RociFi is hiring a
Web3 Quant Engineer / Credit Modeler

Compensation: $54k - $90k estimated

RociFi is building a new multi-chain DeFi primitive for zero and under-collateralized lending. At its core, the protocol enables lending on Web3.0 by utilizing decentralized identity and on-chain reputation and behavior.

We are looking to find an experienced Quant Engineer or Credit Modeler to join our existing Data Science team. You’ll be working on a variety of Machine Learning and financial engineering topics based in DeFi.

Tasks

  • Participate in technical specification design, technical roadmap, and implementation of the credit algorithms and risk metrics
  • Produce high quality and auditable code in Python
  • Work closely with Product owners and Data Scientists on design, performance, and ideation of new features

Requirements

  • Strong ML or AI background with proven experience in either credit or quant finance roles previously; either in TradFi or DeFi. A strong interest and passion for the potential of DeFi is essential, as well as a high degree of focus on security and scalability.
  • 3+ years experience in Quant or Credit Finance, or applicable experience in ML/AI
  • Proven experience in deployed projects or code by run in the real-world with real money
  • Strong understanding or ability to learn very quickly Cryptoeconomics, token standards, major protocols and primitives (loans, AMM, DEX) and the resulting behavior and data
  • Self-starter with minimal supervision and insatiable curiosity for data and experimentation
  • Fluency in Python

Bonus Knowledge

  • 2+ years in general software or data engineering a big plus
  • ML-driven Network Analysis experience
  • Familiarity with standard DevOps tooling
  • Openness to accepting payment in USDC

Benefits

  • Unique chance to work in the ground-breaking company that is working to define one of the key Web 3.0 primitives
  • Building one of the most important parts of the modern DeFi infrastructure
  • Flexible working hours
  • Remote first company with no geographical headquarters

Apply Now:

This job is closed

Compensation: $54k - $90k estimated

This job is closed


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