Key Responsibilities: Strategy Execution: Implement and execute high-frequency quantitative trading strategies across centralized (CEX) and decentralized (DEX) exchanges, such as Binance, Uniswap, or Kraken.
Market Analysis: Analyze real-time market data, order book dynamics, on-chain metrics, and alternative datasets to identify trading opportunities and market inefficiencies.
Algorithmic Trading: Deploy and monitor algorithmic trading models, including market-making, arbitrage, and statistical trading strategies, optimized for crypto market conditions.
Portfolio Management: Manage trading portfolios, optimizing capital allocation, risk exposure, and liquidity across multiple cryptocurrencies and trading venues.
Model Collaboration: Work closely with quantitative researchers to refine, backtest, and implement trading models, ensuring seamless transition from research to production.
Risk Management: Apply risk controls to manage market, counterparty, and operational risks, ensuring compliance with regulatory and internal frameworks.
Performance Optimization: Contin).. Continuously optimize trading strategies and execution to improve profitability, gas efficiency, and latency in crypto markets.
Market Research: Stay informed on cryptocurrency trends, blockchain protocols, DeFi ecosystems, and regulatory developments to adapt strategies to evolving markets.
Performance Analysis: Monitor and analyze trading performance, P&L, and market metrics to provide actionable insights for strategy improvement.
Automation & Tools: Utilize and enhance trading bots, APIs, and automated systems to ensure reliable and efficient trade execution.
Qualifications: Education: Bachelor’s, Master’s, or PhD in Finance, Mathematics, Computer Science, Statistics, Physics, or a related quantitative field.
Experience:
2+ years of experience in quantitative trading, preferably in cryptocurrency or high-frequency trading environments.
Proven success in developing or executing data-driven trading strategies in crypto markets (e.g., Bitcoin, Ethereum, altcoins, DeFi tokens).
Technical Skills:
Strong proficiency in Python, R, or similar languages for data analysis, scripting, or trading automation.
Familiarity with C++, Java, or Rust for collaboration with developers is a plus.
Experience with market data APIs, order execution systems, and trading platforms (e.g., CCXT, Binance API).
Crypto Knowledge: Deep understanding of cryptocurrency markets, blockchain technology, DeFi protocols, and market microstructure (e.g., AMMs, liquidity pools, staking).
Analytical Skills: Exceptional ability to analyze complex datasets, identify patterns, and make rapid, data-driven decisions in volatile markets.
Risk Management: Expertise in managing market volatility, liquidity risks, and counterparty risks specific to crypto trading.
Communication: Strong ability to collaborate with quantitative researchers, developers, and risk managers to align on trading objectives.
Knowledge of smart contracts, DeFi protocols (e.g., Uniswap, Curve), or layer-2 solutions.
Familiarity with regulatory frameworks for cryptocurrencies (e.g., KYC/AML, tax compliance).
Experience with statistical modeling or machine learning for trading applications.
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