Quant Developer

Gauntlet

Quant Developer designing, building, and operating strategies behind asset management in onchain finance. Join teams managing client funds and deploying strategies in live environments.

Posted 7/24/2026full-timeRemote • California, New York • 🇺🇸 United StatesJuniorMid-Level💰 $175,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing quantitative strategies for asset management, with strong capabilities in risk modeling, optimization, and data infrastructure. Proficient in Python and SQL, with hands-on experience in DeFi protocols and production ownership of live systems.

Highest-signal resume keywords

Quantitative System DevelopmentPython ProgrammingRisk ModelingSQL Data ManagementDeFi Protocol Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithmic TradingPortfolio OptimizationMarket MakingOptimizationStatisticsSimulationRisk SystemsDebugging Live SystemsVaR ModelingLiquidation Modeling

Soft Skills

Clear Technical Communication

Tools & Technologies

SQLBigQueryGCPKubernetesTypeScriptSolidityEVMAnvilData PipelinesMultisig Workflows

Industry Keywords

DeFiLending ProtocolsERC-4626 VaultsAMMsOracle SystemsForked-Chain SimulationTransaction SubmissionBridgingLiquidity DepthRisk Parameters

Tech Stack

Tools & technologies

BigQueryGoogle Cloud PlatformKubernetesOraclePythonSoliditySQLTypeScriptVault

About the role

Key responsibilities & impact

Design and ship vault strategies: take a strategy from thesis and design doc through implementation, simulation, deployment, and live operation — RWAs, leveraged lending, yield aggregation, cross-protocol allocation, perpetuals, prediction markets, and new product types we haven't built yet.
Optimize strategies: signals research, execution optimization, gas-aware rebalancing across tokens and chains, liquidity and duration management.
Run protocol and asset due diligence: evaluate new protocols, collateral assets, and chains for inclusion in strategies — solvency mechanics, oracle design, redemption paths, liquidity depth, and more.
Own risk parameters: supply caps, LLTV settings, concentration limits, VaR-based exposure models, and automated de-risking logic that pulls positions when conditions deteriorate.
Integrate new protocols and chains: build and validate adapters for lending markets, DEX aggregators, and bridges; verify strategy behavior against forked-chain simulation before capital touches it.
Monitor what you build: extend our risk-monitoring and alerting systems, define the conditions that page someone, and participate in the on-call rotation for the strategies you own.
Support launches and clients: partner with growth, capital markets, and client teams on new vault and strategy launches.

Requirements

What you’ll need

A track record of building quantitative systems that run in production — algorithmic trading, portfolio optimization, market making, or risk systems at a trading firm, asset manager, fintech, or crypto-native company. This is often 2–8 years of experience, but we weight what you've built over years on a résumé.
You write the code behind your strategies. Strong Python and solid software-engineering fundamentals: testing, code review, and the judgment to build durable abstractions rather than one-off scripts. This is a hands-on, quantitative role — not a discretionary trading seat.
Applied quantitative skills: optimization, statistics, and simulation, and the instinct to validate models against real data before trusting them.
Comfort with data infrastructure: SQL and experience building or consuming data pipelines.
Production ownership: you've debugged live systems under pressure and understand that a strategy managing other people's money has to be correct, monitored, and recoverable.
Clear technical communication.
Bonus points
Hands-on DeFi experience: lending protocols, ERC-4626 vaults, AMMs, or oracle systems — as a builder or a sophisticated user.
Solidity / EVM literacy: reading protocol contracts, forked-chain simulation (anvil), or writing adapters; non-EVM experience (e.g., Solana) also valued.
On-chain operational experience: multisig workflows, transaction submission and signing infrastructure, bridging.
TypeScript, and familiarity with a modern data stack (e.g., BigQuery, Dagster, Hex, GCP/Kubernetes).
Experience with risk modeling for volatile or thinly-traded assets: VaR, liquidation modeling, stress testing.

Benefits

Comp & perks

Remote first — work from anywhere in the US & Canada
Regular in-person company retreats and cross-country "office visit" perk
100% paid medical, dental, and vision premiums for employees
$1,000 WFH stipend
Monthly reimbursement for home internet, phone, and cellular data
Unlimited vacation
100% paid parental leave of 12 weeks
Fertility benefits
Opportunity for incentive compensation