Consultants
Core
Analyze quantitative digital and identity data to reveal fraud drivers, process and transform big data, and develop fraud solutions and rulesets for eCommerce, digital banking, telecom, and eGaming.
Role type
Senior IC quantitative data analyst (fraud)
Builds
Fraud rulesets, customer strategies, and optimized rule sets for fraud-tolerant business uses
Domain
Financial services / Fraud detection / Big data analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (Pandas, NumPy, Scikit-learn), SQL, Apache Spark, PySpark, machine learning, statistical modeling, data architecture
Preferred skills
Graph-formulated data analysis, ensemble-based techniques, ROI analysis, forecasting, simulation
Technologies
Python, SQL, MySQL, PostgreSQL, GCP (BigQuery), Apache Spark, PySpark, Snowflake, Matlab
Responsibilities
Process, clean, and transform big data to enable datasets for online ML optimization; Implement optimized rule sets and expression of models within rule-based paradigms; Analyze machine learning models built on ensemble-based techniques and leveraging graph-formulated data; Validate model results and package them into insightful and visualized client-friendly reports; Ensure rigorous quality control and detect anomalies in existing data models.
Seniority
Mid-level, hands-on IC
