Quantitative Analyst

Harrington Starr; Greater London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

An established industry player in investment management is seeking a Quantitative Analyst to join their central quant team. This exciting role involves supporting the team with research, programming, and data analysis using Python and SQL. Ideal candidates will contribute to developing quantitative models, optimizing portfolios, and enhancing data pipelines. With a focus on detail and strong communication skills, you'll play a vital role in investment decisions. If you're ready to take your career to the next level in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 1-2 years' experience in investment management.
• Strong programming skills in Python and SQL.

Responsibilities

• Develop and support quantitative models and investment decisions.
• Enhance data pipelines and automate processes.

Skills

Python

SQL

Statistical Analysis

Attention to Detail

Communication Skills

Education

Bachelor's degree in STEM

Master's degree in STEM

Tools

MATLAB

Job description

This range is provided by Harrington Starr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harrington Starr

Senior Recruitment Consultant - Quantitative Finance

Quantitative Analyst

Hybrid

City of London

My client, an investment manager based in the city, is seeking a Quantitative Analyst to join their central quant team. In this role, you'll support the quant team with research, programming, and data analysis in Python and SQL. Contribute to developing quantitative models, optimising portfolios, and enhancing data pipelines. Ideal candidates have 1-2 years' experience in investment management, a STEM degree, and strong programming skills.

Responsibilities:

• Develop and support quantitative models and investment decisions.
• Conduct research and statistical analysis for analysts and PMs.
• Develop portfolio optimisation tools and analytical models.
• Enhance data pipelines and automate processes.

Qualifications:

• 1-2 years' experience in investment management.
• Bachelor's or Master's degree in a STEM discipline.
• Proficiency in MATLAB or Python and databases.
• Strong understanding of asset pricing, risk management, and modern portfolio theory.
• Excellent attention to detail and communication skills.

Interested? Please reach out directly to [e-mail] or apply to this job advert.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology and Finance

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