Credit Risk Analytics Manager conducting quantitative credit/behavioral/financial analytics for bank consumer portfolios. Collaborating with stakeholders to deliver insights and manage risks effectively.
About the role
- Senior Data Analyst responsible for data transformations and key reporting to support Native's operations. Working with various databases and tools to enable data-driven decisions.
Responsibilities
- Own Problems End-to-End: Take vague, complex challenges and drive them from concept through implementation, deployment, and iteration.
- Execution at Velocity: Ship resilient systems at pirate ship speed under intense constraints.
- Operationalize AI: Incorporate modern AI techniques into core systems both to optimize velocity and precision of builds and to leverage Native’s unique data pipelines from the market.
- Evolve the Platform: Contribute to the technical trajectory that renders the world’s largest commercial channel legible, actionable, and operational at scale.
- Domain Ownership: Command of system architecture, design, and implementation, accountable for results without excuse.
- Generate reports: Create and deliver accurate, clear, and valuable reports for both internal and external clients.
- Analyze information: Work with data collected from daily surveys, integrating datasets developed by data scientists.
- Automate processes: Streamline and execute automated data production workflows for efficient client delivery.
- Produce files: Prepare customized outputs tailored to each client’s specific structure and requirements.
- Improve logistics: Enhance planning processes to support field collaborators more effectively.
- Manage requests: Handle operational tickets promptly, ensuring timely responses and proper follow-up.
- Collaborate on projects: Performance is assessed on one axis: the velocity, precision, and scale at which this role advances Native’s position in the market.
Requirements
- Minimum of 2 years working on data analysis or data transformation projects.
- Professional degree in Systems Engineering, Software Engineering, or a related field.
- Proficient in ETL using database languages such as BigQuery, MySQL, or Postgres (required).
- Proven experience in Google Cloud Platform, particularly with Cloud Functions and Scheduler Queries (required).
- Strong proficiency in Python (required).
- English level B1 or higher (required).
- Experience using project management tools such as Jira or Microsoft Project (required).
- Skilled in automating reports using Pentaho tools (required).
- Hands-on experience with operational processes.
Job title
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Degree requirement
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