Consultants

Summary

TransUnion is a global information and insights company. Consultants analyze quantitative digital and identity data to uncover fraud drivers, develop and optimize fraud solutions, and generate client-facing insights using advanced analytics, machine learning, and statistical modeling.

Responsibilities

• Work with quantitative digital and identity data to analyze and reveal fraud drivers
• Process, clean, and transform big data and enable datasets for online ML optimization and development of fraud solutions, fraud rulesets, and customer strategies toward fraud tolerant business uses including eCommerce, digital banking, telecom, and eGaming
• Use SQL, R, Python, Spark, Matlab, and similar tools
• Work closely with other data scientists, consultants, and external clients to identify new analytic insights
• Implement optimized rule sets and expression of models within rule-based paradigms emphasizing ROI, multi-tiered treatment and authentication strategies
• Analyze machine learning models built on ensemble-based techniques and leveraging graph-formulated data and ML-augmented solutions for internal and customer facing ingestion with sophisticated, statistical formulations
• Analyze big data sets to generate deep insights on digital transactions in terms of risk for extremely varied set of fraud vectors
• Validate model results and package them into insightful and visualized client-friendly reports on ROI analysis, forecasting, simulation, and optimization
• Ensure rigorous quality control and detect anomalies in existing data models utilizing ongoing new data streams

Skills

• Master's degree in Statistics, Applied Mathematics, Financial Mathematics, Computer Science, or related Quantitative Field plus 2 years of experience with Analytics required
• Required skills (can be gained through education or experience): Python (Pandas, NumPy, Scikit-learn), SQL, MySQL, PostgreSQL, Google Cloud Platform (BigQuery), Apache Spark, PySpark, Snowflake, machine learning, data architecture, data analysis, and statistical modeling
• Telecommuting permitted

Qualifications

Must Haves

• Master's degree in Statistics, Applied Mathematics, Financial Mathematics, Computer Science, or related Quantitative Field plus 2 years of experience with Analytics required
• Required skills (can be gained through education or experience): Python (Pandas, NumPy, Scikit-learn), SQL, MySQL, PostgreSQL, Google Cloud Platform (BigQuery), Apache Spark, PySpark, Snowflake, machine learning, data architecture, data analysis, and statistical modeling
• Telecommuting permitted

Benefits

• Flexible time off for exempt associates
• Paid time off for non-exempt associates
• Up to 12 paid holidays per year
• Medical, dental, and vision plan options
• Health spending accounts, including HSA and FSA accounts
• Mental health support
• Company-paid basic life and AD&D insurance
• Optional voluntary life and AD&D insurance for employees and their families
• Short- and long-term disability benefits
• Up to 12 weeks of paid parental leave
• Adoption assistance
• Fertility planning coverage
• Caregiver support
• Dependent Care FSA with possibility of an employer match
• Complimentary Care@Work membership
• Legal plan and legal benefits
• Pet insurance
• Travel accident coverage
• Long-term care insurance
• 401(k) retirement savings with employer match
• Employee Stock Purchase Plan (ESPP)
• Commuter benefits
• Tuition reimbursement
• Charitable gift matching
• Employee discounts
• Paid volunteer time off
• Corporate volunteer events
• Financial wellness resources
• Career coaching
• 24/7 professional therapy, coaching, and emotional well-being programs
• Guided meditation and resources supporting physical, mental, social, and financial wellness
• Spousal, domestic partner, and other eligible dependent coverage on select health and welfare plans