CareerPlanSign in

Business Data Analyst

USA, United StatesFull-time2026-10-01 → 2026-10-08

Core

Analyze and support Sanctions, Fraud, and AML models including tuning, optimization, and performance monitoring to reduce false positives and identify trends in transaction data.

Role type

Senior IC data analyst (financial crime modeling) (via careerplan.io/jobs/19-00F-5F-279-business-data-analyst-at-matrix-global)

Builds

Optimized statistical and machine learning models for sanctions, fraud, and AML

Domain

Banking / Financial Crime

Deliverable

production ML models

Required skills

Python, SQL, Logistic Regression, Multinomial Logistic Regression, XGBoost, LightGBM, Random Forest, statistical analysis, feature engineering, Git/GitHub

Preferred skills

None stated

Technologies

Python, SQL, XGBoost, LightGBM, Random Forest

Responsibilities

Analyze and support Sanctions, Fraud, and AML models; Apply model tuning methodologies to improve effectiveness; Analyze banking products, processes, systems, and transaction data; Develop and analyze features and datasets for statistical modeling; Collaborate with data scientists, model risk teams, and compliance professionals; Manage multiple priorities in a fast-paced environment

Seniority

Senior, hands-on IC