The Quantitative Trading & Research (QTR) e Trading Team design and implement trading algorithms to integrate client solutions across various functions. This team contributes to the design and implementation of the algorithmic trading products where they integrate quantitative research and data analytics for client solutions across various functions in electronic trading.

Our team partners with the electronic trading desk and technology teams to develop sophisticated mathematical models, cutting-edge methodologies and infrastructure to improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. The Quantitative Researcher function within the QTR e Trading team works closely with other quant researchers, the algo development team and the product team to deliver global solutions for our clients.

As a Vice President in the QR e Trading team, you will lead the design and implementation of the algorithmic trading platform, integrating quantitative research, data analytics, and client solutions across various functions within e Trading. You will apply optimization techniques to enhance trade scheduling for both single stocks and portfolio trading in the algo engine. Collaborating with researchers in the QR team and working closely with the electronic trading product and algo development technology teams, you will have the opportunity to guide and shape the direction of the platform.

Job Responsibilities

• Lead the QR e Trading team locally to drive algo execution product research and development
• Partner closely with the product team and trading desks to design and build client centric solutions
• Collaborate with quant researchers and trading desks to refine models and strategies that enhance our algorithm performance
• Build robust algorithms on cutting-edge execution platform by collaborating closely with our 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, capabilities, and skills

• 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 to break down complex high dimensional decision variable problems into smaller tractable subproblems.
• Strong written and verbal communication skills, with proven ability to communicate complex research ideas clearly and precisely, both in writing and verbally.
• Experience with kdb+/q.
• Experience coding in Java or C++

Preferred qualifications, capabilities, and skills

• 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.