment.
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Develop behavioural models for identifying unusual customer and payment activity.
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Collaborate with data scientists and engineers on production-grade detection systems.
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Analyse fraud patterns and translate them into new model features and detection strategies.
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Establish performance metrics for fraud models and monitoring systems.
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Analyse false positives, false negatives and detection gaps.
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Develop analytical dashboards for fraud and risk-management teams.
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Coordinate model testing, deployment and performance monitoring.
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Investigate emerging fraud typologies affecting digital payments.
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Mentor analysts and technical specialists working within the fraud-intelligence function.
Required Expertise
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7+ years in data science, fraud analytics, machine learning, payments or financial technology.
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Strong Python and SQL capabilities.
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Experience developing predictive or classification models.
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Strong understanding of transaction data and behavioural analytics.
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Experience with model validation and production deployment.
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Strong statistical and problem-solving skills.
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Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or a related discipline.
Technology Stack
Python | SQL | Machine Learning | Predictive Analytics | Anomaly Detection | Transaction Monitoring | Behavioural Modelling | Real-Time Analytics
Indicative Compensation: BHD 3,500–5,200 per month + benefits.
Expected Impact
Develop fraud-intelligence capabilities that detect threats earlier, reduce unnecessary transaction friction and continuously improve as the underlying data and threat landscape evolve.
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!
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