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1 день назад

Founding Quantitative Researcher (DeFi)

Формат работы
remote/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
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Описание вакансии

Founding Quantitative Researcher

Company

Swaap Finance

Conditions

3 days agoResearch Jobs by Swaap Finance

Swaap Finance Swaap Finance builds and operates onchain trading systems. Distributed Funding Seed ($4.5M) Investors Pareto Holdings New Form Capital Meltem Demirors Entrepreneur First C² Ventures Projects S Swaap Lend Decentralised Borrowing & Lending S Swaap Maker Market Maker About Swaap Finance Swaap Finance is an onchain trading-systems organization. Its website presents research and documentation related to its trading systems. View jobs by Swaap Finance

Skills

Algorithmic Trading Backtesting Blockchain C# Data Analysis Defi Hft Market Making Market Microstructure Optimization Probability Rust Statistical Arbitrage Time Series Analysis

About the Role

You will design, implement, and refine predictive trading and algorithmic market-making strategies. You will research market microstructure, pricing models, and execution optimization; develop and backtest models using historical and real-time data; and collaborate with engineers to deploy strategies into production. You will monitor and improve live model performance and help structure the quantitative function.

Requirements

  • Strong quantitative background in mathematics, statistics, physics, computer science, or a related field
  • Proficiency in C++ or Rust for data analysis, backtesting, and model implementation
  • Experience with market-making strategies, high-frequency trading, or statistical arbitrage
  • Understanding of probability theory, time-series analysis, and optimization techniques
  • Knowledge of market microstructure and algorithmic trading concepts
  • Ability to work with large datasets and rigorously develop and test hypotheses

Responsibilities

  • Design, implement, and refine predictive trading strategies
  • Research market microstructure, pricing models, and execution optimization
  • Develop and backtest strategies using historical and real-time data
  • Collaborate with engineers to deploy strategies into production and enhance infrastructure
  • Monitor, analyze, and improve model performance in live trading environments
  • Structure the quantitative function

Benefits

  • P&L-tied bonus
  • Stock options
  • Lunch
  • Health insurance
  • Remote-friendly policy
  • Well-located offices
  • Monthly team events

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