Enterprise Risk Quant | Modeling & Insights Lead

Schonfeld

New York (NY)

On-site

USD 175,000 - 250,000

Full time

7 days ago
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Job summary

Schonfeld is seeking a Risk Associate to join the risk team and help build and maintain analytical frameworks that illuminate risk drivers across portfolios. You will communicate insights to senior leadership and contribute to capital allocation decisions, collaborating with Technology, vendors, COO teams, and quants.

The role emphasizes understanding trading strategies, developing models, and translating complex risk signals into actionable analytics for enterprise risk management.

Qualifications

  • Experience with market standard models for pricing rates and FX derivatives.
  • 5-10 years of experience working in quantitative trading or risk.
  • Strong track record of solving business problems independently.
  • Ability to simplify and present complex topics and influence decisions.
  • Passion for learning and discovering new ideas in quantitative finance.
  • Proficiency with procedural programming skills (Python).
  • Strong mathematical and statistical modeling knowledge.
  • Comfort with analysis of large datasets.

Responsibilities

  • Understand trading strategies and ensure risk is captured correctly in models.
  • Collaborate with Technology, vendors, COO teams, strategy quants and risk coverage teams to prioritize work.
  • Create our own models and solutions when external tools do not fit enterprise needs.
  • Generate insights into key drivers of firmwide risk and communicate to senior management.
  • Incorporate insights into models and analytics to mitigate drawdowns and inform capital allocation.

Skills

Python
Quant finance
Data analysis
Independent work
Communication
Math & stats
Large datasets

Tools

GitHub

Job description

Schonfeld is seeking a Risk Associate to join the risk team and help build and maintain analytical frameworks that illuminate risk drivers across portfolios. You will communicate insights to senior leadership and contribute to capital allocation decisions, collaborating with Technology, vendors, COO teams, and quants.

The role emphasizes understanding trading strategies, developing models, and translating complex risk signals into actionable analytics for enterprise risk management.

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