Database Engineer - Financial Risk
Core
Design and scale innovative, secure data systems to solve high-impact problems in credit risk and financial services.
Role type
Database Engineer (Financial Risk)
Builds
Credit risk solutions, data pipelines, and AI model infrastructure
Domain
Financial services / Credit risk / Data engineering
Deliverable
production ML models
Required skills
BigQuery, SQL, relational databases, NoSQL databases, Python, data modeling, data partitioning, data optimization, data governance, data visualization
Preferred skills
Agile methodologies (Jira, Scrum, Kanban), code versioning (Git), Tableau, Grid
Technologies
BigQuery, SQL, Python, Tableau, Grid, Jira, Scrum, Kanban, Git
Responsibilities
Develop and optimize data pipelines and ETL processes for credit risk solutions; Operate high-traffic, high-availability environments ensuring data integrity and governance; Analyze and structure large data volumes to support strategic financial risk decisions; Implement efficient data architectures for analytical environments and AI applications; Solve complex technical problems by driving automation, monitoring, observability, and core metric visualization.
