Business Data Analyst

Matrix USA is a global technology services and consulting company specializing in advanced technologies, software solutions, and digital products. The company is seeking an experienced Business Data Analyst to support sanctions, fraud, and AML data analysis, model tuning, optimization, and performance evaluation. The role involves quantitative analysis, feature and dataset development, automation, documentation, and collaboration with technical, compliance, risk, and business stakeholders.

Responsibilities

Analyze and support **Sanctions, Fraud, and AML models**, including model tuning, optimization, and performance monitoring

Apply appropriate **model tuning methodologies and tools** to improve model effectiveness and reduce false positives

Analyze banking products, processes, systems, and transaction data to identify trends, patterns, and potential data or modeling issues

Document model tuning methodologies, results, and optimization activities, and prepare reports and presentations for **senior management and regulatory stakeholders**

Perform quantitative analysis to evaluate model performance and identify opportunities for improvement

Develop and analyze features and datasets to support statistical modeling and machine learning initiatives

Collaborate with data scientists, model risk teams, technology teams, compliance professionals, and business stakeholders

Work with large datasets and develop automation to improve data analysis and model-tuning processes

Clearly document and communicate analytical findings and recommendations to interdisciplinary teams

Manage multiple priorities effectively in a fast-paced environment with changing business requirements

Benefits

Comprehensive benefits package, including medical, dental, 401K, STD, HSA, PTO, and more.

A challenging and engaging work environment.

Meaningful career development opportunities.

A diverse, inclusive culture that encourages collaboration, continuous learning, and growth.

Remote work arrangement.

Company

Enterprise digital, data, AI, and automation services

Jersey City, New Jersey, US

http://www.matrixglobalservice.com/

Founded in 2006

10001+ employees

Qualifications

Experience in **Sanctions, Fraud, AML, or financial-crime modeling**

Strong understanding of **model tuning methodologies, optimization techniques, and related tools**

Strong knowledge of **banking products, processes, systems, and financial transactions**

Advanced proficiency in **Python and SQL**, including experience working with large datasets and developing automated analytical solutions

Strong Python programming skills for **data analysis, feature engineering, statistical analysis, and modeling**

Experience developing and evaluating classification models, including:

Logistic Regression

Multinomial Logistic Regression

XGBoost

LightGBM

Random Forest

Ability to compare model performance using appropriate statistical and model-evaluation techniques

Strong understanding of **statistics, data science, and quantitative analysis**

Ability to identify, troubleshoot, and resolve data-quality and modeling issues

Experience with **version control systems such as Git/GitHub**

Master's or Ph.D. in **Statistics, Economics, Finance, Mathematics, Data Science, or a related quantitative discipline**

Excellent written and verbal communication skills, with the ability to explain technical findings to both technical and non-technical stakeholders

Strong organizational skills and the ability to **manage multiple projects and shifting priorities** effectively

Required skills

Financial Crime Modeling, Sanctions, Fraud, and AML, Model Tuning and Optimization, Python, SQL, Statistical Analysis, Quantitative Analysis, Classification Models, Feature Engineering, Logistic Regression, XGBoost, LightGBM, Random Forest, Git/GitHub, Banking Products and Financial Transactions

Preferred skills

Written and Verbal Communication