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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
BitMEX | Singapore, Singapore | $30k - $70k | |||
BitMEX | Hong Kong, Hong Kong | $105k - $111k |
BitMEX
$30k - $70k estimated
This job is closed
The Team
- The Trading Engine sits at the core of the BitMEX platform and handles all brokerage and trading aspects. The Trading Engine team is responsible for order management, risk checking, position keeping, PNL calculations, derivatives pricing, risk management, market data distribution, order matching, and settlement
- We are building a best-in-class engineering team to help us scale the BitMEX trading platform to millions of users and millions of transactions per second. We are looking for strong technologists with physics/quantitative background who can help us shape the crypto exchange of the future
Responsibilities
- Develop and maintain an ultra-low latency trade logistic systems
- Work with quantitative analysts to continuously optimize existing and develop new models/algorithms to facilitate risk controls and improve user experience
- Maintain and optimize order management, margin and risk management systems
Qualifications
- 5+ years programming experience writing latency sensitive applications in Java
- Excellent understanding of the fundamentals of modern software development (TDD, BDD, Domain-driven design, SOLID)
- Some experience at a Hedge Fund, Investment Bank, or Exchange developing financial trading applications would be beneficial
- Knowledge of execution algos, risk management systems in investment banks, brokers, mutual funds are great bonuses
- Computer Science/Mathematics/Physics degree preferable
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.