Deloitte - Recruitment
Python Analytics & Technology Engineer – Equities

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Contract Role: Python Analytics & Technology Engineer – Equities
Contract Location: London. Hybrid
Contract Duration: 6 months initially (with potential extension)
Contract Start Date: Immediate
Contract Classification: Inside IR35
Overview
A leading global investment banking organisation is seeking a Senior Python Analytics & Technology Engineer to support a Strategic Equity Solutions business. This role sits within a specialist analytics function focused on technology development, reporting automation, systems integration, and data engineering.
The successful candidate will work closely with business stakeholders and technology teams to build scalable analytics solutions, automate reporting processes, and support strategic technology initiatives across the equities business.
Key Responsibilities
Technology Development & Automation
- 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Reporting & Analytics
- 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.
Systems & Change Delivery
- 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.
Essential Skills & Experience
Technical Must-Haves:
- 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.


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Financial/Product Knowledge:
- Understanding of OTC Equity Derivatives.
- Working understanding of RWA, TCE, and capital usage concepts.
Reporting & Analytics:
- 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.
Project Management & Delivery:
- 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.
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