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Quantitative Researcher focusing on multi-asset arbitrage strategies. The role involves researching and developing statistical models, backtesting strategies, and implementing algorithmic trading approaches across multiple asset classes. The candidate will work closely with data science and trading teams to optimize risk-adjusted returns and scale research into live trading. A strong background in quantitative methods, Python or similar languages, and experience with financial data is preferred.