Seeking Quant (Python Required) for Investment Modeling. Team = Harvard PhD, Fintech Founder, Data Science Lead from $1B+ Hedge Fund

Hi All!

We have a team that is exploring an investment strategy in a relatively illiquid market. Our team has extensive prior experience getting high returns in this market with a fundamental strategy but we think it can be substantially improved with a quantimental strategy.

We are looking for somebody with 10-20 hours a week to help with modeling and backtesting. Our lead developer/tech advisor is a brilliant dev who built the data science team at a multi-billion dollar hedge fund. He is helping with the strategy, but he only has an hour a week so is not able to do the nitty gritty (spinning up AWS, getting all the data ready, then doing many rounds of modeling and backtesting). He knows exactly what needs to be done, but we need somebody with the time and skills to help as he only has an hour a week or so.

Our goal is to spend no more than 2-3 months on modeling and backtesting based on some specific hypotheses we want to test. If our hypothesis is correct, then we will raise a small fund (probably 1-3 million dollars to start) to implement it. We have access to the capital immediately if the modeling is successful.

Must Have:

• excellent knowledge of statistics/econometrics/quant-finance (they almost certainly code in Python or R)
• experience working with AWS

Nice to Haves:

• finance background and/or proficiency with financial data including order information, price data
• spent a couple years in a quant role at a hedge fund. Sell side quants could also work.

If interested, comment below or email evin19347 @ googles mail domain.