Blockchain Quant: Predictive ML & Modeling (Remote)

Placeholder; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Placeholder is seeking an exceptional quant to join the Engineering department remotely. This role involves tackling complex predictive modeling challenges in the blockchain space, significantly impacting one of the biggest upcoming projects. The ideal candidate will have at least 3 years of experience with predictive models, familiarity with techniques like linear regression and neural networks, and practical knowledge of tools such as Numpy and Pandas. Join a world-class team in an innovative environment that emphasizes collaboration and quality.

Qualifications

• At least 3 years of experience building predictive models, preferably at a HFT firm.
• Creative, self-motivated, and independent.
• Excellent knowledge of predictive modeling techniques.
• Proven ability to build something significant from scratch.
• Bonus: Crypto-native.

Responsibilities

• Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior.
• Implement production-grade solutions and take end-to-end ownership of production prediction pipelines.

Skills

Predictive modeling techniques

Linear regression

Decision trees

Neural networks

Numpy

Pandas

Job description

Placeholder is seeking an exceptional quant to join the Engineering department remotely. This role involves tackling complex predictive modeling challenges in the blockchain space, significantly impacting one of the biggest upcoming projects. The ideal candidate will have at least 3 years of experience with predictive models, familiarity with techniques like linear regression and neural networks, and practical knowledge of tools such as Numpy and Pandas. Join a world-class team in an innovative environment that emphasizes collaboration and quality.