Investment Quant Developer - Prestigious Hedge Fund - TopCompensation Benefits (15h Left)

Mondrian Alpha
East Riding of Yorkshire
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist within Asset & Wealth Management (Senior Associate)

Data Scientist within Asset & Wealth Management (Senior Associate)

Data Science & Machine Learning - Senior Associate - Asset Management

Senior Data Scientist

Data Scientist Lead

Machine Learning Specialist

My client, a prestigious US credit fund who arerapidly expanding their presence across Europe, are seeking anentrepreneurial and technically skilled candidate with a strongfoundation in Machine Learning (ML) and Artificial Intelligence(AI) to join their newly established strategist function team. Inthis role, a successful candidate will play a pivotal role in theteam's success by leveraging their technical skills to code datasets, extract actionable insights, and enhance various PortfolioManagers trading strategies. Your primary goal will be to uncoveropportunities to optimise strategies and ultimately drive profitgeneration. This function will operate as a distinct entity withinthe larger organisation, meaning the team will operate with a highdegree of autonomy, and there will be ample room for innovativethinking and independent problem-solving. A core responsibilitywill be to filter and assess the ideas generated by PMs, evaluatingwhich concepts are viable and worth pursuing based on data-drivenanalysis and feasibility. Requirements: - Strong programming skillsin Python, Excel, VBA - 1-3 years of experience on desk developingtooling for portfolio managers - Experience with SQL, databasedesign, and large datasets - Willing to take ownership of his/herwork, working both independently and within a small team -Commitment to the highest ethical standards - Masters in ArtificialIntelligence or Machine Learning You can expect: - Market-leadingcompensation with a strong increase on any current base. - A veryattractive bonus structure on top of this. - Core responsibilityfrom day one as well as the opportunity for quick progression intoa senior leadership seat. - Contact industry experts within thefinancial markets, including seminars and talks. - Access to thelatest development tools, high-spec workstations, and cutting-edgetechnology. - A heavily protected positive and supportive workenvironment. To apply, either respond to this advert or send yourCV directly to .

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.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

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.

🍪 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.