DeFi Risk Quant Developer

ellipsislabs.xyz

Northern, New York (KY, NY)

Hybrid

USD 150,000 - 230,000

Full time

14 days+
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Job summary

Ellipsis Labs in New York is seeking a Quantitative Developer - Risk to own risk across the platform, from setting the parameters that keep our markets safe to building the infrastructure that lets us list new assets faster and support entirely new asset classes.

You will maintain the core on-chain margin engine and off-chain risk services, own risk parameters across assets reflecting market conditions, and design risk frameworks for emerging asset classes while building scalable tooling in

Qualifications

  • Strong quantitative foundation with degree or equivalent experience in math, statistics, physics, engineering, computer science, or related field.
  • Experience shipping production software, not just research/analysis.
  • Ability to make informed decisions independently and drive projects to completion.

Responsibilities

  • Maintain and improve the core on-chain margin engine and off-chain risk services.
  • Own and maintain risk parameters across assets, reflecting current market conditions and platform risk tolerance.
  • Support the end-to-end process of listing new assets, including scoping and implementing unique risk considerations.
  • Design and build the risk framework for emerging asset classes.
  • Build tooling and infrastructure that make risk management scalable.
  • Independently scope and drive large, ambiguous projects with cross-functional teams.

Skills

Quantitative foundation
Software development
Autonomy
Team collaboration
DeFi passion

Education

Math/Stats/Engineering/CS degree

Tools

Rust

Job description

Ellipsis Labs in New York is seeking a Quantitative Developer - Risk to own risk across the platform, from setting the parameters that keep our markets safe to building the infrastructure that lets us list new assets faster and support entirely new asset classes.

You will maintain the core on-chain margin engine and off-chain risk services, own risk parameters across assets reflecting market conditions, and design risk frameworks for emerging asset classes while building scalable tooling in

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