Quantitative Researcher, Equity Stat-Arb

vor 1 Tag


Zug, Schweiz Winston Fox Vollzeit

This client is a senior portfolio manager with a long and successful track record at some of the world's top hedge funds at scale. This Manager has recently joined a new large fund in Switzerland and seeks to build a new team. This manager is focused on developing and deploying cutting-edge trading strategies across global markets. This manager 'genuinely' operates at the intersection of finance, data science, and technology, and he is entirely hands-on. Join a team of brilliant minds in a fast-paced, collaborative environment where your contributions will make a real impact.

Role

We seek a talented and driven quantitative alpha researcher with equity statistical arbitrage strategies expertise. The ideal candidate will combine deep market knowledge with advanced quantitative skills to design, backtest, and implement innovative trading models. Proficiency in Python is essential, as you'll work extensively with data-driven research and algorithmic strategy development.

Responsibilities

  • Develop and refine statistical arbitrage strategies focused on equity markets.
  • Conduct rigorous data analysis to identify patterns, inefficiencies, and alpha opportunities.
  • Build and maintain robust backtesting frameworks to evaluate strategy performance.
  • Collaborate with data engineers to source, clean, and preprocess large datasets.
  • Optimize strategies for execution, considering market impact, slippage, and risk constraints.
  • Monitor live strategy performance and adjust as necessary to maintain alpha generation.

Qualifications

  • Master’s/PhD. in a quantitative field such as Mathematics, Statistics, Probability Theory, Machine Learning, etc
  • Excellent understanding and experience of equity markets and statistical techniques.
  • Proven experience in quantitative research and strategy development. 3-7 years of experience.
  • Proficiency in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, and PyTorch (or similar).
  • Solid understanding of machine learning and statistical modeling techniques.
  • Good understanding of risk management principles and portfolio optimization.
  • Fluency in verbal and written English.

Offered

  • Aggressive compensation package, including top-line performance-based bonuses. Full benefits package.
  • A culture of innovation and collaboration in a supportive team environment.
  • Access to cutting-edge technology and data resources and significant capital.
  • Opportunities for professional development and growth. Strong potential to progress to running and managing risk in the future.
  • Visa and Relocation to Switzerland.
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