Quantitative Researcher
Skills
About the Role
You will develop predictive models for transaction dependencies, user behavior, and network behavior in the blockchain space. You will prototype and evaluate multiple modeling approaches for open-ended problems, then implement production-grade solutions and take end-to-end ownership of prediction pipelines. You will apply techniques such as linear regression, decision trees, and neural networks and use numpy and pandas to build robust, performant systems. Experience in high-frequency trading or environments where predictive analytics directly impacted the bottom line is a plus.
Requirements
- At least 3 years of experience building predictive models, preferably at a high-frequency trading firm.
- Excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets.
- Proficiency with numpy and pandas.
- Proven track record building significant projects from scratch.
- Creative, self-motivated, and independent.
- Bonus: crypto-native.
Responsibilities
- Develop predictive models for transaction dependency, user behavior, and network behavior.
- Prototype and evaluate multiple modeling approaches for open-ended problems.
- Implement production-grade prediction solutions and own end-to-end production pipelines.
- Apply predictive modeling techniques including linear regression, decision tree, and neural network.