Engineering
•
Published on
Jul 14, 2023
Senior Quantitative Software Engineer - Trading Technologies
Full-time
/
Remote
(annywhere)
The role
Join the Trading Technologies team and start building the internet of money by supporting the Sr Director of Engineering - Trading. The Trading Technology team is responsible for everything to do with the trading backend services such as the matching engine, market data gateways, internal and external APIs, and various other trading services. The Senior Quantitative Software Engineer will be a key contributor to the success of the Kraken Risk Desk team.
Responsibility
Develop quantitative models and algorithms to build trading strategies for the Kraken Risk Desk
Conduct research and analysis of large data sets to identify trends and patterns
Collaborate with cross-functional teams to ensure the accuracy and integrity of data
Develop, maintain and improve tools, systems and processes to streamline the data analysis and modeling process
Work with cross functionally with other engineering teams to ensure proper implementation of models in production systems
Participate in code reviews, identify and fix issues in the code, and develop testing frameworks
Stay up-to-date with the latest advancements in quantitative engineering and bring new ideas and techniques to the team
Performing other duties as required
What we are looking for
Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or related field
Minimum of 5 years of experience in quantitative engineering or related field
Experience developing high-performance, multi-threaded applications using several programming languages including C++
Knowledge of scripting languages such as Python
Experience working with large data sets and statistical models
Strong analytical and problem-solving skills
Ability to work in a fast-paced and dynamic environment
Excellent communication and collaboration skills
Nice to have
PhD in Mathematics, Statistics, Computer Science, or related field
Experience in machine learning and data mining
Experience working in finance or related industry
Experience with cloud computing technologies such as AWS or Azure
Experience with or knowledge of cryptocurrency is a plus
