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Quantitative Risk Analyst

Salary undisclosed

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Position: Quantitative Risk Analyst

Client: Multi Billion Dollar Fund Manager

Location: NYC

Opportunity to join a leading billion-dollar fund manager based in NYC as a Quantitative analyst in their Risk team. The team has a wide remit working closely with teams across investments, treasury & operations.

Key Responsibilities:

  • Partner with the Risk team to identify and implement improvements in risk calculations, methodologies, and systems, aiming to automate processes where possible.
  • Develop prototypes and assist in implementing system and reporting enhancements to accommodate framework updates, portfolio adjustments, and new reporting requirements.
  • Collaborate with teams across investment, treasury, finance, legal, and operations to design, communicate, and implement enhancements.
  • Manage multiple projects simultaneously, including ad-hoc analyses, data visualization, and the calculation of pro-forma risk metrics.

Potential Projects May Include:

  • Creating crisis playbooks by coordinating with cross-functional teams (investments, treasury, legal, operations) to define triggers, outline critical decisions, and establish processes and analytics for decision support.
  • Documenting and enhancing liquidity and counterparty risk frameworks, systems, data management, and report generation, while updating related policies and procedures.
  • Developing a framework and playbook for assessing and mitigating tail risks associated with specific market investments.
  • Conducting research and industry benchmarking to ensure our risk management practices align with best-in-class standards.

Desired Qualifications:

  • 2+ years of professional experience, ideally with a premier management consulting firm focused on financial services or at a multi-manager platform, hedge fund, or leading investment bank.
  • Strong academic background, with a minimum bachelor’s degree in mathematics, physics, philosophy, economics, computer science, or engineering, emphasizing quantitative skills.
  • FRM or PRMIA designation is a plus.
  • Proven ability to define, structure, and solve a variety of problems, including ambiguous challenges.
  • Strong foundation in probability and statistics.
  • Naturally inquisitive, with a deep desire to understand the context and rationale behind calculations, ensuring numerical accuracy.
  • Excellent oral and written communication skills, with the ability to convey complex ideas clearly to a senior audience.
  • Proficiency in Excel and PowerPoint.
  • Experience in financial risk management (market, liquidity, counterparty) is beneficial, but we welcome exceptional candidates without this background and are committed to supporting their learning in financial risk management.