K2 Integrity seeks a highly motivated and experienced remote Data Scientist to join our Financial Crimes Risk Management practice. You will play a pivotal role in combatting financial crime by leveraging advanced data analysis and modeling techniques. Your expertise in Python and data storytelling will be instrumental in developing innovative solutions to detect and prevent illicit activities across various financial crime typologies. This is an opportunity to utilize your analytical acumen and passion for data to safeguard the integrity of the financial system.
Responsibilities
• Financial Crime Expertise: Apply your in-depth knowledge of money laundering, fraud, and other financial crime typologies to develop and refine sophisticated detection models and rules.
• Data Analytics & Quality Assurance: Assess and enhance data quality standards, ensuring the integrity and reliability of financial datasets for comprehensive analysis. Identify patterns, anomalies, and potential indicators of criminal activity.
• Rules/Controls Optimization: Fine-tune existing rules and parameters while developing new, innovative controls to maximize the detection of illicit activities while minimizing false positives.
• ML Model Development & Validation: Design, build, and validate machine learning models to enhance the accuracy and effectiveness of financial crime detection.
• Programming & Querying: Leverage your proficiency in Python and SQL (and potentially Matlab, SAS, or VBA) to automate data workflows, including extraction, cleaning, transformation, and analysis.
• Reporting & Data Storytelling: Translate complex data insights into clear, compelling narratives through impactful reports and presentations, empowering stakeholders to make informed decisions.
• Collaboration: Foster collaboration with data analysts, financial crime experts, and stakeholders across the organization to share knowledge, coordinate efforts, and drive collective impact.
• Continuous Learning: Embrace a commitment to lifelong learning, staying abreast of cutting-edge trends and techniques in data science, financial crime, programming, and artificial intelligence.
• Problem-Solving & Innovation: Demonstrate adaptability and resourcefulness in tackling diverse challenges, embracing opportunities to apply creative solutions.
• Resilience & Adaptability: Thrive in a dynamic, fast-paced environment with shifting priorities and ambiguous situations, showcasing your ability to navigate complexity.
• Project Management: Exercise strong organizational skills and independent judgment to effectively prioritize and manage multiple projects simultaneously.
• Ethical Conduct: Uphold the highest standards of integrity and ethical behavior, ensuring that all work aligns with legal and regulatory requirements.
Qualifications
• Bachelor's Degree (or higher): In a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline.
• Programming Skills: Advanced proficiency in Python and SQL. Experience with Matlab, SAS, or VBA is highly desirable.
• Financial Crime & Compliance Experience: Prior experience in financial crime investigations, compliance, or regulatory environments is a significant 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.
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