Python Analytics & Technology Engineer – Equities
Key Skills for This Role
Full Job Posting
- Develop and enhance analytics applications using Python and SQL.
- Build automated data pipelines, ETL processes and reporting solutions.
- Implement production-grade monitoring, logging, testing and performance optimisation.
- Maintain code repositories, documentation and deployment processes.
- Develop and maintain management information and operational reporting.
- Deliver ad-hoc analysis and data insights to support business decision making.
- Automate manual reporting processes and improve data quality controls.
- Reconcile and validate data across multiple internal platforms.
- Support technology enhancements, system integrations and workflow improvements.
- Gather business requirements and produce functional documentation.
- Coordinate testing activities including UAT, regression testing and defect management.
- Partner with technology teams to onboard new data sources, APIs and services.
- Strong Python development (pandas, data engineering workflows, automated scripts, APIs).
- Advanced SQL (schema design, query optimisation, stored procedures).
- Experience deploying and maintaining applications in a production environment (CI/CD, job schedulers, monitoring).
- Ability to design robust ETL processes and ensure data integrity.
- Understanding of OTC Equity Derivatives .
- Working understanding of RWA, TCE , and capital usage concepts.
- Strong experience producing management and operational reports.
- Ability to create quick, flexible, precise reporting outputs for internal use.
- High attention to data accuracy and control.
- Experience working with technology teams on system enhancements, integrations, or migrations .
- Ability to write clear requirements, test functionality, and track issues.
- Comfortable with iterative development and changing priorities.
About Deloitte
Provides global audit, consulting, tax, and advisory services.
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