Saragossa | Risk Developer - Hedge Fund - up to 150k base + bonus

Saragossa
London
5 months ago
Applications closed

Related Jobs

View all jobs

Global Head of Data Engineering - £250k tc

Senior Machine Learning Engineer - up to £130k base plus equity

Are you a software developer looking to make an impact in a fast-paced environment?


How about joining a global Multistrat Hedge Fund to develop and maintain risk platforms.


You will design, develop, and implement Big Data and real-time applications. You will also guide the team on best practices and enhance the risk system for real-time processing and scalability. You’ll collaborate with delivery teams and build relationships with business users and stakeholders every single day.


You should have strong programming skills in one language (Java, Python, C#, etc.), and experience with distributed systems (Kafka is preferred but not essential).


Your team values innovation and investment in various new technologies to achieve various business goals. The Risk Engineering Team is crucial for delivering critical functionality while working with risk specialists and other tech teams. This is a chance to work in an environment that encourages learning and using the best tools.


Starting salary will be up to £150,000 plus bonuses, which can be up to and beyond 100% of salary in the best years. You’ll be working in a modern, grade A office in Central London with food cooked by a Michelin chef and barista coffee. All of your culinary needs will be taken care of. Other benefits include private pension, private healthcare and much more.


Want to progress your skills, financial knowledge, and your overall career? Get in touch.


No up-to-date CV required.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.