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Quantitative Developer (Systematic Equities POD)

London
Posted about 14 hours ago
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About the Role

Our client is looking for an experienced Quantitative Developer to join a newly formed team building a mid-frequency systematic equities trading platform. This role offers the opportunity to take end-to-end technical ownership of the system, shaping its architecture, implementation, and ongoing evolution.

Key Responsibilities

  • Design, develop, and maintain the core trading platform, including monitoring and alerting capabilities.
  • Build and support integrations with internal teams such as execution and risk.
  • Manage production workflows, including research data pipelines, cache generation, and maintenance processes.
  • Lead infrastructure integration efforts (e.g. cloud services, reporting tools) while ensuring system reliability and scalability.
  • Develop and maintain connectivity with external and internal systems, including data ingestion and trade execution platforms.
  • Enhance the research environment to enable efficient model development and testing.
  • Own the codebase lifecycle, including version control, CI/CD pipelines, and release management.

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?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

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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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.

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Strong

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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Strong

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Preferred Skills & Experience

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  • Proven experience developing systematic trading systems, preferably in equities.
  • Strong programming skills in Python, with expertise in libraries such as NumPy, pandas, or Polars.
  • Experience working with SQL databases, Snowflake, and cloud platforms (e.g. AWS).
  • Strong analytical and problem-solving abilities.
  • Excellent organizational skills with the ability to manage multiple priorities.
  • High attention to detail and commitment to producing high-quality, maintainable code.
  • Effective communication and collaboration skills, with the ability to work in a team-oriented environment.
  • Proactive, self-driven mindset with the ability to independently solve complex technical and operational challenges.
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Skills

Quantitative Development
Systematic Trading
Python
NumPy
Pandas
Polars
SQL
Snowflake
Cloud Services
AWS
Analytical Skills
Problem-Solving
Organizational Skills
Version Control
CI/CD
Trade Execution

Location

London, England, United Kingdom

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