Senior Quant Trader - Anson McCade
Anson Mccade Singapore Full-time
125,000 - 250,000 SGD
Formulaic Bonus
Onsite WORKING
Location: Singapore, Singapore - Singapore Type: Permanent
Quantitative Researcher/Trader - Singapore/Hong Kong
Anson McCade have partnered with a high-speed trading firm operating across proprietary trading and market making. They can hire globally, and have infrastructure for latency-sensitive trading and intraday/mid frequency strategies across liquid markets in Cash Equities, Futures, Options/Volatility, and FX.They are looking to expand their trading business by adding Senior Quant Traders to their Singapore office.
The firm is currently looking for Quantitative Traders with experience working on both the research and trading of strategies, including book management/ownership. This is an opportunity for candidates with experience in market making/position taking with Sharpes of 3+, or intraday/mid frequency trading with Sharpes of 2+ to develop, implement and manage their own strategies and build out a new desk within the group.The successful candidate will have their own book, lead a team, and will receive a PnL % payout with guaranteed first year compensation.
The Role:
- Researching, implementing and executing strategies.
- Monitoring the performance of strategies, and optimising them to maximise returns.
- Analysing patterns in the market to identify tradable opportunities.
- Building your desk and collaborating with the team on the development of analytics tools, libraries, and infrastructure.
About you:
- Experience at a buyside firm, working in Quantitative Research and Trading of options with a strong record of performance.
- Master or PhD level degrees from a top university, in a numerate field of study.
- You must be an experienced user of Python, Java or C++.
Trading
Anson McCadeSingapore
200,000 - 250,000 USD
Performance Bonuses and Compensation Guarantees
Onsite WORKING
Location: Singapore, Singapore - Singapore Type: Permanent
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• Conduct alpha research, backtesting, and implementation of systematic stat arb strategies
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• Optimize...