Senior Data Scientist – Insider Risk & Cyber Analytics #3588476

Be Part Of A High-Performing Team:Join a globally recognized financial institution operating at the forefront of banking, risk management, and technology innovation. The organization is known for its strong governance, data-driven decision-making, and investment in advanced cybersecurity initiatives.This team sits within a specialized Insider Risk and Cybersecurity Data Operations function, working on cutting-edge initiatives to centralize and transform enterprise data into actionable intelligence. The environment is highly collaborative, partnering across Cybersecurity, HR, Legal, Compliance, and Fraud teams to build sophisticated risk models and analytics frameworks. The team is focused on developing next-generation capabilities such as human risk scoring and behavioral analytics to strengthen enterprise security posture.What’s In Store For You:Engagement: W2 only (no C2C/1099)Opportunity to work on advanced AI/ML-driven cybersecurity initiativesExposure to enterprise-wide data strategy and executive-level decisioningHybrid work environment with collaboration across multiple business unitsHigh-impact role contributing to regulatory, risk, and security outcomesHow You Will Make An Impact:Design and develop quantitative models to detect, assess, and prioritize insider risk across enterprise environmentsBuild and enhance machine learning models (classification, anomaly detection, clustering) for cybersecurity and risk analyticsPartner with cross-functional teams to translate complex data into actionable insights and risk signalsContribute to the development of a centralized Cybersecurity Data Lakehouse (CyberDW)Create transparent and explainable risk scoring models for governance and regulatory alignmentSupport decision-making through advanced analytics, reporting, and executive-level metricsAre you a proven data science professional in cybersecurity and risk analytics?5+ years of experience in data science, quantitative analysis, or risk modeling (10+ years preferred)Strong background in machine learning techniques such as regression, classification, clustering, and anomaly detectionProficiency in Python and/or R, along with strong SQL skills for large-scale data analysisExperience working with complex enterprise datasets and translating insights into business decisionsBackground in cybersecurity, insider risk, fraud, AML, UEBA, or threat analytics programsFamiliarity with identity/access data, endpoint telemetry, DLP, or communication monitoring systemsExperience with model governance, validation, and explainability in regulated environmentsStrong communication skills with the ability to explain technical concepts to non-technical stakeholdersBachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or related disciplineTo apply, please submit your resume and cover letter highlighting your relevant experience and qualifications.-------About us:Axiom Path is a global solutions provider leveraging AI and pre-built analytics to deliver exceptional services across various domains. Our core values (Accountability, Excellence, Integrity, and Community) guide us in providing optimized results and unparalleled service. We are an equal opportunity employer, a SIA-recognized diversity-owned firm, committed to diversity and inclusion.