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# Data Scientist - Insider Risk Analytics

- **Company:** Axiom
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $139,360.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Cyber Security, Database Queries, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, DataOps, Information Technology
- **Published:** September 26, 2026
- **Apply:** https://www.juju.com/job/16_83f60c29

## About the Role

* 5+ years of experience in data science, quantitative analysis, statistical modeling, or risk analytics.
 * Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or a related discipline.
 * Strong experience developing statistical or machine learning models, including regression, classification, anomaly detection, and clustering.
 * Proficiency with Python and/or R, plus strong SQL skills for large-scale data analysis.
 * Experience working with complex enterprise datasets and translating analytics into operational or business decisions.
 * Background supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, Threat Analytics, or related risk programs.
 * Familiarity with identity/access data, endpoint telemetry, DLP, email, collaboration monitoring, or similar enterprise security datasets.
 * Understanding of model explainability, governance, validation, and documentation expectations in regulated environments.
 * Knowledge of employee lifecycle risk, behavioral analytics, or human-centric risk modeling is strongly preferred.
 * Strong communication skills with the ability to simplify complex analytical concepts for non-technical stakeholders.

## Description

Join a sophisticated financial services technology environment supporting cybersecurity, data operations, and enterprise risk management initiatives. This team is focused on strengthening how insider risk is detected, measured, and governed across a large, regulated organization. The role sits at the intersection of cybersecurity, data science, analytics, and risk decisioning, contributing to a high-visibility program designed to centralize insider risk data and transform complex behavioral and enterprise signals into actionable insights.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Jersey City, NJ, supporting a cybersecurity data lakehouse initiative tied to insider risk and advanced analytics. The role offers the opportunity to work across Cybersecurity, HR, Legal, Compliance, Anti-Fraud, and enterprise protection teams while helping shape risk scoring, model governance, and executive-level reporting for a highly regulated environment.

How You Will Make An Impact

 * Design, build, and refine quantitative models that help identify, assess, and prioritize insider risk across employees, contractors, vendors, and non-human identities.
 * Partner with data engineers, analysts, cybersecurity stakeholders, and business teams to centralize insider risk data within a cybersecurity data lakehouse.
 * Develop statistical, machine learning, and analytical frameworks for anomaly detection, classification, clustering, scoring, and behavioral risk modeling.
 * Translate large, complex enterprise datasets into clear risk signals, defensible models, and actionable business recommendations.
 * Support the creation of human-centric risk scoring methodologies that improve detection, investigations, governance, and regulatory readiness.
 * Communicate model outputs, assumptions, and analytical findings to technical and non-technical stakeholders, including senior leadership.