Associate | Investment Risk Analytics

at Box
  • United States

Data

Entry Level

Summary

Join Apollo's Investment Risk team as a modeling expert to work on quantitative business modeling and analytics for the firm’s Credit business.

Requirements

  • Undergraduate degree in a quantitative field is required
  • Strong conceptual and mathematical knowledge of financial engineering, stochastic modeling, derivatives pricing, and risk analytics is required
  • Deep knowledge of credit markets and rates derivatives is required
  • Strong programming skill in Python is required

Responsibilities

  • Develop and maintain Apollo’s in-house analytical suite of libraries such as APO Analytics in partnership with Technology
  • Develop, maintain and enhance Apollo’s risk and stress models for the credit investments undertaken by the firm
  • Maintain and enhance existing in-house risk systems in partnership with Technology
  • Build tools to analyze investment risk including valuation models for complex new investments such as exotic securities and variable annuities
  • Develop, maintain and enhance portfolio optimization models for credit investments

Preferred Qualifications

  • Graduate degree (MS or PhD) in a quantitative discipline such as financial engineering, mathematics, engineering, hard sciences or economics is preferred
  • 2-3 years of work experience in quantitative modeling or risk analytics in a financial institution is preferred
  • Prior experience in developing C++ or Java pricing libraries for securities/derivatives is preferred
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