Position Overview

The Analyst will use advanced data analytics, artificial intelligence, statistical techniques, and financial intelligence methodologies to support risk management across digital financial services.

This position will focus on transforming large volumes of transactional and customer data into actionable intelligence. The successful candidate will contribute to fraud detection, financial-risk analysis, automated monitoring, predictive analytics, and intelligent decision-support systems.

Key Responsibilities

• Analyze transaction and customer datasets to identify unusual patterns and behavioral anomalies.
• Develop analytical models for fraud detection and transaction-risk assessment.
• Support machine-learning initiatives designed to identify emerging financial risks.
• Create risk indicators and analytical frameworks for fintech platforms.
• Analyze payment behavior, transaction velocity, account activity, and customer segmentation.
• Develop dashboards and management reports presenting financial-risk intelligence.
• Support automated monitoring and RegTech initiatives.
• Evaluate the effectiveness and accuracy of analytical and machine-learning models.
• Work with data scientists and engineers to improve predictive models.
• Identify patterns that may indicate fraud, account abuse, payment manipulation, or operational risk.
• Support credit-risk, liquidity-risk, operational-risk, and transaction-risk analytics where required.
• Collaborate with cybersecurity, compliance, product, engineering, and financial-operations teams.
• Translate complex datasets into concise recommendations for decision-makers.
• Maintain appropriate documentation for analytical methodologies, assumptions, models, and performance metrics.

Technical Competencies

• Python
• SQL
• Machine learning
• Statistical analysis
• Data visualization
• Predictive analytics
• Fraud analytics
• Risk modeling
• Financial data analysis
• RegTech
• Transaction monitoring
• Business intelligence
• Data-quality management

Candidate Profile

The ideal candidate will have professional experience in data analytics, AI, fintech, banking, payments, fraud prevention, risk management, or regulatory technology. Strong quantitative reasoning and the ability to communicate complex analytical findings to both technical and non-technical stakeholders are essential.

Are you interested in this position?

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