Start Up Fund Recruiting Equity Long Short Quants
- Hong Kong Hong Kong Hong Kong HK
- CDI, Plein-temps
- Eka Finance
- 19 juil. 18 2018-07-19
Fully systematic start up fund are recruiting equity quant research analysts who have 1-5 years experience. Location can be either in Paris or Hong Kong depending on your preference and situation.
As a member of the team, you will work on the full lifecycle of existing and new trading strategies. This will involve researching and back testing new strategies; C++ development of the trading platform & tools, enhancements to existing trading algorithms and the trading platform and managing day to day trading of models and profitability of strategies.
You will be responsible for:-
Identifying trading signals that are ripe for further research .
Back testing and optimizing new and existing models
Implementing new models
Executing and monitoring trades.
Typical holding periods will be long term ranging from 1- 2 months.
You will be reporting directly to the Head of Quant Research and working in a team of 9 quants.
You must have experience in one of these 2 areas to apply:-
Natural Language Processing: the candidate will be able to extract value from the text databases (like the 10-K) through a thorough process.
Quantitative Long Short Equity: they are looking for someone who has worked in the quantitative equity space for 3 years.
Your experience can be from a systematic fund, an asset management firm, an investment bank.
They will consider candidates from a range of holding periods experience but medium to low frequency are preferred.
You will be someone who is interested in working within a start up environment and passionate about quant research in such a place.
Ideally you should be a confident coder in C++ or Python.
You will be someone who is happy to be based in either Paris or Hong Kong.
Personality wise , you need to be a person who wants to work in a collaborative fund . This is not a place for people who want to work in a silo environment. A lot of team work is involved and people share ideas etc.
This an opportunity to work in a very transparent and meritocratic environment where you will have freedom to come up with your own research ideas.