Fraud Data Scientist

K2 Integrity is looking for a highly energetic and experienced Fraud Prevention Data Scientist to join our Financial Crimes Risk Management practice in the Middle East. While you will play a crucial role in analyzing financial data to identify and prevent fraudulent activities, your strong programming skills in Python (and potentially SAS) along with your expertise to tell data-driven stories will be leveraged in other exciting financial crime projects. This is an excellent opportunity to apply your analytical skills and fraud prevention knowledge to protect our clients and contribute to the integrity of the financial system.
Responsibilities

• Fraud Prevention: Apply your knowledge of fraud schemes and emerging typologies to develop and refine fraud detection models and rules.
• Data Analytics: Identify minimum data quality to conduct in-depth analysis of financial datasets to identify patterns, anomalies, and potential indicators of fraud.
• Rules/Controls Optimization: Fine-tune fraud rules and parameters to achieve an optimal balance between minimizing false positives and maximizing true positive detection.
• Accuracy Testing: Implement and evaluate model performance using ROC curves, precision-recall curves, and cost-based analysis.
• Programming/Querying: Leverage Python and SQL (and potentially SAS or VBA) to automate data extraction, cleaning, transformation, and analysis processes.
• Reporting & Data Storytelling: Craft clear, concise reports and presentations that transform complex data insights into compelling narratives to inform decision-making.
• Collaboration: Work collaboratively with other data analysts, financial crime experts, and stakeholders to share insights and coordinate efforts.
• Continuous Learning: There’s no learning curve, it’s an infinite learning process. Stay up-to-date with the latest trends and techniques in fraud prevention, data analysis, financial crime, programming and AI.
• Problem solving: Demonstrate agility and adaptability in addressing diverse challenges, even those outside the realm of data science.
• Resilience: Thrive in a fast-paced, demanding environment with evolving priorities and ambiguity.
• Project Management: Exercise sound judgment to prioritize and manage multiple projects independently.
• Work Ethics: Maintain the highest ethical standards, prioritizing integrity and timely delivery of high-quality work.

Qualifications

• Bachelor's Degree: In a quantitative field such as Data Science, Statistics, Mathematics.
• Programming Skills: Proficiency in Python (SAS, VBA would be a plus).
• Fraud Prevention Experience: Proven experience in fraud analytics (Relevant certifications in data analysis or fraud prevention (e.g., CFE) would be an advantage).

About K2 Integrity
K2 Integrity helps clients understand and manage risk so they can lead with confidence in a complex world—and build organizations that are safer, more transparent, and more resilient. By encouraging and enabling organizations to act with integrity, we can increase trust in institutions and promote prosperity and growth throughout the world.
K2 Integrity has realized this promise in its role as the preeminent risk, compliance, investigations, and monitoring firm—built by industry leaders, driven by interdisciplinary teams, and supported by cutting-edge technology to safeguard clients’ operations, reputations, and economic security.
K2 Integrity is an Equal Opportunity Employer.