Injective Labs
FinTech
QuantResearcher
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Quant Researcher at Injective Labs. Skills: Quantitative research, Automated trading, Low-latency execution, Real-time market data. Analyze market microstructure. Analyze on-chain data”
Industry & Context.
Data/logic error resolution
What They're Looking For.
Must Have
M. S. or Ph. D, 3–5 years experience, HFT development experience, Expert-level Python, Solid grasp of data structures, Solid grasp of algorithms, Solid grasp of software engineering, Solid grasp of version control, Experience with statistical analysis, Experience with backtesting, Experience with strategy development, Ability to create algorithms, Understanding of financial markets, Understanding of trading concepts, Understanding of risk-management principles
Nice to Have
Experience with machine-learning frameworks, Experience with distributed computing, Experience with parallel computing, Familiarity with Linux development, Familiarity with modern DevOps, Understanding of cryptocurrency markets, Understanding of DeFi protocols, Understanding of on-chain analytics, Experience with real-time trading systems, Experience with low-latency applications, Experience with exchange integrations, Knowledge of blockchain technology, Knowledge of smart-contract fundamentals, Knowledge of MEV-aware strategies, Professional certifications, Prior experience in quantitative trading, Prior experience in fintech, Publications in relevant fields
What You'll Do.
Analyze market microstructure
Analyze on-chain data
Identify inefficiencies
Identify trading opportunities
Apply statistical techniques
Apply machine-learning techniques
Generate trading signals
Validate trading signals
Improve trading signals
Design market-making strategies
Design arbitrage strategies
Design systematic strategies
Implement market-making strategies
Implement arbitrage strategies
Implement systematic strategies
Build signal-generation pipelines
Build parameter-optimization tooling
Maintain signal-generation pipelines
Maintain feature stores
Maintain parameter-optimization tooling
Develop robust backtesting
Conduct performance analysis
Implement trading system components
Implement order management
Implement exchange connectivity
Build research platforms
Operate data pipelines
Operate research platforms
Ensure system reliability
Ensure latency optimization
Ensure performance optimization
Implement risk monitoring systems
Implement risk control systems
Run post-trade analytics
Evaluate execution quality
Evaluate market impact
Develop reporting tools
Estimate market impact
How You'll Work.
Team & Collaboration
Quantitative team
Full Job 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
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