Senior Quant Research Analyst, Global Equities

Mason Blake; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player in global asset management is seeking a Senior Quant Research Analyst to join their innovative Quantitative Equity investment team. This pivotal role focuses on performing in-depth quantitative research and developing sophisticated models to enhance investment strategies. You will leverage advanced techniques, including machine learning and time series analysis, to extract alpha from the markets. If you have a strong background in quantitative research and a passion for equity markets, this is an exceptional opportunity to contribute to cutting-edge projects in a dynamic environment.

Qualifications

• 7-10 years of quantitative research experience in equity markets.
• Excellent coding skills in Python or R are preferable.

Responsibilities

• Perform in-depth quantitative research to support investment decisions.
• Build and maintain quantitative factor models using various methods.

Skills

Quantitative Research

Machine Learning

Regression Analysis

Natural Language Processing

Python

R

Time Series Analysis

Portfolio Construction

Education

Degree in Finance

Degree in Computer Science

Degree in Economics

Degree in Quantitative Field

Tools

Statistical Software

Job description

Senior Quant Research Analyst, Global Equities

Job details

Location: London

Date Posted: 9 February 2022

Category: Investment

Job Type: Permanent

Job ID: Competitive

Description

Our client, a top tier global asset manager, is looking to hire a Quantitative Research Analyst to join the Quantitative Equity investment team. This position will join the portfolio management team of a firm at the leading edge of equity factor-based investing. The purpose of this role is to perform quantitative research and deliver on complex projects.

Key Responsibilities:

1. Perform in-depth quantitative research of ideas to support investment decisions.
2. Build and maintain quantitative factor models using methods such as time series analysis, machine learning, regression, network analysis, and Natural Language Processing.
3. Develop portfolio construction tools to extract alpha from the markets.

Candidate Profile:

1. 7-10 years relevant quantitative research experience on the buy-side or sell-side.
2. Experience working in equity markets.
3. Good understanding of quantitative equity models.
4. Strong background in portfolio construction and optimisation.
5. Experience with machine learning is a plus.
6. Degree educated in Finance, Computer Science, Economics, or a Quantitative field.
7. Excellent coding skills in Python or R preferable.
8. Strong numerical, analytical, and research skills.

Mason Blake acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. Mason Blake is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.

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