Quantitative analyst contributes to the design and management of execution algorithms for global equities, futures, and foreign exchange with the aim of continuously minimizing trading costs for our clients. BestEx Research quants will learn about algorithmic trading, data management, performance measurement, and market microstructure, globally. Quants are nested within a talented team of experts and practitioners in the field and may participate in writing research papers and interface closely with client research teams to improve trading costs. Our internal research environment includes tick-by-tick market data, historical backtesting simulators, instrument-level daily analytics and normalized order and execution data to facilitate new research. Our infrastructure allows speedy creation of execution algorithms and contains simulation capability for testing. Day-to-day responsibilities of this role may include but are not limited to:
● Contribute to end-to-end research and implementation of execution algorithms, including idea generation, data collection and cleaning, model development, evaluation, and improvement
● Work with Senior Quants and Product managers to produce custom client analysis and refine existing algorithms
● Maintain, and optimize data pipeline and ETL process for our analytics product
● Review results of production implementation including verification and testing.
● Document theory, models, and results for a variety of audiences
● Analyze and understand the idiosyncratic characteristics of client order flow and optimize execution algorithms
Requirements
● Highly motivated, willing to take ownership of work
● Collaborative mindset with strong independent research abilities
● Bachelors in computer science, data science or Masters in statistics, economics, quantitative finance, MBA (Finance) or other quantitative fields with a strong foundation in statistics and programming.
● Prior experience (0-3 years) building high frequency trading strategies, algorithmic trading strategies or statistical arbitrage is valued but not required
● Experience using data to answer questions and communicating the results, including model building
● Experience cleaning data, quickly and efficiently scrubbing, formatting, and manipulating large, raw data sources
● Strong command of the foundations of applied statistics and modeling
● Strong preference for demonstrated proficiency in SQL and R or Python, but experience using at least one programming language is required
● Experience with C++ valued but not required
● Excellent communication skills and ability to articulate ideas and work to colleagues and clients
