Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Investment Quant

Newcastle upon Tyne
7 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Quant Engineer - Investment banking

Senior Quant/Risk Professional - Machine Learning, Surveillance

Data Scientist, Quantitative Strategies (Asset & Wealth Management)

Data Scientist, Quantitative Strategies (Asset & Wealth Management)

Data Scientist

Data Scientist (Commodities) | Top Systematic Fund

Investment Quant

My global financial tech firm client is looking for a highly capable and experienced Investment Quant with strong mathematical and programming skills to join their team in Newcastle.

The candidate must have experience in building cutting edge trading tools and other analytics which have been profitable.

The successful candidate must be happy working on all aspects of a quant project from start to finish; understanding the business problem, modelling and solving the resultant maths problem, sourcing any required data, and then coding the production solution.

To be considered for this role you must have a Degree in a numerate field from a Russell Group University

Essential Skills

MA/PhD in a numerate field from a Russell Group University (or equivalent international tertiary education)
Excellent maths intuition
An intuitive understanding of derivatives and market knowledge
Minimum three to five years' experience working in the financial services industry, ideally some of this being in Rates or Equities
Data analysis using Python based tools
3+ years' experience in object-oriented programming in an enterprise-level code base, ideally one of C#, C++ or JAVA
2+ years' experience of Derivatives Pricing and Modelling
Knowledge of Machine Learning
Good communication skills and a pragmatic problem solver
Ability to work independently and with initiative
Ability and drive to work in a collaborative team environment.This is a great and unique opportunity to work for a prestigious financial tech client in the investment fund management/ capita management sector and also be based outside of London.

So get in touch ASAP as I have interview slots ready to be filled.

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.