Quant Researcher

Plexus Resource Solutions Ltd; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Plexus Resource Solutions Ltd is seeking a Quantitative Researcher to work with founders and engineers on the math behind risk and payout design and the market-making framework that supports perpetual futures markets.

You will build models, run simulations and explore AI-driven tasks to scale research across on-chain data, aiming to push model validity and execution efficiency in thin markets.

Qualifications

• Experience in quantitative trading, market making, or market microstructure.
• Strong knowledge of probability and stochastic processes.
• Proficiency in Python; Solidity knowledge is a plus.

Responsibilities

• Model risk and payout framework design backed by bounds or simulations.
• Develop and refine market-making strategy including quoting, inventory, hedging and execution timing.

Skills

Quantitative trading

Market making

Market microstructure

AMMs

Perpetuals

Probability / stochastic processes

Python

Solidity

Job description

Quantitative Researcher: Market Manipulation & Market-Making Strategy (Perps)

Plexus has partnered with an early-stage digital asset trading venture building perpetual futures markets for long-tail tokens, where books are thin and prices can be pushed hard in either direction.

We are looking for a Quantitative Researcher to work directly with the founders and engineering team on the math behind their risk and payout framework and the market-making strategy that runs on top of it.

Key Focus Areas

• Attack Pricing: Model pump-and-dump, wash and multi-wallet attacks on thin markets, and find the cheapest attack against each rule.
• Risk & Payout Design: Build rules backed by a provable bound or a simulation.
• Market-Making Strategy: Quoting, inventory, hedging and execution timing where the firm’s own trades move the price.
• Simulation: Monte Carlo and replays of real on-chain incidents, calibrated against history.
• Open Problems: Estimate the probability that a price action or wallet is manipulation, and price the cost of holding a low-cap token at a given level over time.
• AI Research: Define research and review tasks that AI agents can run at scale, with you checking their work.

Ideal Profile

• Experience in quantitative trading, market making, market microstructure, AMMs, perpetuals or mechanism design. Market maker, prop shop, DeFi or MEV background is particularly relevant. Early-career candidates welcome.
• Strong probability, stochastic processes and optimisation.
• Strong Python essential. Solidity reading and on-chain data a plus.
• Attacker-first mindset, a clear writer, and AI-native: you run multiple agents in parallel and verify their output.

Super quick process.