Location: New York, NY, United States

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

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 eTrading team works closely with other quant researchers, the algo development team and the product team to deliver global solutions for our clients.

Job Summary

As an associate in the QTR eTrading team, you will contribute to the design and implementation of the execution algorithms, integrating quantitative research, data analytics, and client solutions across various functions within eTrading. You will apply portfolio optimization techniques to enhance trade scheduling for both single stocks and portfolio trading in the algo engine. Collaborating with researchers in the QTR 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               

• Solve and implement numerical algorithms that address the optimization challenges in trade scheduling for multi-period single stock and portfolio products

• Build robust algorithms within the production platform which will involve collaborating closely with our technology partners to integrate and deliver optimization solutions within the algo trading engine

• Support diagnosis of trading decisions by explaining model and algorithm behavior, conducting scenario analyses, and developing statistical tools and data analytics. 

• Validate production implementations for fidelity with the original research specifications. 

• Collaborate with quant researchers and trading desks to refine models and strategies that enhance our trading performance

• Work closely with the product team and trading desks to design and build client centric solutions

Required qualifications, capabilities, and skills

• Masters in STEM subject such as computer science, engineering, mathematics/statistics, physics

• Experience with optimization techniques relevant to trading strategies

• Experience coding in python, Java or C++

• Experience working on algorithmic trading platform

• Strong analytical, quantitative, and problem-solving skills

• Strong written and verbal communication skills, with the ability to communicate well with business users and technology teams

Preferred qualifications, capabilities, and skills

• Preferred PhD in STEM subject or independent research experience

• 1 to 3 years preferred experience in position(s) with similar responsibilities/technologies area 

• 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++

• Experience with Python, AWS and/or other database/data processing technologies

• Experience with q/kdb or similar 

• Knowledge of cash equity markets and microstructure

 

The Quantitative Trading & Research (QTR) Team design and implement trading platforms to integrate client solutions across various functions