1,811,936open jobs
104,185companies
275,114added this week
Browse all
Salary
$12k per year
Location
Remote (United States, United Kingdom, Canada, Netherlands, Spain)
Seniority
Junior · 2+ years exp
Visa
Licensed UK visa sponsor

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 2026. MLabs scores A on the Alion truth index.

Overview
Company
Impact
Profile match
MLabs is a software engineering firm specialising in functional programming and formal methods, working largely on blockchain protocols, smart contracts and high-assurance systems. Its engineers work predominantly in Haskell and related languages, which is unusual commercially and gives it a niche in projects where correctness has to be demonstrated rather than tested, particularly in the Cardano ecosystem. Registered in London and operating as a distributed organisation, it takes on protocol development, audit and formal verification work for clients whose systems hold value that a defect would put directly at risk.

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.

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.

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.

Requirements

- 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.

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.

Benefits

- 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

Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.

The national pay range for this role is $175,000 - $200,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,811,936 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
In your city
≈ $45k – $86k per year (Estimated) • Remote (Poland) • 3+ years exp • Białystok
SQL
Analytics
Master Data Management
Management
Microsoft Office
Apply
$90k – $125k per year • Remote (United States) • 4+ years exp
Python
SQL
Databases
Snowflake
Databricks
AI/ML
Cursor
Claude
DevOps
AWS
Platform Engineering
Analytics
Tableau
QlikSense
Plotly
Apply
Remote (Spain) • 2+ years exp • Madrid
SQL
Scala
Databases
Databricks
AI/ML
Spark
Airflow
DevOps
Azure
CI/CD
Jenkins
Git
AWS
Incident Management
GitHub
Management
ServiceNow
Agile
Apply
Data Engineer 5 days ago
≈ $13k – $31k per year (Estimated) • Remote (India) • Full-Time • 2+ years exp • Mumbai
Python
SQL
Python
pySpark
Databases
Databricks
Delta Lake
Apache Kafka
AI/ML
Spark
MLFlow
Machine Learning
DevOps
Azure
CI/CD
Git
Analytics
Tableau
Power BI
Azure Data Factory
Apply
Data Engineer 3 hours ago
≈ $96k – $217k per year (Estimated) • Remote (United States) • Contractor • 5+ years exp
Python
SQL
Scala
Databases
Snowflake
Apache Kafka
Amazon Redshift
AI/ML
Spark
Airflow
DevOps
Terraform
CloudFormation
CI/CD
AWS
Docker
Kubernetes
Amazon S3
IAM
Amazon Kinesis
Analytics
ETL/ELT
Apply
See all jobs
This is one of many
1,811,936 more open roles from verified company boards, updated every day.