Quant Developer

You design quantitative strategies from thesis through live operation, write the code, deploy it on-chain, and own its performance in production. You join one of our vault strategy teams across 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.

What you'll do

• Design and ship vault strategies: take a strategy from thesis and design doc through implementation, simulation, deployment, and live operation across RWAs, leveraged lending, yield aggregation, cross-protocol allocation, perpetuals, prediction markets, and new product types
• 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, including solvency mechanics, oracle design, redemption paths, and liquidity depth
• Own risk parameters: supply caps, LLTV settings, concentration limits, VaR-based exposure models, and automated de-risking logic
• 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 alert conditions, 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

What you bring

• A track record of building quantitative systems that run in production such as algorithmic trading, portfolio optimization, market making, or risk systems at a trading firm, asset manager, fintech, or crypto-native company (typically 2-8 years of experience, though we weight what you have built over years on a resume)
• Strong Python and solid software-engineering fundamentals: testing, code review, and the judgment to build durable abstractions rather than one-off scripts
• Applied quantitative skills: optimization, statistics, and simulation, with 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 have 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

Nice to have

• Hands-on DeFi experience: lending protocols, ERC-4626 vaults, AMMs, or oracle systems as a builder or sophisticated user
• Solidity and EVM literacy: reading protocol contracts, forked-chain simulation with anvil, or writing adapters; non-EVM experience such as Solana also valued
• On-chain operational experience: multisig workflows, transaction submission and signing infrastructure, bridging
• TypeScript and familiarity with a modern data stack such as BigQuery, Dagster, Hex, or GCP/Kubernetes
• Experience with risk modeling for volatile or thinly-traded assets: VaR, liquidation modeling, stress testing

What we offer

• Base salary of $175,000-$200,000 plus On Target Earnings potential by level and equity in the company
• Remote first, work from anywhere in the US and Canada
• 100% paid medical, dental, and vision premiums for employees
• $1,000 work-from-home 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
• Regular in-person company retreats and cross-country office visit perk

About mLabs

mLabs builds and operates vault strategies across lending, yield aggregation, structured products, and RWAs, with teams owning strategies end-to-end from research through live production operation.