Quantitative Developer/Engineer - Equity Data Science

Job description

About Equity Data Science:

Equity Data Science (EDS) was founded in 2017 by a team of engineers, investors, and data scientists to commercialize a quantitative platform for fundamental investors, which has been in use at some of the top investment funds since 2012. EDS works with the world’s pre-eminent asset managers to implement their quantitative strategies into a SaaS platform.

Here is the link to the EDS LinkedIn page; https://www.linkedin.com/company/equitydatascience/

Who we are looking for:

An ideal candidate should be one that is proficient in R & Python and possesses a passion for data analysis and manipulation. The ideal candidate would also enjoy building products at a very fast pace and immediately seeing their work get used by our clients to make their investment decisions.

EDS are also looking for a candidate with no more than 3 years of experience and that are very motivated to work hard and succeed but also enjoy working in an office with other young, disciplined, and motivated people.

Must Haves / Preferred:

Knowledge of financial markets is a big plus but is not required, but you should be interested in it. You will learn it while you work and the better you learn the financial content the more successful you will be.

Note: Selection process includes 1 assignment and F2F interview rounds.

About Equity Data Science

EDS is a modern investment research platform (quantamental) that streamlines and enhances the workflows that drive your success - Idea Generation, Portfolio Construction, and Risk Management. EDS also solves challenges, unique to you, such as idea targeting, crowding risks, position sizing, factor awareness, earnings and expectations, projected valuation, and alternative data analytics.

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