National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Equity Trading Quantitative Analyst

Capital Group
London
1 year ago
Applications closed

Related Jobs

View all jobs

Quantitative Research - Sales Data Scientist - Vice President (London)

Senior/Principal Machine Learning Scientist - Causality (London)

Quantitative Researcher – Machine Learning

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Data Scientist

Capital Group seeks bright, highly motivated, and self-directed individuals to join our team. As an Equity Trading Quantitative Analyst based in London, you will provide analysis of Capital’s equity trading activities, with a focus on implicit and explicit trading costs of different trading strategies and methods, and also conduct research on equity market structures and characteristics.

As an Equity Trading Quantitative Analyst, you will demonstrate deep knowledge of equity market trading and structure. The analyst provides accurate and timely analysis of Capital’s global trading activities with respect to trading strategies, costs and execution and conducts research on equity market characteristics and structure for trading and other investment related teams. This role is part of a five member team, but will be the only analyst based in London and focused on EMEA markets. The analyst will show initiative and be comfortable with being the local subject matter expert.

“I can succeed as a Equity Trading Quantitative Analyst at Capital Group.”

You will provide quantitative and qualitative analysis of Capital’s equity trading and market activity.

 You will collaborate with Equity Trading and Investment Professionals in the development of investment implementation strategies.

You will have an understanding of algorithmic and manual execution strategies and be able to communicate effectively about those strategies with Equity Traders and counterparties.

You will use a variety of analysis tools and technical skills to develop clear and informative reports and visualizations of data sets to support analysis.

You will stay up-to-date on industry trends, technologies, regulatory issues, and regional market structure.

 You will build and maintain strong internal and external relationships.

“I am the person Capital Group is looking for”

You have 2 to 5 years of experience.

 You are involved in execution consulting or electronic sales at a broker-dealer, are experienced with transaction and/or market structure analysis, or work on a development team building trading infrastructure at a broker-dealer or a money management firm.

You are an effective written and oral communicator, with a strong emphasis on telling stories with data that can influence a trader’s future behavior.

 You understand equity trading market structure and trading rules for EMEA country markets.

You have experience with common methods and benchmarks in Transaction Cost Analytics.

You have an understanding of and experience handling equity market trade and quote data.

You have experience with data analysis and statistical modeling. Experience with Bayesian modeling a plus.

You have good to excellent abilities with some or all of the following toolkit: R, Python, SQL, Quarto, PowerBI, Shiny, Tableau, AWS Data Science/Sagemaker, and Databricks.

You demonstrate sound judgment in resolving matters of high complexity.

You demonstrate strong organizational skills, multi-tasking skills, and an attention to detail.

You are able to work calmly, flexibly, independently, and efficiently in a fast-paced environment.

You hold a Bachelor’s or Master’s degree

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.