Quantitative Researcher

Albert Bow
Newcastle upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Real World Data Scientist (Associate Director)

Applied Research - Artificial Intelligence - London - VP

Postdoctoral Fellow- Computational Biology and Machine Learning

Postdoctoral Fellow- Computational Biology and Machine Learning

Applied Research - Artificial Intelligence - London - Associate

I am currently working with a quantitative trading firm who are focused on algorithmic trading in multiple asset classes. The firm is looking for a Quantitative Researcher to join their team.


With a global presence, they use a systematic quantitative approach to consistently generate alpha. They develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges with a focus on low-latency.


Responsibilities:


  • To deliver high quality systematic trading strategies in multiple asset classes.
  • Design and implement systematic trading strategies within the global execution platform.
  • Monitor the trading platform, strategies performance and relevant risk metrics.
  • Develop and implement appropriate tools to monitor the book and strategies performance.


Qualifications:


  • Advanced degree in applied mathematics and statistics or quantitative finance, and/or data science.
  • 2+ years of experience.
  • Coding skills in at least one leading programming language (C#, Python).
  • Experience in a front office desk or hedge fund as quant researcher or quant trader.
  • Experience in building and delivering systematic strategies in Equities, Futures, options is highly sought after.



If you or anyone else you know are interested in this role, please apply with an up to date CV or email me at and we can arrange a call to discuss further.


I look forward to hearing from you.


Regards,


James

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.

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.