Thematic Quant
Overview
As a thematic quantitative analyst, you will be responsible for developing robust quantitative or machine learning models to optimise the allocation of capital across a multitude of biotech and tech themes with careful consideration of industry dynamics and behavioural investor sentiment.
Key Duties & Responsibilities
Conduct structural and cyclical research over innovation thematics to optimize tactical asset allocation exposures
Carry out machine learning or quantitative modelling and analysis using a combination of economic, market, fundamental, and alternative data to deliver a systematic thematic asset allocation strategy
Deeply engage in feature selection, feature engineering, quantitative model design, hyperparameter tuning, and back-testing to maximize risk-return of the fund at the market level
Share insights with the broader macro, fundamental, and quant teams for the cross-pollination of ideas to enable strategy integration
Design, build, and maintain a quantitative strategy back-testing module and model monitoring tools
Core Requirements
Tertiary qualifications in Software Engineering, Computer Science, Finance, Mathematics, Statistics or a related field
Knowledge and capability to undertake statistical analysis, feature engineering, econometric modelling and forecasting, and/or training machine learning models.
Strong proficiency in Python, and solid experience in writing code.
A strong eye for detail and focus on accuracy of work.
Must be comfortable dealing with uncertainty and taking a view relative to consensus in the context of the financial markets.
Churchill Asset Management
This is a rare and exciting opportunity to join a buy-side global equities fund manager that specialises in identifying, evaluating, and investing in listed companies engaged in technological innovation: Innovation that is radically transforming the way we live and advancing human progress.
Our global equities investment programmes provide you with the opportunity to become an integral part of our global equities research team with responsibilities in one of the following key areas:
Fundamental equities research coverage of stocks underpinned by technological or biotechnological innovation
Quantitative portfolio strategies via development econometric and AIML models to defend against market risk.
Tailored access to institutional resources will be provided, allowing you to develop your approach to analysing listed companies and/or tactical investment opportunities that fall within the scope of our investment philosophy.
In-house fully customized internal quantitative data and model pipelines with an unique array of traditional and alternative data
Bloomberg serves as our financial terminal for analysts
Access to prime broker equities research as a point of reference
Valuation modelling training for our fundamental graduates and interns
The learning curve for early career candidates will be steep, however, formulating a compelling investment thesis is key to driving investment decisions within our portfolio.
SUBMIT YOUR APPLICATION NOW!
Applicants must log into their own Gmail account, or create one to ensure file security. Applications will be screened by position on a rolling basis. Submit your application today!
