# Dewiz - Quantitative Researcher at deCircle

> Remote · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2699548 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: San Francisco, California, United States
- Where it can be done from (inferred): Remote · United States (evidence: "Location: San Francisco, California, United States")
- Posted: 2026-08-04 (96 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/dewiz-quantitative-researcher
- Skills listed (inferred): Python, Rust, C++

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 2435): p25 $100k, median $157k, p75 $210k

## Description (the employer's text)

Dewiz is one of the core engineering teams within the Sky Ecosystem, building the infrastructure that powers one of DeFi's largest and most established protocols. The team works across protocol engineering, smart contracts, trading systems, and market infrastructure, developing products that process billions of dollars in on-chain liquidity while advancing the next generation of decentralized finance.

As the ecosystem continues to expand, we're looking for a Quantitative Researcher to help design the models and strategies that optimize execution, inventory management, and capital efficiency across both centralized and decentralized markets.

The Role

You'll work at the intersection of quantitative research, market microstructure, algorithmic trading, and DeFi, building models that directly influence how capital is allocated, liquidity is priced, and trades are executed.

Your research will improve execution quality, unlock new revenue opportunities, reduce risk, and shape the design of next-generation trading and liquidity infrastructure.

### Requirements

Strong background in Quantitative Research, Applied Mathematics, Statistics, Physics, Computer Science, Economics, or a related discipline.

Experience developing quantitative models for trading, market making, optimization, or financial markets.

Strong programming skills in Python, Rust, C++, or a similar language.

Solid understanding of probability, statistics, optimization, and market microstructure.

Curiosity about DeFi, digital assets, and decentralized market design.

Experience with market making, algorithmic trading, blockchain protocols, or MEV is a strong advantage, but not required.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2699548 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.