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Collaborate with Traders and Quant Researchers to optimize and improve trading strategies
Research and analyze financial data to find exploitable patterns
Design and implement complex quantitative models and automated trading algorithms
Day in the Life
You arrive at the office and walk into the lounge to get yourself a sandwich and a glass of orange juice and while you are at it, you bring some coffee for your teammates. You log in to your computer and walk towards the huddle area to listen to the daily morning meeting which gets us up to speed on what has happened over night and the most important things to expect for today.
After the morning meeting you start running the quantitative models that are already in production and send updated parameters to Traders so they can put it in their trading engine. Thereafter it is mostly programming, you start working on your to-do list which are mostly researching and designing new trading algorithms, but projects can range from statistically investigating a trading idea in Python, R or MATLAB to coding new improved versions of trading algos in JAVA. As an example today you have been working on a bug in one of the trading algorithms that you wrote as we noticed it doing some weird trades.
After lunch you continue where you left off and try to finish any projects with pressing deadlines, or ad-hoc research requests that come in. As most European exchanges close, you shut down your PC and head home. However, on Fridays it usually worthwhile to stay and have a drink at our in-house bar where some good old jokes usually leads to a counterstrike team battle at our gaming room combined with a few beers.
What you need to Succeed
2-7 years quantitative research experience with a focus on pricing and hedging strategies at a market maker
A Master degree in Econometrics, Mathematics, Physics, Statistics, Computer Science or similar (PhD preferred)
Strong understanding of market microstructure in the asset class of expertise
Proficient in programming (e.g. Java and Python)
Experience in low latency set ups
Strong mathematical and statistical skills
Ability to reason logically, deliver under pressure and take ownership
Competitive attitude, eager to learn, proactive and able to work in a team
Excellent verbal and written English skills
Please apply through our website with a CV and convincing cover letter. You might receive an invitation for an aptitude test. During the recruitment process, you will meet several people from the Quant and Trading teams who will test your problem solving skills and your mathematics background. Do you love solving puzzles? Great, then this could be the job for you!