Quantitative Researcher - Execution Services.

Millennium Management; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading asset management firm in London is seeking a Quantitative Researcher to enhance trading and execution strategies through statistical modeling. The ideal candidate will have over 5 years in Quantitative Finance, experience in developing alpha models, and a strong educational background in statistics. This role offers an opportunity to collaborate across the business with a focus on innovation in market-making processes.

Qualifications

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

Responsibilities

• Design and develop models to assist in alpha generation.
• Employ methods to avoid overfitting and enhance performance.
• Collaborate with team members on platform design and architecture.

Skills

Quantitative Finance experience

Alpha model development

Statistical theory understanding

Python proficiency

KDB proficiency

Education

PhD or Master's degree in Statistics

Job description

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Quantitative Researcher - Execution Services, London

Client:

Location: London, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Reference:

8ed1c70c66dc

Job Views:

22

Posted:

12.08.2025

Expiry Date:

26.09.2025

Job Description:

Quantitative Researcher - Execution Services

The Central Liquidity Strategies (CLS) business manages a number of portfolios and products designed to optimize the firm’s trading and execution approach by providing internal liquidity solutions for portfolio managers on both a risk and agency basis.

We are seeking an Alpha Researcher with experience in return / toxicity forecasting as it relates to market-making business offering pricing on larger blocks of equities either via outright risk pricing or other product structures.

Principal Responsibilities

1. 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; combination of multiple signals to produce a single usable alpha for different contexts and attribution of performance; robust estimation of key metrics such as signal correlations, decay, turnover, and risk.
2. Rigorous Grounding: Given inherent complexity and high dimensionality, employ methods to avoid overfitting and poor out-of-sample performance based on sound statistical reasoning.
3. 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

1. 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.
2. 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.
3. Technical Skills: Proficiency in Python and/or KDB, preferably both.