Quantitative Researcher - Execution Services

Millennium Management, LLC; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A financial services firm in London seeks a Quantitative Researcher to design models for alpha generation. Candidates should have over 5 years of experience in Quantitative Finance and a strong academic background in Statistics. Proficiency in Python and KDB is preferred. This role offers an opportunity to collaborate closely with business stakeholders and develop innovative solutions.

Qualifications

• 5+ years of experience in Quantitative Finance.
• Proven track record of developing robust alpha models.
• Excellent understanding of statistical and machine learning theory.

Responsibilities

• Design and develop models to assist in alpha generation.
• Employ methods to avoid overfitting based on statistical reasoning.
• Collaborate with team members on platform design and direction.

Skills

Quantitative Finance

Statistical methods

Python

KDB

Education

PhD or Master's degree in Statistics

Job description

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Quantitative Researcher - Execution Services, London

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 9f9eaa0a45b3

Job Views: 4

Posted: 12.08.2025

Expiry Date: 26.09.2025

Job Description:

Responsibilities

• Modelling: Design and develop models to assist in alpha generation. Areas include: Automated evaluation of signal performance over time and feature engineering techniques to drive improvements. Robust estimation of key metrics such as signal correlations, decay, turnover, and risk.
• Rigorous Grounding: Given inherent complexity and high dimensionality, employ methods to avoid overfitting and poor OOS performance based on sound statistical reasoning.
• Collaboration: Work with team members to decide the overall direction, design, and architecture of the platform, and collaborate with key stakeholders across the business.

Qualifications/Skills Required

• Required Experience: 5+ years of experience in Quantitative Finance setting, with a proven track record of developing robust alpha models, preferably in an Equities context.
• Education: PhD or Master's degree in Statistics, or a related field with an excellent understanding of the theory behind statistical and machine learning methods.
• Technical Skills: Proficiency in Python and/or KDB, preferably both.