Quantitative Trader

We are seeking an experienced Quantitative Trader to join the team at Schonfeld in Zurich. The ideal candidate will blend rigorous macroeconomic insight with hands‑on quantitative trading experience across credit, rates, and related derivatives. You will develop and maintain systematic models, collaborate closely with Portfolio Managers on trade ideas and risk, and leverage your network of sell‑side economists and strategists to stay ahead of market trends.

• Design, code, and maintain systematic and semi‑systematic trading models spanning corporate bonds, credit ETFs, CDS indices, equity / vol cross‑asset overlays and curve‑relative value strategies.
• Build data pipelines, back‑testing frameworks, and real‑time risk / P&L dashboards in Python / C++ for fixed‑income and multi‑asset products.
• Conduct deep‑dive macro research—integrating fundamentals, flow data, and machine‑learning techniques—to generate high‑conviction trade ideas.
• Produce concise macroeconomic briefs for Portfolio Managers, distilling complex drivers such as global rates cycles, credit spread dynamics, liquidity, and volatility regimes.
• Partner with Technology and Risk to refine execution algos, hedging rules, and portfolio‑trading workflows.

• 10+ years’ experience in macroeconomic research, credit volatility trading, and cross‑asset systematic strategy design.
• Experience working at global top‑tier multi‑manager hedge fund and leading sell‑side algo / ETF desks.
• Proven track record building and calibrating complex economic / financial models—mean‑reversion, momentum, convexity, liquidity, and relative‑value frameworks.
• Advanced programming skills:
  Python, C++, SQL; working knowledge of R / MATLAB and VBA‑Excel.
• Work experience in credit indices (CDX / iTraxx), bond / ETF micro‑structure, and derivatives greeks / risk.
• Strong written and verbal communication skills—able to translate quantitative outputs into clear investment theses.
• Master’s in Finance from a top‑tier university and a Bachelor’s degree in a STEM discipline.
• Passed CFA Level I examination.