Partnered with a tier one investment looking to expand headcount within their Algorithmic Trading Quant team. This specific team is responsible for the research, design, implementation, and maintenance of Equities Execution Algorithms. The role offers the opportunity to develop cutting edge algo trading strategies as well as spearhead new initiatives for the desk.
Partnered with a tier one investment looking to expand headcount within their Algorithmic Trading Quant team. This specific team is responsible for the research, design, implementation, and maintenance of Equities Execution Algorithms. The role offers the opportunity to develop cutting edge algo trading strategies as well as spearhead new initiatives for the desk. The head of the team is ideally targeting individuals with hands on experience in execution analysis, market microstructure research, and algo implementation. Further Requirements and Responsibilities below:
Responsibilities:
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Research new ideas to enhance existing as well as develop new algorithms (such as VWAP and liquidity seeking)
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Conduct analysis of large datasets (ex. market data & orders) as well as support initial model validation
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Partner with risk, sales, technology and product teams to ensure proper governance/compliance
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Create tools and back testing frameworks for performance analysis
Requirements:
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5+ years of experience in an algorithmic research/analyst seat (will still consider strong candidates from tech sectors but preferably from the finance industry)
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Deep understanding of algorithmic trading and market microstructure within Equities
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Strong programming skills in Python (will consider development focused candidates as well if they have strong Java skills)
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Preferred: experience building custom execution algorithms and execution trading platforms
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KDB experience is a plus but not required
