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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Asia |
| |||
Investinu Group | United States | $9k - $11k | |||
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GSR | London, United Kingdom |
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Chainlink Labs | United States | $45k - $92k | |||
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Algo Capital Group | New York, NY, United States | $150k - $200k | |||
Genesis Global Trading, Inc. | New York, NY, United States |
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Cyber Capital | Amsterdam, Netherlands | $28k - $100k | |||
GSR | London, United Kingdom |
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GSR | London, United Kingdom | $54k - $87k | |||
Skyrocket Ventures | New York, NY, United States | $150k - $250k |
Binance
This job is closed
Quantitative Finance Product Manager
Asia /
Product & Design – Product /
Full-time: Remote
/ Remote
Apply for this job
Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
Responsibilities:
- Design and optimise the core logic of the exchange, including but not limited to order matching, settlement, account system, and user management system.
- Formulate the product logic, circulation details and development guidance of crypto derivatives and innovation services.
- According to the needs of risk management in crypto financial system, design risk control models, improve risk quantitative methods, and follow up the development of risk measurement tools.
- Be responsible for compiling and summarising various risk management reports. Carry out scenario analysis and risk stress test design.
Requirements:
- Have a deep foundation in statistics and quantitative finance, rich experience in system construction and demand analysis, and good data processing and analysis capabilities.
- Quantitative trading or risk control experiences in financial institutions are preferred.
- Master's degree or above in well-known universities. Financial engineering, risk management, mathematics, computer science, or other related majors are preferred.
- Proficiency in at least one computer language is a plus.
- Good learning ability, communication skill, and teamwork spirit.
Working at Binance
• Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry
• Fast moving, challenging and unique business problems
• International work environment and flat organisation
• Great career development opportunities in a growing company
• Possibility for relocation and international transfers mid-career
• Competitive salary
• Flexible working hours, Casual work attire
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Apply for this job
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.