Consultants

Summary

TransUnion is a company that provides data and analytics solutions. The Consultants role analyzes quantitative digital and identity data to identify fraud drivers, develop fraud solutions, and optimize machine learning and rule-based strategies. The role also validates models, generates client-facing insights, and applies rigorous quality control to large-scale data and analytics workflows.

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, GCP (BigQuery), Apache Spark, PySpark, Snowflake, machine learning, data architecture, data analysis, and statistical modeling

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, GCP (BigQuery), Apache Spark, PySpark, Snowflake, machine learning, data architecture, data analysis, and statistical modeling

Benefits

• Telecommuting permitted.
• Flexible time off for exempt employees.
• Paid time off for non-exempt employees.
• Up to 12 paid holidays per year.
• Day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options.
• Spousal, domestic partner, and other eligible dependent coverage on select health and welfare plans.
• Health savings accounts (HSA) and flexible spending accounts (FSA).
• 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.
• Legal plan.
• Pet insurance.
• Travel accident coverage.
• Adoption assistance.
• Fertility planning coverage.
• Caregiver support.
• Dependent Care FSA with the possibility of an employer match.
• Complimentary Care@Work membership.
• Up to 12 weeks of paid parental leave with eligibility for a gradual return.
• 401(k) retirement savings plan with employer match.
• Employee Stock Purchase Plan (ESPP).
• Financial wellness resources.
• Career coaching.
• Optional long-term care insurance.
• Tuition reimbursement.
• Commuter benefits.
• Employee discounts.
• Charitable gift matching.
• Paid volunteer time off.
• Corporate volunteer events.
• 24/7 support including professional therapy, coaching, and emotional well-being programs.
• Guided meditation and resources supporting physical, mental, social, and financial wellness.
• Regular, full-time non-sales positions may be eligible to participate in TransUnion’s annual bonus plan.
• Certain positions may be eligible for long-term incentives and other payments based on applicable company guidance and plan documents.
• Access to TransUnion’s Employee Resource Groups.