Quantitative Risk Engineer — DeFi Platform

Ellipsis Labs

New York (NY)

On-site

USD 180,000 - 250,000

Full time

14 days+

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Job summary

Ellipsis Labs, a New York-based startup, seeks a Quantitative Developer - Risk to own risk across our DeFi platform and asset listings. You will help maintain the on-chain margin engine, set risk parameters, and build scalable risk tooling while working with trading, engineering, and research teams.

You will drive large, ambiguous projects, design risk frameworks for emerging asset classes, and contribute to the listing of new assets.

Qualifications

  • Strong quantitative foundation with degree or equivalent experience, e.g., math, statistics, physics, engineering or CS.
  • Experience building and shipping production software.
  • Ability to make informed decisions independently and drive projects to completion.
  • Demonstrated high-agency and team-first attitude with willingness to tackle unfamiliar areas.
  • Passion for decentralized finance.

Responsibilities

  • Maintain and improve the core on-chain margin engine and off-chain risk services.
  • Own risk parameters across assets to reflect market conditions and risk tolerance.
  • Support listing new assets including risk considerations.
  • Design and build risk framework for emerging asset classes.
  • Build tooling and infrastructure for scalable risk management.
  • Scope and drive large projects from specification to production with cross-team collaboration.

Skills

Quantitative
Production software
Independent decision making
High agency
DeFi passion

Education

Math/Statistics/Physics/Engineering/CS degree

Tools

Rust
Blockchain technology

Job description

Ellipsis Labs, a New York-based startup, seeks a Quantitative Developer - Risk to own risk across our DeFi platform and asset listings. You will help maintain the on-chain margin engine, set risk parameters, and build scalable risk tooling while working with trading, engineering, and research teams.

You will drive large, ambiguous projects, design risk frameworks for emerging asset classes, and contribute to the listing of new assets.

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