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Learn 2 Quant

The Learn 2 Quant (L2Q) conference is a one day seminar designed for both discretionary and fully systematic PMs, analysts, and traders. L2Q features two tracks, one focused on the basics of employing a more quantitative process within a discretionary firm, and the second on advanced topics in quantitative analysis and leveraging new unique data sets.
June 20, 2017
September 14, 2017
October 11, 2017

Why Learn 2 Quant

The discretionary buy side world is currently undergoing a massive shift away from simply leveraging beta towards having to generate consistent idiosyncratic alpha. In order to achieve results in this new reality, the smartest firms are attempting to put in place a process to become more quantitative in their decision making and use new unique alpha generating data sets.

At the same time, an arms race is taking placing within the systematic world where firms are searching for uncorrelated sources of alpha in new data sets, and employing new quantitative analysis techniques to find it.

L2Q is a conference designed to explore both of these important trends. The main track is focused on teaching discretionary PMs, analysts, and traders the basics of quantitative research so that they can collaborate with the quants on their desk. Quants who work along side with them will also benefit from the main track as we explore the best ways to run the difficult process of melding fundamental analysis and quantitative decision making. The second track features topics in advanced quantitative analysis and use cases for new unique data sets within both fully systematic models and discretionary books.

Segments are taught by preeminent buy side, sell side, and unique data experts with vast quantitative and discretionary investment experience at Two Sigma, PDT PArtners, Wolfe Research, Deutsche Bank, WorldQuant, and others.

Key takeaways from L2Q
  1. What are the basic steps and concepts involved in the quantitative research process.
  2. How to build a collaborative process within your firm to implement an actionable focus on quantitative decision making.
  3. How to find, vet, and incorporate new tools and data sets into your models and decision making process.
  4. A roadmap for gaining further education towards implementing a more quantitative investment process.

Who Should Attend

Past Events

What Does a Quantitative
Analyst Do?
What's on the Horizon
for Quantitative Analysis?
What is the Strangest
Data Being Mined by Quants?

Past Sponsors

In The Press

The takeaway from the event was not that all hedge funds will soon be overtaken by computers. But understanding how to better use computers to inform investing will be a critical part of running a hedge fund for the foreseeable future.
Leslie Picker CNBC
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Estimize is an open financial estimates platform which facilitates the crowdsourcing of fundamental estimates from professionals (buy-side, independent, and sell-side analysts) as well as non-professionals (private investors, students, academics.) By sourcing estimates from a diverse community of individuals, Estimize provides both a more representative consensus and one that is more accurate than the sell-side 74% of the time. Currently, nearly 45,000 analysts contribute to Estimize, resulting in coverage on over 2,000 stocks each quarter.

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