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Quantitative Developer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Harrington Starr
Full Time position
Listed on 2026-10-03
Job specializations:
  • Software Development
    Data Scientist, Python, Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 55000 - 70000 GBP Yearly GBP 55000.00 70000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Quantitative Developer

Location:

London / Hybrid
Working pattern:
Hybrid
Salary:£55,000–£70,000 + discretionary bonus

Sarasin & Partners is looking for a Quantitative Developer to join its centralised Quant team, working across quantitative research, investment data and software development.

The Opportunity

This is a broad technical role within a small quantitative team, working closely with researchers to develop the data infrastructure, tools and analytics that support investment research across the business.

The role is particularly suited to someone with strong Python and data engineering skills who is interested in developing their understanding of financial markets and quantitative research.

The Role

You will work across a range of technical and quantitative projects, including:

  • Building and maintaining data pipelines and ETL processes
  • Working with financial, market and investment datasets
  • Developing tools and infrastructure to support quantitative research
  • Using Python and SQL to process, structure and analyse data
  • Working with quantitative researchers to product ionise research and analytical processes
  • Developing and improving internal platforms, tools and applications
About You

We're looking for someone with strong technical fundamentals, a quantitative or analytical mindset and an interest in financial markets.

You will ideally have:

  • Strong Python development experience
  • Experience with SQL
  • Experience building ETL processes, data pipelines or backend systems
  • Experience working with financial, market or other complex datasets
  • Strong data processing and automation skills
  • A technical, quantitative or STEM background

For an early-career developer in particular, this is an opportunity to build on strong technical foundations while gaining meaningful exposure to financial markets and quantitative investment research.

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