Who are we looking for
BlockTech is a high-paced algorithmic trading firm facilitating global decentralized trading in cryptocurrency derivatives while expanding to regulated markets.
We are growing like never before and we are looking for a Quantitative Trader who wants to join us in this exciting scale-up phase!
What will you do
As a Quantitative Trader, you ensure that the automated trading systems run smoothly. This means that your responsibilities include, but are not limited to managing your positions, interpreting market flow and events, evaluating trading performance and fine-tuning the automated trading algorithms.
You will become an expert in trading (cryptocurrency) derivatives and know how to assist the trading system in capturing opportunities when necessary.
Besides supervising the automated systems, you will actively collaborate with quantitative developers, software engineers and risk managers to develop new strategies and to improve the current trading set-up.
With your practical trading knowledge, you will design trading tools and test new strategies. Additionally, you will often weigh in on the priorities of new projects.
At BlockTech, you get a lot of responsibility. You have the freedom to choose the path that leads to the solution.
What is in it for you
A permanent full-time position in a relaxed and trendy office located in the heart of Singapore's financial district (CBD)
A competitive base salary combined with an attractive bonus plan based on your performance as well as the company's results
Additionally, outstanding performance is rewarded with the opportunity to buy into the trading fund
A highly collaborative and experienced Scrum/Agile team
The opportunity to use state-of-the-art technology
An extensive in-house training program
Delicious catered lunches at the office, Friday drinks, game nights, sports competitions, gym membership and frequent company trips and events!
An academic degree in Econometrics, Mathematics, Physics (or any other quantitative field)
Excellent numerical skills
Programming experience in Python
Proven versatility and ability to pick up new technologies and learn systems quickly
A positive can-do attitude and a creative mind
A sincere interest in financial markets
Willingness to commit long-term
Good written and verbal communication skills in English
