Quantitative Trader

2 weeks ago

Singapore BlockTech Full time

**Who are we looking for?**
BlockTech is a high-paced algorithmic trading firm that facilitates global decentralized trading in cryptocurrency derivatives while expanding to new 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's in it for you?**
- A permanent full-time position in a relaxed and trendy office located in Singapore
- A competitive base salary combined with a very attractive bonus plan based on your performance as well as the company’s results
- Additionally, outstanding performance is rewarded with shareholding
- 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, company events, a gym membership and much more
- 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

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