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Deloitte - Recruitment

Python Analytics & Technology Engineer – Equities

City of London
Posted about 2 months ago
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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.

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£35,000/yr

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Your 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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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.

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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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Skills

Python
SQL
Pandas
Data Engineering
ETL Processes
API Development
CI/CD
Performance Optimisation
Reporting Automation
OTC Equity Derivatives
RWA
TCE
Data Integrity
System Integration
UAT
Requirement Gathering

Location

City of London, England, United Kingdom

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