Quantitative Analyst

Lynott Partners
London
9 months ago
Applications closed

Related Jobs

View all jobs

ESG Data Scientist

Data Analyst

Data Analyst

Senior MI & Data Analyst

Senior Credit Risk and Data Analyst

Senior MI & 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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.