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

Apply Now

Quantitative Analyst

Lynott Partners
London
7 months ago
Applications closed

Related Jobs

View all jobs

Baseball Analyst/Data Scientist

Data Analyst

Data Analyst, Index (12-month fixed term contract)

Data Analyst

Data Analyst, Index (12-month fixed term contract)

Business Data Analyst

About Lynott Partners


Founded in November 2023 by Sebastian Jory, Lynott Partners is a nascent absolute return manager backed by long-term private capital with $750m of AUM. The current team of four focuses on UK and European equities. The business has the ambition and infrastructure to grow strategies beyond the core successful European long/short offering to long-only, global and quant mandates.


Role & Responsibilities


The role will encompass managing and delivering on Lynott’s quant and automation goals, and providing a strong data science backbone for the team.


More specifically, work will include:


  • Aiding PMs and analysts in automating data science workflows
  • Developing quantitative equity strategies with a combination of own initiative, and consulting with the team
  • Working with LLM APIs to professionalise internal AI tooling and potentially build related strategies
  • More general data science tasks and analysing signals from human decision-making in the team


A core contribution of the employee will be to build a future-facing tech stack, and manage the automation and data science builds.


Requirements


Experience in a sell-side or buy-side quant position, highly proficient in chosen programming languages (likely Python), statistical or mathematical background, experience with machine learning algorithms and data science toolkits, and some experience working with LLM APIs.


Key Skills


  • Highly proficient programmer
  • Project manager and communicator
  • Systems thinker with cloud service experience (e.g. GCP)
  • Experience with market-related APIs (e.g. Factset, VisibleAlpha) and add-ins (Bloomberg)
  • Experience with spreadsheet workflows, particularly GoogleSheets
  • Finance experience with an understanding of markets, companies


Expectations


  • Highly driven & motivated to produce best-in-class quant output and automation
  • Strong work ethic and commitment to integrity, honesty and personal growth

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

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.

Jobs

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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.