Quant Researcher

Unchain Data; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary and INJ token award

Unlimited PTO

Health Insurance

Equipment

Home Office Stipend

Flexible working hours

Global team meet ups

Job summary

Injective Labs is seeking a Quantitative Researcher to join its NY-based team. You will study crypto markets to identify profitable trading opportunities and build automated strategies with low-latency execution and real-time data handling.

The role requires strong quantitative methods, expertise in Python and performance-oriented languages (C++/Rust), and experience with backtesting and risk management in fast-paced environments.

Qualifications

• Advanced degree in a quantitative field required (MS/PhD).
• Strong background in probability, statistics, time-series modeling.
• Experience with high-frequency trading development and real-time data handling.

Responsibilities

• Analyze market microstructure and on-chain data to identify inefficiencies and opportunities.
• Apply statistical and ML techniques to generate and validate trading signals.
• Design and implement market-making, arbitrage, and systematic strategies end-to-end.
• Build and maintain signal-generation pipelines and feature stores.

Skills

HFT development

Statistics & time-series

Data analysis

Algorithm design

Education

M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or related field

Tools

Python

C++

Rust

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.

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.

Requirements

• 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.

Nice to Have

• 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.

Benefits

• 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.