Fraud Analytics Consultant (Remote)

TransUnion; United States; Remote; USD 97,000 - 118,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with company match

Stock purchase plan

Paid holidays

Job summary

TransUnion is seeking analytics professionals to analyze and improve fraud models using Python, SQL, and Spark within a data-driven environment. You will validate models and produce insights for ROI and optimization across diverse fraud vectors.

The role involves working with large datasets, building dashboards, and delivering client-ready analyses and reports. Telecommuting is permitted, with a strong emphasis on data quality and scalable analytics.

Qualifications

• Master’s degree in a quantitative field plus 2 years of analytics experience.
• Proficiency in Python, SQL, MySQL, PostgreSQL, and GCP BigQuery.
• Experience with Spark/PySpark, Snowflake, and machine learning.

Responsibilities

• Analyze machine learning models and validate results.
• Package results into client-friendly reports on ROI, forecasting, and optimization.
• Work with data streams to ensure data quality and robust analytics.

Skills

Python

SQL

MySQL

PostgreSQL

GCP BigQuery

Apache Spark

PySpark

Snowflake

Machine learning

Data analysis

Statistical modeling

R

MATLAB

Education

Master’s degree in Statistics, Applied Mathematics, Financial Mathematics, Computer Science, or related Quantitative Field

Tools

SQL

MySQL

PostgreSQL

GCP BigQuery

Apache Spark

PySpark

Snowflake

Python

R

MATLAB

Job description

TransUnion is seeking analytics professionals to analyze and improve fraud models using Python, SQL, and Spark within a data-driven environment. You will validate models and produce insights for ROI and optimization across diverse fraud vectors.

The role involves working with large datasets, building dashboards, and delivering client-ready analyses and reports. Telecommuting is permitted, with a strong emphasis on data quality and scalable analytics.