Senior Quantitative Software Engineer - Trading Technologies
Posted on Friday, April 21, 2023
Building the Internet of Money
Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.
What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the adoption of cryptocurrency so the world can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.
Before you apply, please read the Kraken Culture Explained to learn more about our internal culture, values, and mission.
As a fully remote company, we have Krakenites in 60+ countries who speak over 50 languages. Krakenites are industry pioneers who have a long track record of building premium products for professionals and institutions as well as newcomers to the space. Kraken is committed to industry-leading security through our products like Kraken Pro, Kraken NFT, and Cryptowatch, with a focus on world-class customer support and crypto education for all.
Become a Krakenite and build the internet of money!
Proof of Work
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.
- 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
Skills you should HODL
- 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
- Experience with or knowledge of cryptocurrency is a plus
Nice to Haves
- 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
Location Tagging: #US #EU #LI-Remote #Canada #LI-VF1
Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!
As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
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