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

Apply Now

Senior Quantitative Researcher, Systematic Equities.

Millennium Management
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Quantitative Researcher

Senior Data Scientist - Research

Quantitative Researcher (Machine Learning) - eFinancialCareers

Quantitative Researcher (Staff Data Scientist)

Senior Data Scientist / Machine Learning Engineer

Senior Data Scientist

Senior Quantitative Researcher, Systematic Equities

Senior Quantitative Researcher, Systematic Equities

Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.

A small, collaborative, and entrepreneurial systematic investment team is seeking a strong equities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.

Job Description

We are seeking a senior quantitative researcher to partner with the Senior Portfolio Manager to create alpha from various data sources for the systematic trading of global equity strategies.

Preferred Location

London or Dubai preferred

Principal Responsibilities

Work alongside the Senior Portfolio Manager on building alpha research pipelines:Understand the potential prediction power from data source and identify alphasIdentifying and processing dataset to create features or alphasPerforming various statistical analysis to ensure the robustness Mentor and guide junior team members

Preferred Technical Skills

Expert in Python (KDB/Q is a plus) Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts

Preferred Experience

4+ years of experience working in a systematic trading environment with a focus on equities 4+ years of hands-on experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.) Demonstrated successful in building uncorrelated alphas and in adding orthogonal value to the portfolios Established alpha research pipeline with production grade output The ideal candidate would have a few years of successful live trading history Strong experience in evaluating alphas with statistical methods Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment

Highly Valued Relevant Experience

Strong intuition about feature/data prediction power Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment Entrepreneurial mindset Curiosity and critical thinker Eagerness to learn and grow professionally Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort

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

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

🍪 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.