Quant Developer

MLabs; España; Remote; EUR 107,000 - 169,000; Full time

Benefits offered by this job

100% paid medical, dental, and vision

WFH stipend

Home internet & phone reimbursement

Unlimited vacation

In-person company retreats

Job summary

MLabs is seeking a quantitative engineer to design and ship vault strategies end-to-end—from thesis to live deployment. You will optimize strategies, perform due diligence on protocols, and own risk controls. Strong Python, data pipelines, and on-call experience are essential, with bonus DeFi familiarity and Solidity/EVM literacy.

Remote-first environment with strong tooling and production ownership. You will collaborate with growth, capital markets, and client teams to launch new vaults and

Qualifications

• Proven track record building quantitative systems in production.
• Experience with DeFi protocols, vaults, and risk modeling.
• Strong Python and software engineering fundamentals.
• Experience with data infrastructure and SQL pipelines.
• On-call production ownership and clear technical communication.

Responsibilities

• Design and ship vault strategies from thesis to live deployment.
• Optimize strategies with signals research and gas-aware rebalancing.
• Run due diligence on protocols, assets, and chains for strategy inclusion.
• Own risk parameters and automated de-risking logic.
• Integrate adapters for lending markets, DEXs, and bridges.
• Monitor risk systems and participate in on-call rotation.
• Support launches with growth, capital markets, and clients.
• Write production-grade code with testing and reviews.
• Communicate technical concepts clearly to teams.

Skills

Python

Quant modeling

SQL

BigQuery

Dagster

Kubernetes

GCP

Solidity/EVM

Risk management

On-call ownership

Data pipelines

Statistics

Simulation

Code review

Testing

Blockchain/DeFi

Tools

Anvil

Docker

BigQuery

Dagster

GCP

Kubernetes

Job description

What you'll do

• 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.
• 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.
• 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.

Who thrives here

• Wants end-to-end ownership - research, code, deployment, and the pager - not a hand-off between research and engineering.
• Comfortable that crypto markets don't close. Strategy owners take on-call seriously, and the occasional market-event night is part of the job; we staff and rotate to keep it sustainable.
• Operates well in ambiguity: can take "we should have a strategy for X" and return a scoped design, not a list of questions - and is comfortable in a fast-moving space where priorities and team structure evolve.
• Holds a genuine risk view and voices it - including "we shouldn't do this" when the analysis says so.
• Pragmatic about shipping: balances rigor against client timelines without cutting corners on safety.
• Naturally curious about digital assets and DeFi. Deep crypto experience is not required - curiosity and strong quant fundamentals are.
• 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 pa