## Responsibilities
Collaborate with risk managers and quant researchers to implement efficient risk library.
Implement and optimize core algorithms for risk models and pricing functions.
Develop real-time and ad-hoc risk tools and calculation engines for measuring and controlling various financial risks.
Help support live production risk management and operation across the exchange and clearing business, and cover both retail and institutional clients.
Analyze macro and micro market structure on crypto and other derivative markets, periodically review and calibrate risk models according to market conditions.
Closely engage with other team members from the product, risk, legal, finance, compliance, and technology teams, provide business requirements to technology team for model development in production systems.
## Requirements
Proficient programming skills in Python required, strong programming in Java/C++ preferred.
Masters or above in a quantitative discipline including computer science, financial engineering, math, physics, statistics, engineering, etc.
3 -8 years of working experience in quantitative development.
Good knowledge in risk models, derivatives pricing and options volatility surface is required.
Strong analytical skills, ability to present complex issues in a clear and concise manner.
Think critically and strive for continuous improvement, build up confident discussion and the ability to provide persuasive challenges on risk management as well as daily monitoring.
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