Quantitative Jobs in Web3
290 jobs found
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kraken Digital Asset Exchange | Remote | $81k - $100k | |||
Kronos Research | Singapore, Singapore |
| |||
Ava Labs | New York, NY, United States | $99k - $140k | |||
Kronos Research | Hong Kong, Hong Kong | $58k - $80k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kronos Research | Hong Kong, Hong Kong | $25k - $85k | |||
GSR | London, United Kingdom | $81k - $189k | |||
Ripple | London, United Kingdom | $27k - $45k | |||
Injective Labs | New York, NY, United States | $36k - $85k | |||
Kronos Research | Hong Kong, Hong Kong | $58k - $80k | |||
Kronos Research | Hong Kong, Hong Kong | $72k - $91k | |||
Kronos Research | Shenzhen, China | $25k - $85k | |||
CoinDesk | New York, NY, United States | $108k - $147k | |||
Relative Finance | Remote | $70k - $200k | |||
OKX | Hong Kong, Hong Kong | $81k - $100k | |||
Kronos Research | remote | $9k - $11k |
Kraken Digital Asset Exchange
$81k - $100k estimated
This job is closed
Senior Quantitative Software Engineer - Trading Technologies
Remote Anywhere /
Engineering – Backend /
Remote Full-time
/ Remote
Apply for this job
Building the Internet of MoneyÂ
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.Â
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.Â
Become a Krakenite and build the internet of money!
Proof of Work
The team
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.
The opportunity
- 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.Â
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What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.