Data Modeler - Hybrid

Requirements:

• We require a bachelors or masters degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or a closely related field.
• We need at least 5 years of experience in data science, quantitative analysis, or risk modeling, ideally within financial services or other regulated environments.
• We look for strong hands-on experience building statistical and machine learning models, including regression, classification, anomaly detection, and clustering.
• We expect proficiency in Python and/or R, along with SQL experience for large-scale data analysis.
• We value experience working with complex enterprise datasets and converting analytical findings into business decisions.
• We require excellent communication skills and the ability to explain complex analytical concepts to non-technical stakeholders.
• We prefer experience supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, or Threat Analytics programs.
• We value familiarity with identity and access data, endpoint telemetry, DLP, email, or collaboration monitoring.
• We look for experience with model explainability, governance, and validation in regulated settings.
• We value knowledge of employee lifecycle risk, behavioral analytics, or human-centered risk modeling.
• We prefer candidates who are available to work directly as our employees for this contract role.

Responsibilities:

• We design, build, and continuously refine quantitative models, statistical techniques, and analytical frameworks to identify, evaluate, and rank insider risk across employees, contractors, vendors, and non-human identities.
• We partner closely with Cyber, HR, Legal, Compliance, Anti-Fraud, and Enterprise Information Protection teams.
• We transform complex enterprise data into defensible risk indicators, transparent scoring models, and executive-ready metrics.
• We support investigations, governance activities, and responses to regulatory scrutiny through clear and reliable analytics.
• We contribute to the advancement of our Insider Risk programs detection, scoring, and decisioning capabilities.
• We help centralize data in our Cybersecurity Data Lakehouse and support analytics around Insider Risk data to create a human risk score.

Technologies:

• Support
• Machine Learning
• Network
• Python
• SQL
• Security
• AI

More

We are supporting a hybrid 6-month contract opportunity for a Data Modeler in Jersey City, NJ, with a major financial institution. Our Insider Risk team, working alongside our Information Security Data Operations group, is focused on centralizing cybersecurity data and strengthening our detection, scoring, and decision-making capabilities. We offer competitive hourly compensation ranging from $62.80 to $66.80, along with access to a broad client network, experienced recruiting support, and contract benefits that may include medical, dental, vision, HSA, voluntary insurance options, 401(k), sick pay where applicable, and commuter benefits. We are an equal opportunity employer and are committed to fair consideration for all candidates.

last updated 43 week of 2026