Role Overview

We are seeking an analytical and technically capable Analyst to support advanced financial intelligence initiatives using data analytics, machine learning, statistical modeling, and automated risk-detection methodologies.

The position sits across AI, fraud prevention, financial crime analytics, credit intelligence, transaction monitoring, customer behavior analysis, and regulatory technology, providing analytical insights that can improve financial decision-making and protect digital financial ecosystems.

Key Responsibilities

• Analyze large financial datasets to identify behavioral patterns, anomalies, and emerging risks.
• Develop analytical models for transaction monitoring and fraud detection.
• Support machine-learning initiatives designed to identify suspicious or abnormal financial activity.
• Build dashboards and analytical reports for operational and executive stakeholders.
• Examine customer transaction behavior and develop segmentation frameworks.
• Analyze payment activity, transaction velocity, account behavior, and risk indicators.
• Support credit-risk and financial-risk analytics initiatives.
• Assist in developing predictive models for fraud, customer churn, transaction risk, and operational performance.
• Perform statistical analysis and communicate findings through clear business intelligence reports.
• Work closely with cybersecurity, compliance, engineering, product, and risk-management teams.
• Monitor model performance and identify opportunities for improving analytical accuracy.
• Support the development of automated risk-scoring and decisioning systems.
• Translate complex datasets into practical recommendations for fintech products and operations.

Technical Competencies

• Python or R
• SQL
• Machine learning
• Statistical analysis
• Data visualization
• Predictive analytics
• Fraud analytics
• Risk modeling
• Transaction monitoring
• Financial data analysis
• Artificial intelligence
• Business intelligence

Ideal Profile
Candidates should have experience in data analytics, financial technology, banking, payments, risk, fraud prevention, business intelligence, or a related quantitative discipline. Strong analytical reasoning and the ability to convert complex financial datasets into actionable intelligence are essential.

Are you interested in this position?

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