Quantitative Analyst - Systematic Portfolio Construction (SPC)

New York, United States

Capital Group

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Quantitative Analyst – Systematic Portfolio Construction (SPC) focus

“I can succeed as a Quantitative Analyst at Capital Group” 

As a member of the Quantitative Research and Analytics group (QRA) at Capital Group (CG), you conduct rigorous peer-reviewed quantitative research and analysis.  You leverage your knowledge of portfolio optimization, trading strategies and portfolio analysis to develop effective systematic strategies for portfolio construction and replication.  You connect and apply quantitative theoretical frameworks to Capital Group’s fundamental research driven investment process.  You enjoy a balance of collaborative problem-solving, individual exploration, and continuous learning.   

You effectively communicate concepts and conclusions from quantitative analysis to investors, partner groups, and internal governance bodies.  You develop and communicate investment and policy insights and recommendations. You identify and communicate the factors driving returns in systematic portfolios. 

You act as a leader within the QRA team and share in the responsibility for developing the QRA organization and guiding others within the team. 

In this role you will:

  • Deliver high-impact research on portfolio construction and optimization.

  • Develop and maintain relevant quantitative models and frameworks.

  • Partner with QRA leadership, Portfolio Strategy Management leadership, and Investment Group associates to identify quantitative research and analytical priorities.

  • Translate priorities into coherent approaches to resolve problems and manage problem statements from inception to completion.

  • Work collaboratively with members of the QRA team in a rigorous, peer-reviewed and hypothesis-driven approach to quantitative research, and support the team with domain expertise.

  • Communicate results and recommendations in a form that meets the needs of the listener.

  • Engage consistently with our technology partners and help develop computing environments to support research and research-driven processes in a collaborative research environment. 

”I am the person Capital Group is looking for” 

  • You have detailed knowledge of portfolio optimization (including convex, non-linear, and integer programming) and systematic portfolio construction methods, with a minimum of 10-15 years of relevant experience. 

  • You have a command of the strengths, weaknesses and implementation issues related to standard portfolio construction techniques as applied to long-only investment strategies.

  • You have a working knowledge of fundamental equity research, econometrics and modern financial economic theory: e.g. asset pricing, portfolio theory, factor risk models, and machine learning.

  • You have excellent quantitative research skills, as evidenced by an advanced degree (MFE, MSc, PhD) in a mathematically robust discipline (e.g., mathematics, economics, operations research) or equivalent experience, ideally with a record of written research. 

  • You exhibit advanced communication skills – the ability to synthesize issues into solutions, translate complex concepts into simple language, listen actively and reflect. 

  • You have shown evidence of strong consulting and relationship building skill set; the ability to engage with engineers, investment professionals, and other partners; communicate in multiple formats/forums, and deliver solutions that address business needs. 

  • You are self-motivated, take initiative, and demonstrate commitment to continuously improve skills and self. 

  • You have excellent systems and computer skills, including demonstrable expertise in quantitative programming languages (e.g., Python, Julia, or R) and working knowledge of optimization software and libraries.

  • You take time to invest in our culture and core values.

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In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Consulting Econometrics Economics Julia Machine Learning Mathematics PhD Python R Research Trading Strategies

Perks/benefits: Career development Competitive pay Equity / stock options Salary bonus Team events

Region: North America
Country: United States

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