ole Overview
We are hiring a Staff Quantitative Engineer to own the design and evolution of Senpi’s core market primitives.
This is not a research-only or support role. You will own markets end-to-end: from first-principles design and specification, through launch, to post-launch iteration informed by real trading behavior.
You will operate as a technical lead and thought partner to the founders, setting the standard for how Senpi designs indexes, oracles, and market integrity systems.
Required Skills and Experience
What You’ll Own
End-to-End Market Design
Design new perpetual markets that price on-chain economic activity
Define:
The economic signal a market represents
How that signal is measured on-chain
How it is translated into a tradable index
Own the full lifecycle: concept spec implementation launch iteration
Index & Oracle Architecture
Design deterministic, on-chain-derived inputs
Specify methodologies that are
Manipulation-resistant
Cost-to-attack positive
Predictable and hedgeable for market makers
Make principled tradeoffs across accuracy, latency, robustness, and composability
Market Integrity & Risk Controls
Identify manipulation vectors and incentive misalignments
Design mechanical protections (caps, smoothing, decay, inclusion thresholds)
Ensure markets behave sensibly under:
Regime shifts
Rapid growth
Adversarial conditions
Technical & Cross-Functional Leadership
Set direction across quant research, data engineering, and launch parameters
Work closely with founders, market makers, and infrastructure partners
Help define what not to build yet
This role carries real architectural authority, not just implementation responsibility.
What We’re Looking For
Required
Strong quantitative foundation (math, physics, engineering, CS, or equivalent)
Experience designing or owning:
Indexes, signals, trading metrics, or financial data products
Proficiency in Python (and/or similar languages) and comfort with performant, production-grade code.
Crypto-native experience (DeFi, perps, on-chain data)
Strength in systems thinking: data models, testing, infrastructure, and reliability at scale.
Proven ability to lead ambiguous, greenfield projects end-to-end
Strong intuition for incentives, game theory, and adversarial systems
Clear written thinking—able to explain why a design works
Strong Plus
Crypto-native experience (DeFi, perps, on-chain data)
Familiarity with derivatives or market microstructure
Experience building systems traded against by professionals
Comfort operating without precedent or established frameworks
Tools & Environment
Python for modeling and research
Data pipelines and SQL
On-chain data familiarity (EVM or non-EVM)
You do not need to write smart contracts, but you must understand on-chain execution and fee mechanics.