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Quantitative Developer/Analyst - Equities Algorithmic Trading

McGregor Recruitment

Greater London

On-site

GBP 70,000 - 100,000

Full time

15 days ago

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Job summary

A leading global electronic trading organisation is seeking a Quantitative Developer. In this role, you'll design and validate models, analyse equities markets, and implement algorithmic logic. Requires strong Java and Python skills and 3-5+ years in a quant role. This position offers full ownership from research to implementation, impacting algorithmic behaviour and client execution quality. Ideal for those at the intersection of quantitative modelling and market microstructure.

Qualifications

  • 3-5+ years in a relevant quant developer or algo quant role.
  • Strong proficiency in Java and Python.
  • Experience building or enhancing trading models.

Responsibilities

  • Design and enhance models for execution algorithms.
  • Analyse market microstructure and client trading outcomes.
  • Implement logic changes within a Java-based algorithmic framework.

Skills

Quantitative research
Model development
Hands-on coding
Performance analysis
Java
Python
Equities markets

Education

MSc/PhD in a quantitative or computational discipline
Job description

A leading global electronic trading organisation is seeking a Quantitative Developer to join its equities algorithmic trading and research group. This team designs, evaluates and enhances models that directly influence how execution strategies behave across global markets.

This role suits someone who enjoys combining quant research, model development, and hands‑on coding, with responsibilities spanning performance analysis, model refinement, and implementation of strategy logic.

What you'll be working on
  • Designing, enhancing and validating models used within execution algorithms

  • Analysing equities market microstructure and client trading outcomes

  • Determining whether customer performance is good or poor and why

  • Implementing logic changes within a Java-based algorithmic framework

  • Conducting Python‑based research, prototyping, and backtesting

  • Collaborating closely with global quant and engineering teams (including Asia)

  • Explaining model behaviour and insights to internal stakeholders and clients

What we're looking for
  • 3-5+ years in a relevant quant developer / algo quant> role

  • Strong proficiency in Java (business logic, concurrency) and Python (research, modelling)

  • Solid knowledge of equities markets and microstructure

  • Experience building or enhancing models for trading, execution, or performance analysis

  • Ability to interpret and quantify client trading outcomes

  • Comfortable working with global teams and communicating quantitative concepts clearly

  • MSc/PhD in a quantitative or computational discipline advantageous

Why this role is compelling
  • Full ownership across research → model development → implementation

  • High impact on algorithmic behaviour and client execution quality

  • Strong growth trajectory with exposure to global trading and quant teams

  • Balanced role where quant research meets real‑world production engineering

If you enjoy being at the intersection of quantitative modelling, algorithmic trading, and market microstructure, this opportunity offers one of the most comprehensive platforms to grow and contribute.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

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