Quantitative Researcher - Junior

Anson McCade
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

My client is a leading quantitative hedge fund with offices across Europe, North America and Asia. Their teams trade all traditional asset classes and cover a mix of MM/HFT, Stat Arb, Macro, and Event Driven strategies. The firm is looking for Junior Quantitative Researchers to be responsible for researching strategies in collaboration with other Quantitative Researchers. This is an excellent opportunity for PhD graduates and strong Master's graduates with a background in mathematics, statistics, or a related field. Successful candidates will work in a collaborative environment, where they will gain exposure to many aspects of the business from the front office while working on the full strategy pipeline from idea generation to implementing and monitoring models.

The Role:

  • Involvement in all aspects of the strategy development process, from research based on large datasets to the creation, backtesting and implementation of strategies.
  • You will use quantitative methods to conduct in-depth analysis of market patterns and trends. You will use methods such as statistical modelling and machine learning techniques to identify tradeable opportunities.
  • This is a collaborative environment where you will work with other quantitative researchers to collect data, discuss research, and optimise systematic trading strategies.

Requirements:

  • The ideal candidate will have a Master's or PhD in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering.
  • Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc.
  • Experience/knowledge of finance from academic studies, internships or professional work.
  • Strong attention to detail, excellent problem-solving abilities, and the ability to work well in a collaborative environment.

R2VvcmdlLkhhbHNleS44MDcxMC5lZmlAYW5zb25tY2NhZGUuYXBsaXRyYWsuY29t.gif

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.