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Senior Quantitative Analyst

Il y a 2 mois


Paris, Île-de-France Top-Tier Global Investment Bank Temps plein

Expertise in Structured Credit, CDS, CLNs, Leveraged Loans, Corporate Bonds, Index Tranches, CLOs, and C++ Development

Our prestigious global investment bank is on the lookout for a seasoned Quantitative Analyst to take on a pivotal role within our front office quant team. This position is based in Paris and requires a strong background in at least two of the aforementioned product areas. The successful candidate will play a crucial role in supporting the Global Markets platform, specifically focusing on the Structured Credit Trading Desk. Your responsibilities will include enhancing the Quant analytics library and developing tools that empower Traders to deliver superior investment and risk management solutions to a diverse clientele, including asset managers, pension funds, corporates, private banks, insurers, hedge funds, family offices, and sovereign wealth funds worldwide.

KEY RESPONSIBILITIES:

  • Collaborate closely with Fixed Income Desks while maintaining effective communication with Risk, Finance, and IT teams.
  • Translate the requirements of traders and financial engineers into actionable insights for valuation, hedging, and risk management.
  • Design, implement, and validate models using an object-oriented programming language, primarily C++, while developing trading tools.
  • Uphold rigorous quality standards for calculation libraries, ensuring optimal performance and stability.
  • Maintain awareness of regulatory developments and engage with the Risk department as necessary.

ESSENTIAL SKILLS & EXPERIENCE:

  • 6-12 years of experience in quantitative modeling, particularly in risk-neutral pricing and hedging, ideally within a Front Office environment, though candidates with Model Validation experience will also be considered.
  • Proven experience in Structured Credit, encompassing several of the following areas: Structured Credit, CDS, CLNs, Leveraged Loans, Corporate Bonds, Index Tranches, CLOs, etc.
  • Strong programming skills in a large library environment, closely aligned with trading operations (C++).
  • Demonstrated understanding of regulatory matters and the ability to interact effectively with the Risk department.
  • Exceptional communication skills with fluency in English.
  • Outstanding academic credentials, including a Master's or PhD in a quantitative discipline from a top-tier institution.