Quantitative Financial Analyst

Position Overview

Apollo is seeking a Quantitative Financial Analyst for its Woodland Hills, CA, office. This role is crucial as the Quantitative Development team maintains a suite of proprietary mortgage investment risk models developed in-house for financial reporting, risk measurement, pricing, and strategic business decisions. These models ensure underwriting consistency and accurate stress testing of our Consumer & Residential investment portfolio, making your contribution invaluable.
Analyze portfolio loan tapes, verifying data consistency and generating stratifications and analysis
Assess risk parameters of portfolios, deriving loss assumptions from historical performance
Running internal pricing & risk models
Perform ad-hoc requests for data analysis, query, etc., as needed.
Automating reporting and monitoring processes for existing transactions
Assist various trading needs, including macro trend analysis, asset allocation, optimizations, etc.

Qualifications & Experience
Minimum Master's degree in a Quantitative background (statistics, machine learning, quantitative finance, financial mathematics, econometrics, physics, mathematics)
1-3 years of professional experience working in a quantitative capacity
Efficient Python/C#/SQL programming skills, C++ programming skill is a plus
Experience handling large data sets
Financial fixed income knowledge, especially on US residential mortgages
Strong communication skills, both written and verbal
Ability to work in a fast-paced environment, under pressure, and deliver on time

Pay Range
$110,000 - $175,000

The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed here.
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