Quantitative Trading & Research - eTrading - Vice President
On-site · Singapore, Singapore
Job Summary
Lead the QR eTrading team locally to drive algo execution product research and development; Partner with product teams and trading desks to design and build client-centric solutions; Collaborate with quant researchers and trading desks to refine models and strategies that enhance algorithm performance; Build robust algorithms on an execution platform by collaborating with technology partners to integrate quantitative models and deliver optimal solutions within the algo trading engine; Support diagnosis of trading decisions by explaining model and algorithm behavior, conducting scenario analyses, and developing quantitative tools and data analytics; Validate production implementations for fidelity with the original research specifications.
Required Qualifications
- Masters in STEM subjects such as computer science, engineering, mathematics/statistics, physics, operations research
- 5 years of experience in algorithmic execution strategies or trading platforms
- Knowledge of cash equity markets, microstructure and market impact
- Relevant experience in quantitative research, electronic trading, or related fields
- Advanced knowledge of mathematics and statistics (probability theory, time series, econometrics, causal inference)
- Exceptional analytical, quantitative and problem-solving skills
- Strong written and verbal communication skills
- Experience with kdb+/q
- Experience coding in Java or C++
- Experience with Python, AWS and/or other database/data processing technologies
- Experience with alpha researches and their application in algo executions
- Experience with stochastic control, stochastic/numerical optimization techniques relevant to single stock or portfolio trading strategies
- Experience with writing production grade implementations for trading systems in Java/C++
- Familiarity with machine learning and deep neural networks
Desired Qualifications
- Masters in STEM subjects such as computer science, engineering, mathematics/statistics, physics, operations research
- 5 years of experience in position(s) on algorithmic execution strategies or trading platforms
- Knowledge of cash equity markets, microstructure and market impact
- Relevant experience in quantitative research, electronic trading, or related fields
- Advanced knowledge of mathematics and statistics (probability theory, time series, econometrics, causal inference)
- Exceptional analytical, quantitative and problem-solving skills
- Strong written and verbal communication skills
- Experience with kdb+/q
- Experience coding in Java or C++
- Experience with Python, AWS and/or other database/data processing technologies
- Experience with alpha researches and their application in algo executions
- Experience with stochastic control, stochastic/numerical optimization techniques relevant to single stock or portfolio trading strategies
- Experience with writing production grade implementations for trading systems in Java/C++
- Familiarity with machine learning and deep neural networks
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