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Python Developer - Inside IR35 - Up to £700 per day

Exclusive opportunity

Onsite

Python Developer - Inside IR35 - Up to £700 per day

Hunter Bond

Python Developer - Inside IR35 - Up to £700 per day

Skills

SQL QueriesDjangoFlaskPythonNumPypandasData AnalysisLinuxFastAPIPySpark

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

London, UK

Work mode:

Onsite

Published on:

23 September 2026

What they need


Senior Python Developer – Trading & Risk Platforms

Hybrid in Central London

Inside IR35 - Up to £700 per day

We are seeking Senior Python Developers with proven experience building trading and risk systems within investment banking. You will develop backend services, data processing solutions and risk-focused applications supporting trade lifecycle, risk calculations and reporting.

Key Responsibilities

  • Develop and enhance Python applications for trading and risk platforms
  • Build data pipelines and automation for trade, risk and reconciliation workflows
  • Process large financial datasets supporting PnL, risk and regulatory reporting
  • Contribute to architecture, scalability and system design decisions
  • Partner with quants, traders and risk teams to deliver technical solutions
  • Develop and integrate REST APIs and backend services
  • Maintain high code quality through testing, reviews and best practices
  • Mentor junior developers where required

Required Skills

  • Strong Core Python development experience
  • Experience with enterprise trading and risk platforms (e.g. Quartz, SecDB, Athena, Kanon, Beacon or similar)
  • Strong SQL and large-scale data handling expertise
  • Pandas and NumPy for data processing and analytics
  • REST API development using Flask, FastAPI or Django
  • Strong understanding of performance optimisation and scalable systems
  • Unix/Linux and shell scripting experience

Domain Experience

  • Investment Banking or Capital Markets background
  • Experience across Market Risk, CCR, PnL, Trade Lifecycle and Reconciliations
  • Knowledge of derivatives, swaps, futures, options and fixed-income products

Desirable

  • PySpark or distributed data processing
  • Exposure to quantitative models and pricing systems
  • Global banking environment experience
  • 9–15 years' relevant experience

Please note: Candidates without trading, risk or capital markets experience will not be considered.

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