Quantitative Researcher, Equity

Millennium Management; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking firm as a Quantitative Researcher in London, where you will collaborate on innovative systematic equity strategies. This role emphasizes alpha research, data analysis, and model implementation, allowing you to leverage your strong programming skills in Python and quantitative expertise. Engage with a team that values economic intuition and critical thinking, while contributing to the investment process through robust predictive models. If you are passionate about financial insights and statistical learning, this opportunity offers a dynamic environment to make a significant impact.

Qualifications

• 3-5 years of experience in cash equities strategies focused on alpha research.
• Strong programming skills in Python and experience with alternative data sources.

Responsibilities

• Conduct alpha research focusing on idea generation and model backtesting.
• Analyze diverse datasets to build predictive models for investment strategies.

Skills

Python Programming

Statistical Analysis

Data Gathering

Model Implementation

Backtesting

Critical Thinking

Education

Masters or PhD in Computer Science

Masters or PhD in Applied Mathematics

Masters or PhD in Statistics

Job description

Quantitative Researcher, Equity

Job Description: Quantitative Researcher, Equity

Job Description

Quantitative Researcher as part of a collaborative team based in London, with a focus on systematic equity strategies.

Preferred Location

London

Principal Responsibilities

• Working alongside the SPM on alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategies
• Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
• Collaborate with the SPM in a transparent environment, engaging with the whole investment process

Preferred Technical Skills

• Strong research and programming skills in Python are necessary
• Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field from a top ranked university

Preferred Experience

• 3-5 years of experience with cash equities strategies doing alpha research
• Demonstrated ability to understand fundamental and event related data and experience with alternative data sources

Highly Valued Relevant Experience

• Strong economic intuition and critical thinking
• Product experience in statistical arbitrage strategies

Target Start Date

• As soon as possible