B3.1 Data
Core
Cleaning and preparing datasets, running pre-trained machine learning models, and developing data models for analytics in the financial services industry.
Role type
Data Engineer / Data Analyst (Basel 3.1)
Builds
Data models, ML model outputs, and dashboards for banking and financial services clients.
Domain
Banking, Financial Services, ESG (Emissions, Climate Risk)
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Python, SQL, PySpark, Docker, Kubernetes, CI/CD pipelines, Tableau, Power BI, data modeling, test execution, defect management
Preferred skills
Subject matter expertise in emerging analytical approaches, developing AI/ML models
Technologies
PySpark, Docker, Kubernetes, CI/CD, Tableau, Power BI
Responsibilities
Cleaning and preparing datasets based on pre-defined rules; Running pre-trained machine learning models and interpreting outputs; Development of conceptual, logical, and physical data models for analytics; Strong documentation of data definitions, controls, and processes; Experience managing large, complex datasets with high inter-dependencies; Documenting business and functional requirements; Experience building dashboards and MI outputs for stakeholder consumption; Experience with test analysis, test execution, and defect management within data or analytics environments; Experience with application development and deployment.
Seniority
Mid-level, hands-on IC
