Insider Risk Data Scientist & Quantitative Modeler

Recurring Decimal; New Jersey; On-site; USD 90,000 - 130,000; Full time

Job summary

Recurring Decimal is seeking a Data Scientist specialized in Insider Risk and Advanced Analytics. In this role, you will design and improve quantitative models while collaborating closely with Cybersecurity, HR, and other departments to translate complex data into actionable risk signals.

The ideal candidate holds a relevant degree and has 5+ years of experience in data science, particularly in financial services. Strong proficiency in Python, R, and SQL is essential to succeed in this dynamic environment.

Qualifications

• 5+ years of experience in data science or risk modeling.
• Strong experience building machine-learning models (regression, classification, etc.).
• Proficiency in Python and SQL for large-scale data analysis.

Responsibilities

• Design and improve quantitative models for insider risk.
• Transform complex data into risk signals and scoring models.
• Collaborate with multiple departments to support risk assessments.

Skills

Machine Learning

Statistical Analysis

Python

R

SQL

Communication Skills

Education

Bachelor’s or Master’s degree in Data Science or related field

Tools

Statistical/Machine Learning Tools

Job description

Recurring Decimal is seeking a Data Scientist specialized in Insider Risk and Advanced Analytics. In this role, you will design and improve quantitative models while collaborating closely with Cybersecurity, HR, and other departments to translate complex data into actionable risk signals.

The ideal candidate holds a relevant degree and has 5+ years of experience in data science, particularly in financial services. Strong proficiency in Python, R, and SQL is essential to succeed in this dynamic environment.