Senior Quantitative Equity Researcher

This position is part of our research team and entails empirical research into U.S. and global equity market inefficiencies. Must be familiar with fundamental, expectational and market data, have solid knowledge of asset pricing literature, and strong programming skills. Responsibilities include exploratory data analysis, testing various statistical approaches, developing and enhancing models, and reviewing financial literature. Ideal candidate would be self-motivated with minimum 3 years of empirical equity research experience and a PhD in Finance, Econometrics, or related quantitative discipline, with a strong background in technical computing and statistics.

We are seeking a Senior Quantitative Equity Researcher with a strong background in technical computing and statistics to join our research team. The team is responsible for researching all aspects of the investment process from data processing and alpha modeling through to portfolio optimization. Our researchers work collaboratively to contribute to our firm's leading edge, innovative investment process. We seek people who are passionate about equity investment and motivated to outperform the market.

Responsibilities include:

* Conducting exploratory data analysis

* Empirical research into U.S. and global equity market inefficiencies

* Reviewing financial literature

* Developing new and improving existing investment models by identifying novel investment ideas and innovative data sources

* Creating innovative investment strategies

Ideal candidates will look to combine creative insights with research to make sound investment decisions.

Requirements include:

* PhD in Finance, Economics, Statistics, or related quantitative discipline

* At least 3 years of empirical equity research experience

* Familiarity with fundamental, expectational and market data.

Experience with alternative data is a plus

* Solid knowledge of asset pricing literature

* Ability to think independently with good economic intuition and demonstrated record of original research

* Strong programming skills (Python, R, Julia, C++, etc.), preferably experienced with large datasets and also familiar with parallel programming

* An understanding of Machine Learning, Natural Language Processing, and AI Engineering is a plus

* Ability to work collaboratively across departments and to explain challenging technical concepts