Quant Developer
Gauntlet · Remote
MeritLog read this listing from Gauntlet's Lever job board and last checked it on September 10, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Remote
- Salary
- Not listed by source
- Location
- New York City / San Francisco / Los Angeles / Remote
Hiring context
How this role compares at Gauntlet
Gauntlet has 7 live roles in MeritLog’s catalog across 4 job families, and 3 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
Gauntlet concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
You will design, build, and operate the strategies behind one of the largest asset managers in onchain finance. Gauntlet serves $1.5B+ in client TVL, and the vaults that hold it run on strategies that quant developers on our team build, ship, and stand behind. This is not a research seat where models get handed off to someone else's pipeline - you design the strategy, write the code, deploy it, and own it in production. If you want your models allocating real capital onchain within weeks of joining, read on. About Gauntlet Gauntlet builds the financial systems of the future. While much of onchain finance is focused on point solutions, we operate across the entire stack to offer best-in-class vault products. Today we serve over $1.5B in client TVL across some of the largest fintechs/neobanks, protocols, exchanges, and capital allocators in crypto - and, increasingly, traditional asset management. Our team brings together traditional finance and crypto-native expertise to deliver durable, sophisticated products for institutional clients moving onchain. The role Depending on your background and interests, you'll join one of our vault strategy teams. Our strategies span lending and credit curation, cross-chain yield aggregation, structured products, RWAs, and more. Teams own the full strategy lifecycle: research and protocol due diligence, strategy design and backtesting, allocation and rebalancing engines, onchain execution and optimization, and 24/7 monitoring of live positions. You own strategies end-to-end and are accountable for their performance, safety, and uptime.
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