Consultants
About The Position
Consultants for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). 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. Technical environment: Python (Pandas, NumPy, Scikit-learn), SQL, MySQL, PostgreSQL, GCP (BigQuery), Apache Spark, PySpark, Snowflake, machine learning, data architecture, data analysis, and statistical modeling.
Requirements
- Master’s degree in Statistics, Applied Mathematics, Financial Mathematics, Computer Science, or related Quantitative Field.
- 2 years of experience with Analytics.
- Python (Pandas, NumPy, Scikit-learn)
- SQL
- MySQL
- PostgreSQL
- GCP (BigQuery)
- Apache Spark
- PySpark
- Snowflake
- Machine learning
- Data architecture
- Data analysis
- Statistical modeling
Responsibilities
- Analyze and reveal fraud drivers using quantitative digital and identity data.
- Process, clean, and transform big data for online ML optimization and development of fraud solutions, fraud rulesets, and customer strategies.
- Use SQL, R, Python, Spark, Matlab, and similar tools.
- Collaborate with data scientists, consultants, and external clients to identify new analytic insights.
- Implement optimized rule sets and models emphasizing ROI, multi-tiered treatment, and authentication strategies.
- Analyze machine learning models built on ensemble-based techniques and graph-formulated data.
- Analyze big data sets to generate deep insights on digital transactions in terms of risk for various fraud vectors.
- Validate model results and package them into client-friendly reports on ROI analysis, forecasting, simulation, and optimization.
- Ensure rigorous quality control and detect anomalies in existing data models using new data streams.
Benefits
- Flexible time off for exempt associates
- Paid time off for non-exempt associates
- Up to 12 paid holidays per year
- Health benefits (medical, dental, and vision plan options)
- Health spending accounts
- Mental health support
- Disability benefits
- Up to 12 weeks of paid parental leave
- Adoption assistance
- Fertility planning coverage
- Legal benefits
- Long-term care insurance
- Commuter benefits
- Tuition reimbursement
- Charity gift matching
- Employee stock purchase plan
- 401(k) retirement savings with employer match
- Access to TransUnion’s Employee Resource Groups
- Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.
- Company-paid basic life and AD&D
- Optional voluntary life and AD&D for you and your family
- Short- and long-term disability
- Pet insurance
- Travel accident coverage
- Caregiver support
- Dependent Care FSA for possibility of an employer match
- Complimentary Care@Work membership
- Thoughtful, gradual return to work after parental leave
- Financial wellness resources
- Career coaching
- Employee discounts
- Corporate volunteer events
- 24/7 support including professional therapy, coaching, and emotional well-being programs
- Guided meditation and resources that support physical, mental, social, and financial wellness
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
