Risk Analyst – Data Science & Analytics
Core
Transform large and complex datasets into high-quality market intelligence, client-specific insights, and analytical solutions through exploratory analysis, statistical modelling, and automation.
Role type
Senior IC data scientist (analytics & risk) (via careerplan.io/jobs/744000152608319-risk-analyst-data-science-analytics-at-experian)
Builds
Custom analytics assignments, statistical models, segmentations, benchmarks, and automated insight workflows
Domain
Financial services / Market intelligence / Risk analytics
Deliverable
dashboards & analysis
Required skills
Python (data manipulation, ML, statistical modelling), SQL, applied statistics (hypothesis testing, regression), feature engineering, data wrangling, model evaluation, business communication
Preferred skills
SAS, Git, Spark/Databricks, productionisation, model monitoring, banking/credit-bureau domain experience
Technologies
Python, SQL, SAS, Git, Spark, Databricks
Responsibilities
Analyse large bureau and client datasets to identify market trends and emerging risks; Build statistical models and diagnostic analyses to improve decision making; Develop repeatable code libraries and automated workflows; Create clear charts and narratives to communicate findings; Contribute to industry insight reports and client presentations; Validate findings and ensure compliance with data-security requirements
Seniority
Senior, hands-on IC
