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PIMCO

Global asset management with fixed income

Vice President Quantitative Research

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNewport Beach, CA, USAIn-person

About the Job

Requirements

  • A Master's degree or higher in Computer Science, Mathematics, Financial Engineering, Statistics, Physics, or another quantitative STEM discipline.
  • Three to five years of hands-on software development experience in financial services, with strong proficiency in both C++ and Python.
  • At least three years of experience developing analytics or technology solutions for securitized products, including residential mortgages, commercial mortgages, and asset-backed securities.
  • Strong experience with the Intex CMO API and a solid understanding of structured finance deal structures, cash flow mechanics, and security-level analytics.
  • Knowledge of integrating prepayment and credit models with collateral-level cash flow engines and broader analytical workflows.
  • Experience designing and building scalable analytical systems within modern cloud computing environments.
  • Ability to operate effectively in a fast-paced development environment while maintaining a strategic perspective on platform architecture and long-term scalability.
  • Problem-solving skills, attention to detail, and commitment to developing clear, efficient, high-quality code.

Responsibilities

  • Partner closely with quantitative researchers and portfolio analytics teams to design, develop, and enhance structured products analytics solutions using the Intex CMO platform and mortgage market datasets, including Loan Performance and EMBS data.
  • Implement and maintain prepayment, credit, and cash flow models while ensuring seamless integration within a strategic enterprise analytics framework.
  • Develop and support analytics and risk measurement capabilities across a wide range of securitized products, contributing to research and production environments.
  • Collaborate with cross-functional teams to design, build, and optimize a scalable cloud-based structured products analytics platform capable of supporting high-performance computation and large-scale data processing.
  • Participate in an agile development environment, balancing rapid delivery of analytical solutions with long-term platform architecture and scalability objectives.
  • Contribute to best practices in software engineering, testing, code quality, and production support to ensure robust and maintainable analytics infrastructure.
  • Use AI-powered development and analytic tools to accelerate research, code development, testing, and operational efficiency while adhering to firm standards for model governance, data security, and software quality.

Desired Qualifications

  • Candidates from top-tier academic programs are preferred.

About the Company

PIMCO

Global asset management with fixed income

PIMCO is a global investment management firm that provides financial solutions for institutions, financial professionals, and individual investors by managing assets across fixed income, equities, commodities, and real estate. Its core product is actively managed investment strategies designed to meet clients’ financial goals. The company earns fees from assets under management and, when benchmarks are surpassed, performance fees, using rigorous research, risk controls, and a deep understanding of global markets. Unlike firms that rely on a narrow focus, PIMCO combines expertise across multiple asset classes and maintains a large network of investment professionals to offer insights worldwide. Its goal is to deliver consistent, long-term results for a diverse client base, including pension funds, endowments, central banks, sovereign wealth funds, and individual investors, while growing assets under management.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$564.6M
Headquarters
Newport Beach, CA
Founded
1971

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