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HomeCompaniesInjectiveQuant Researcher (Injective Labs)

Quant Researcher (Injective Labs)

Injective · New York or Remote (US) · Remote · Active · Ashby

Job facts

FieldValue
CompanyInjective
TitleQuant Researcher (Injective Labs)
Normalized title-
Department / teamOther Teams / Other Teams
LocationNew York, NY, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-06-03
Changed / last seen2026-06-03 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Injective.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Other Teams.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyInjective
Source189c40b6-4a11-44ee-b3f3-ef187e905956
ATS providerAshby

Description

About Injective Labs Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry. Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book. Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban. About the role We are looking for a Quantitative Researcher to fit into our existing highly-skilled NY-based quantitative team. As a part of our Quant team you’ll be studying the crypto market to find profitable trading opportunities and build automated trading strategies. The ideal candidate would be someone who has experience working with low-latency execution engines, handling real-time market data, and producing strategies that react immediately to market changes. If this sounds like you and you enjoy working in fast paced environments, this role is for you!   Responsibilities: Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities. Apply statistical and machine-learning techniques to generate, validate, and improve trading signals. Design and implement market-making, arbitrage, and systematic strategies end-to-end. Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling. Develop robust backtesting frameworks; conduct performance analysis and attribution. Implement trading system components, including order management and exchange connectivity. Build and operate data pipelines and research platforms for high-quality, reproducible research. Ensure system reliability, scalability, and latency/performance optimization in production. Implement risk monitoring and control systems across strategies and venues. Run post-trade analytics to evaluate execution quality, slippage, and market impact. Develop risk metrics, dashboards, and reporting tools for strategy and portfolio oversight. Run simulations and estimate market impact for both liquid and illiquid assets.   Who you are: M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field. 3–5 years of quantitative research/analysis or development experience. Experience in HFT development. Strong foundation in probability, statistics, time-series modeling, and quantitative methods. Expert-level Python for research and production; proficiency in C++ or Rust for performance-critical components. Solid grasp of data structures, algorithms, software engineering principles, and version control. Experience with statistical analysis, backtesting methodologies, and strategy development. Ability to create and use algorithms to investigate large datasets and resolve data/logic errors with rigor. Understanding of financial markets, trading concepts, and risk-management principles.   Preferred: Experience with machine-learning frameworks and distributed/parallel computing. Familiarity with Linux development environments and modern DevOps practices. Understanding of cryptocurrency markets, DeFi protocols, and on-chain analytics. Experience with real-time trading systems, low-latency applications, and exchange integrations. Knowledge of blockchain technology, smart-contract fundamentals, and MEV-aware strategies. Professional certifications (e.g., CFA, FRM), prior experience in quantitative trading/fintech, and/or publications in relevant fields.   Why work with us? Competitive salary and INJ token award. Unlimited PTO. Health Insurance. Equipment. Home Office Stipend. Flexible working hours. Opportunity to work on cutting-edge blockchain technology in the finance industry. Collaborative team culture with opportunities for professional growth and development. Global team meet ups. How to Apply To apply for this position, please submit your application through the following link: https://injectivelabs.org/careers?ashby_jid=9e4d708a-b599-4d26-97f5-a66ab5c6ea64#open-roles Only applications submitted through this link will be considered. As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. We will only contact candidates using emails from the @ injective.foundation domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Full job record

Job ID37cc6f3ab4e97bac9375641d306f4f19e17e23d2
Org ID043e61c7-4eca-49e2-a65b-14f2a10bcb49
Source ID189c40b6-4a11-44ee-b3f3-ef187e905956
Board ID189c40b6-4a11-44ee-b3f3-ef187e905956
Providerashby
Provider Job Keydc7ac5c8-b342-48a8-b6ef-3d1c37b48605
TitleQuant Researcher (Injective Labs)
Normalized Title
Statusactive
Activeyes
Location TextNew York or Remote (US)
DepartmentOther Teams
TeamOther Teams
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/Injective/dc7ac5c8-b342-48a8-b6ef-3d1c37b48605
Apply URLhttps://jobs.ashbyhq.com/Injective/dc7ac5c8-b342-48a8-b6ef-3d1c37b48605/application
First Seen At2026-06-03 13:22:30Z
Last Seen At2026-06-06 19:27:24Z
Last Checked At2026-06-06 19:27:24Z
Last Changed At2026-06-03 13:22:30Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=Injective/date=2026-06-06/2026-06-06T19-27-23-158Z-7267afe8c95c767c68699d24f82216d9a59360935db817c2c967bcf97e36f2dc.json
Event Fields
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  "last_changed_at": "2026-06-03T13:22:30.761Z",
  "active_status": "active"
}
Parsed Structured
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  "inferred_at": "2026-06-06T19:27:24.615Z",
  "launch_scope": {
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  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "Other Teams",
  "title": "Quant Researcher (Injective Labs)",
  "jobUrl": "https://jobs.ashbyhq.com/Injective/dc7ac5c8-b342-48a8-b6ef-3d1c37b48605",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/Injective/dc7ac5c8-b342-48a8-b6ef-3d1c37b48605/application",
  "isListed": true,
  "isRemote": true,
  "location": "New York or Remote (US)",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Other Teams",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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