Quantitative Developer

1 г. назад

South KoreaWorldwideOnsite

algorithmic tradingdata analysisquantitative finance

Develop frameworks and tools for researchers and traders to generate and implement trading ideas using innovative technologies at Presto.

About Presto Founded in 2014, Presto is an algorithmic trading and financial services firm with a global presence. Presto focuses on delivering exceptional value for clients through a rigorous research-driven approach to investment and trade execution. As a Quant Developer at Presto You will develop frameworks that help researchers and traders generate and implement various trading ideas derived from the data using innovative technologies. You will also develop tools for implementing and managing strategies. You will work with the world’s top-class quantitative engineers, researchers, and traders of Presto Labs, and experience a lot of cutting-edge technologies.

Collaborate with and support Quantitative Researchers and Traders on signal/alpha and strategy development
Collaborate with external exchanges to integrate and optimize trading operations, ensuring seamless connectivity and data exchange.
Build a robust, expandable research infrastructure, including global market data analysis, automated alpha/signal search, simulation, and performance evaluation
Build a platform to process all parts of quant trading - data processing, model building, optimization, and execution
Build visualization, monitoring, and reporting tools for live trading and simulation (market/position/profit and loss/any other statistics related to trading)

Bachelor’s degree or higher in computer science or other quantitative disciplines
Proficiency in C++ and Python
Understanding of object-oriented programming
Experience in Unix/Linux environments
Ability to manage multiple tasks and thrive in a fast-paced team environment
Excellent analytical skills
Ability to take the initiative and work without detailed guidance or supervision

2+ years of experience and proven track records in the software development industry or relevant experience (portfolio of achievement while in Master's or Ph.D. program, for instance)
Experience in quantitative analysis and algorithms
Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
Proficient English communication skills for business conversations and written communication