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Quantitative Researcher

• Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Value Engineering
Derivatives
Recruiting
Algorithmic Trading
Optimization
Order Management
Dashboard
Reporting
Quantitative Research
Statistics
Probability
Time Series
Python
C++
Rust
Data Structure
Algorithms
Strategy Development
Finance
Risk Management
Machine Learning (ML)
Linux
Cryptography
Real-time
Blockchain
Trading
Research
Financial Technology
Oracle Linux

Summary

We've partnered with a high-growth technology company building purpose-built blockchain infrastructure for financial applications. The firm develops interoperable Web3 systems and decentralized finance products that power trading, derivatives, and cross-chain liquidity across digital asset markets.

They are hiring a Quantitative Researcher to join a New York-based quantitative research team. The role focuses on analyzing crypto market structure and developing systematic trading strategies within decentralized environments. This position is well-suited to someone experienced working with real-time data and algorithmic trading models.

Responsibilities

Analyze market microstructure and on-chain data to identify inefficiencies
Develop statistical and machine learning models for trading strategies
Design and implement market-making, arbitrage, and systematic strategies
Build and maintain research pipelines and optimization tools
Develop and run backtesting frameworks
Contribute to trading infrastructure including order management and connectivity
Build scalable data pipelines and research environments
Optimize system performance, latency, and reliability
Implement risk monitoring and controls
Conduct post-trade analysis including slippage and market impact
Create dashboards and reporting tools
Run simulations to evaluate execution and liquidity

Requirements

M.S. or Ph.D. in a quantitative field
3-5 years of experience in quantitative research or development
Experience in high-frequency or low-latency environments
Strong background in statistics, probability, and time-series analysis
Advanced Python skills
Experience with C++ or Rust
Solid understanding of data structures and algorithms
Experience with backtesting and strategy development
Ability to work with large datasets and validate results
Understanding of financial markets and risk management

Preferred

Experience with machine learning or distributed systems
Familiarity with Linux environments
Exposure to crypto markets or blockchain data
Experience with real-time trading systems and APIs
Understanding of blockchain or smart contracts
Background in fintech or trading firms
Relevant certifications or published research

Compensation and Benefits

Competitive base and performance incentives
Equity or token participation
Health benefits
Flexible PTO
Home office and equipment support
Flexible work schedule
Work on advanced financial technology
Collaborative team environment

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24657464
Posted 2 hours ago

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