Risk Analyst – Data Science & Analytics
Core
Develop and enhance data-driven analytics products using consumer bureau data, statistical techniques, and machine learning to identify patterns and opportunities for clients. (via careerplan.io/jobs/744000153708987-risk-analyst-data-science-analytics-at-experian)
Role type
Senior IC data scientist (analytics product development)
Builds
Repeatable analytics products, models, scores, and decision-support components for financial services clients
Domain
Financial services / Credit risk / Bureau data
Deliverable
production ML models
Required skills
Python, SQL, applied statistics, supervised/unsupervised learning, feature engineering, model validation, data wrangling
Preferred skills
SAS, Git, cloud analytics platforms (Spark/Databricks), model governance frameworks, consumer lending/credit risk domain knowledge
Technologies
Python, SQL, Spark, Databricks, Git
Responsibilities
Analyze complex bureau and financial datasets to identify patterns; prototype analytical solutions and define success criteria; build and benchmark statistical/ML models; perform data preparation and feature engineering; validate model performance and interpretability; create reusable automated workflows; partner with Product/Technology teams on UAT and productization; document methodologies and explain results to stakeholders.
Seniority
Senior, hands-on IC
