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PIMCO

Global asset management with fixed income

Quantitative Research Analyst

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeNewport Beach, CA, USAIn-person

About the Job

Requirements

  • Master’s degree or PhD in mathematics, statistics, econometrics, financial economics, physics, engineering, computer science or another highly quantitative discipline; PhD preferred
  • 2–5 years of relevant experience as a commodity quant supporting a sell-side trading desk or a quantitatively oriented asset manager; exceptional junior candidates with directly relevant doctoral research will also be considered
  • Strong grounding in probability, statistics, econometrics, financial mathematics and empirical research
  • Demonstrated experience modelling commodity-specific processes, ideally across one or more of power, weather, oil, natural gas, metals or agricultural markets
  • Strong statistical and econometric modelling skills; knowledge of risk-neutral derivatives modelling and option analytics is desirable
  • Advanced programming ability in Python with experience delivering reliable analytical or research tools
  • Experience developing risk analytics, systematic-strategy research, option-strategy back-tests or pre-trade analytics
  • Exposure to machine learning, AI engineering or modern data-science techniques is desirable
  • Ability to work closely with Portfolio Managers and traders, communicate complex quantitative concepts clearly and deliver accurate analysis in a time-sensitive front-office environment
  • Collaborative, intellectually curious and self-directed, with strong attention to detail and a commitment to high-quality research and implementation

Responsibilities

  • Develop quantitative tools and empirical studies to support relative-value analysis, trading-opportunity evaluation and portfolio-management decisions across commodity markets
  • Build, enhance and maintain models that generate risk analytics for existing and prospective commodity positions
  • Develop pre-trade analytics and research tools within the team’s Python ecosystem, with an emphasis on robust, scalable and reusable solutions
  • Provide timely quantitative support to Portfolio Managers and traders during US trading hours, including day-to-day risk management and operational analysis
  • Research, back-test and maintain systematic, option and quantitative investment strategies
  • Apply statistical, econometric and machine-learning techniques to commodity-specific datasets and investment problems
  • Contribute to the enhancement of PIMCO’s technology infrastructure supporting commodity and quantitative strategies
  • Help broaden analytics coverage across energy, power, metals, agriculture and soft commodities

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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