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

Apply Now

2025 Summer Internship – Quantitative Risk

Capstone Investment Advisors
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist Co-op - Summer/Fall 2026

Data Scientist Co-op: Onsite Summer-Fall 2026

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026...

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026

Entry-level Data Analyst

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.