2025 Summer Internship – Quantitative Risk

Capstone Investment Advisors
London
1 year ago
Applications closed

Related Jobs

View all jobs

Giant Leap Trainee, Data Scientist

Machine Learning Engineer

Environmental Data Scientist/Hydrologist

Lecturer / Senior Lecturer in Artificial Intelligence

Lead Machine Learning Engineer

Artificial Intelligence Engineer

PROGRAM DETAILS

Capstone’s 5 Summer Internship is a 10 week summer program. You will be given a project that is both educational and a value add to the business, at the end of the summer you will present your project to the senior leadership team. Throughout the program you will attend educational sessions given by senior leadership, we will host team building exercises and encourage relationship building with the firm. At the end of the summer, we will have a send-off lunch to close out the program and thank you for all your hard work.DepartmentThe Risk Management Team is responsible for measuring, monitoring, and managing the risks of the firm. The Team identifies, quantifies, evaluates, and reports the risks which result from trading strategies across all asset classes. It works closely with trading and technology teams to create and maintain tools for risk management and analytics, to make managers aware of existing and potential risks to the firm and its investors. DESIRABLE CANDIDATES: Pursuing an undergraduate, or master’s degree in Financial Engineering Interest in financial markets Experience in writing Python code (Pandas, NumPy, sklearn, dash, plotly, flask, Django) Strong communication skills both written and verbal Ability to find creative solutions to problems Familiarity with machine learning would be advantageous Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.HOURLY RATE$30 USD – $40 USD

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.

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.

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.