Aspect Capital

Global systematic investment management firm

Research Intern

Quantitative ResearchPosted on Nov 9

InternshipLondon, UKNo salary listedHybrid

About the Job

Requirements

Programming ability in a high-level language such as MATLAB or Python.
Experience in computational statistics and numerical methods.
A solid foundation in statistics and probability.
Strong oral and written communication skills, including the ability to explain complex issues simply.
Deductive reasoning skills and the ability to analyse and synthesise information for problem solving.
Self-motivation, enthusiasm, attention to detail, and the ability to work effectively alone and collaboratively.
Must have completed the second year working toward a numerate degree or PhD.
Must plan to remain in full-time education until at least 2028.

Responsibilities

Develop novel systematic investment models.
Assess and propose portfolio improvements compatible with stated risk management goals.
Generate and develop written research and strategy materials.
Create and maintain investment management software.
Complete statistical analysis of market and non-market datasets.

Desired Qualifications

Experience in selecting and applying analytical techniques to real-world problems.
Basic knowledge of financial markets, including market microstructure and intraday dynamics.

Aspect Capital is an award-winning systematic hedge fund based in London. We manage over $9 billion of client assets. Research sits at the core of our investment process, playing a critical role in the success of our business.

The Role:
You will be responsible for your own set of projects, whilst also gaining valuable insight into the work of the team, and the functioning of the fund as a whole. More specifically, the work will entail:

Developing novel systematic investment models
Assessing and proposing portfolio improvements which are compatible with our stated risk management goals
Generating and developing written research and strategy materials
Creating and maintaining investment management software
Completing statistical analysis of market and non-market datasets

Your experience:

Programming ability in a high-level language: MATLAB or Python
Experience in computational statistics and numerical methods
A solid foundation in statistics and probability
Strong oral and written communication skills including the ability to explain complex issues simply
Deductive reasoning skills and the ability to analyse and synthesise information for problem solving
Self-motivation, enthusiasm, attention to detail and the ability to work effectively alone and collaboratively

We will be even more interested if you have any of these:

Experience in selecting and applying analytical techniques to real world problems
Basic knowledge of the financial markets, including market microstructure and intraday dynamics

Please note:
To be eligible for an internship with us, you must fulfil the following criteria:

You must have completed your second year working towards a numerate degree or PhD.
You must be planning on being in full-time education until at least 2028.

If this role is of interest to you, we would love to hear from you, please upload your CV and a covering letter.

About the Company

Aspect Capital

Global systematic investment management firm

Aspect Capital is a global manager of systematic, quantitative investments that uses computer-driven research and technology to design and run investment strategies. Their models analyze data to guide trading and portfolio construction, enabling automated or semi-automated execution. They differentiate themselves through a strong research culture, a large tech-enabled team of over 120 and $8.0 billion in assets under management, and being a certified B Corp focused on balancing profit with social and environmental impact. Their goal is to grow their quantitative models and research capabilities while delivering steady, repeatable returns for clients, guided by people, culture, and responsible business practices.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: London, United Kingdom
Founded: 1997

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