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Quantitative Research Engineer

3 weeks ago

Singapore BLOCKSYS PTE. LTD. Full time

As our Innovative Quantitative Trader, you won't just be trading; you'll be pioneering. We expect you to bring a fresh perspective, tapping into alternate and macro data sources, and coupling that with an in-depth understanding of technical indicators to construct robust, future-proof trading strategies.

**Key Responsibilities**:

- Research and develop cutting-edge MFT strategies, particularly within the cryptocurrency domain.
- Incorporate a rich tapestry of data sources, including alternate and macroeconomic data, to predict and capitalize on market movements.
- Provide in-depth analysis of technical indicators, synthesizing their significance in constructing and enhancing trading strategies.
- Ensure the robustness, resilience, and low latency of our trading models in live environments.
- Liaise closely with our technical team to ensure seamless strategy implementation.
- Stay on the pulse of market trends, technological advancements, and best practices to keep our strategies ahead of the curve.

**Required Qualifications and Skills**:

- Demonstrable experience in medium frequency trading, with a spotlight on cryptocurrency markets.
- Mastery over Python and associated data analytics and machine learning toolkits.
- A profound understanding of technical indicators and their pivotal role in trading strategy development.
- Experience with modeling techniques that incorporate a diverse array of data sources.
- Solid grounding in the technicalities of both centralized and DeFi platforms.
- Analytical, innovative, and technically adept, coupled with excellent communication skills.
- Degree in Finance, Mathematics, Computer Science, or other quantitative domains.

**Preferred**:

- Prior exposure to a highly technical and nimble proprietary trading environment.
- Familiarity with risk management practices within the trading sphere