Experienced Quantitative Researcher
As a firm, we are at the intersection of Scientific Research, Finance and cutting edge Technology. Financial markets have made a rapid shift from trading in the pit towards algorithmic trading, and our firm has developed into a FinTech company.
A successful Quantitative Researcher, first and foremost, must be an expert in mathematics and statistics. We are looking for someone who loves to work with numbers and code automated trading algorithms. You should have an innate desire to generate and backtest new trading ideas, with generation of alpha and automated strategies as ultimate output goals. You will work alongside Traders and Quantitative Researchers on state of the art trading solutions. If you have a passion to solve and code mathematical problems, then this opportunity is for you.
What you will do
- 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
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 (equity, fx, fixed income, options or crypto)
- 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
