Job Overview
SPECIALIST
AI, FRAUD INTELLIGENCE & FINANCIAL RISK ANALYTICS
Location: Oman — Remote with GCC Regional Scope
Seniority Level: Senior Specialist / Intelligence & Analytics
Employment Type: Full-time, Permanent
Industry Focus: Fintech, AI, Fraud Analytics, Financial Risk, Machine Learning, Digital Banking
TURN ANOMALIES INTO ADVANTAGE
An outstanding opportunity is available for a Specialist with a rare combination of analytical depth, financial intelligence and technological curiosity.
The role is centred on one of fintech’s most consequential challenges:
How do you distinguish legitimate financial behaviour from signals of emerging risk—before the problem becomes material?
You will work at the intersection of artificial intelligence, transaction intelligence, behavioural analytics and financial-risk strategy, helping create analytical systems capable of detecting patterns that conventional approaches may overlook.
INTELLIGENCE MANDATE
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Develop analytical frameworks for identifying unusual financial behaviour.
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Design and improve transaction-monitoring strategies.
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Apply statistical techniques and machine-learning concepts to financial datasets.
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Develop behavioural models for customer and transaction analysis.
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Investigate anomalies and identify underlying patterns.
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Work with data scientists and engineers to enhance analytical models.
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Develop risk indicators and early-warning frameworks.
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Evaluate model performance through measurable analytical metrics.
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Reduce unnecessary intervention through intelligent risk segmentation.
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Analyze transaction patterns across multiple channels.
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Produce executive-level intelligence reports.
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Translate complex analytical findings into practical business recommendations.
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Support continuous improvement of financial-risk systems.
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Monitor emerging fraud patterns and technological attack vectors.
ANALYTICAL TOOLKIT
The role may involve:
Machine Learning • Statistical Modelling • Predictive Analytics • Anomaly Detection • Behavioural Analytics • Transaction Intelligence • Data Mining • Python • SQL • Data Visualization • Model Performance Analysis
THE IDEAL CANDIDATE
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5+ years of experience in financial analytics, fraud intelligence, fintech, banking, risk analytics or data science.
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Strong quantitative and analytical reasoning.
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Practical knowledge of statistical analysis and predictive modelling.
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Experience working with large financial or transactional datasets.
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Strong SQL and analytical-programming capability.
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Understanding of machine-learning methodologies.
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Ability to distinguish statistical significance from operational relevance.
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Excellent investigative and problem-solving skills.
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Strong communication skills with both technical and non-technical stakeholders.
THE DIFFERENCE
The most valuable signal in financial data is often the one that appears insignificant.
A transaction that deviates slightly.
A behavioural pattern that changes gradually.
A sequence of events that looks ordinary individually—but extraordinary collectively.
Your responsibility will be to find those signals, understand them and turn them into actionable intelligence.
This is an opportunity to become part of the analytical layer protecting and strengthening the next generation of digital finance.
Compensation: Competitive specialist-level package reflecting analytical expertise, technical capability and strategic importance.
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.
