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Work From Home Junior Quant Developer Jobs (NOW HIRING)

Gauntlet

Quant Developer

New York, NY · On-site +1

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 ...

Gauntlet

Quant Developer

OR · Remote

... quant developers on our team build, ship, and stand behind. This is not a research seat where ... Remote first -- work from anywhere in the US & Canada * Regular in-person company retreats and ...

Farther

Portfolio Quant Developer

New York, NY · On-site +1

We're looking for a Quant Portfolio Developer who can own the analytics layer: account performance ... from scratch, at real scale * Competitive comp package that rewards impact * Work alongside some of ...

WorldQuant

Junior Quantitative Analyst

Austin, TX · On-site +1

$150K/yr

The ideal candidate is a motivated junior quant researcher/developer with knowledge and interest at ... Searching for, understanding, and cleaning raw datasets from WQ's data library * Drawing on ...

WallStreetQuants

Quant Recruiter

... and quant developer positions across the industry. We're looking for a Quant Recruiter to work ... ranging from undergrads and new grads to experienced professionals making a career switch into ...

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Work From Home Junior Quant Developer information

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$61K

$106.8K

$161K

How much do work from home junior quant developer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for work from home junior quant developer in the United States is $106,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What is the difference between Work From Home Junior Quant Developer vs Work From Home Quant Analyst?

AspectWork From Home Junior Quant DeveloperWork From Home Quant Analyst
Required CredentialsBachelor's in Math, Finance, or Computer Science; programming skillsBachelor's or Master's in Finance, Economics, or Math; strong analytical skills
Work EnvironmentCollaborative, project-based, coding-focusedResearch-driven, data analysis, reporting
Industry UsageFinancial firms, hedge funds, asset managersInvestment banks, asset management firms, hedge funds

While both roles involve quantitative analysis, the Work From Home Junior Quant Developer primarily focuses on coding and developing trading algorithms, whereas the Work From Home Quant Analyst emphasizes data analysis and strategy research. Both roles often require similar educational backgrounds and are common in financial industries, but their daily tasks and focus areas differ.

More about Work From Home Junior Quant Developer jobs
What cities are hiring for Work From Home Junior Quant Developer jobs? Cities with the most Work From Home Junior Quant Developer job openings:
What states have the most Work From Home Junior Quant Developer jobs? States with the most job openings for Work From Home Junior Quant Developer jobs include:
What job categories do people searching Work From Home Junior Quant Developer jobs look for? The top searched job categories for Work From Home Junior Quant Developer jobs are:
Work From Home Junior Quant Developer jobs near you
Infographic showing various Work From Home Junior Quant Developer job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 3% Part Time, 1% Temporary, and 13% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $106,825 per year, or $51.4 per hour.

Quant Developer

Gauntlet

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago

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.
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.

What you bring;
  • 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 & 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

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.
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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