Quantitative Research Associate - Systematic Portfolio Construction

About the role

We are seeking a Quantitative Research Associate to join our Quantitative Research and Analytics group (QRA) at Capital Group. The ideal candidate will have advanced knowledge of optimization methods and systematic portfolio construction methods, with a minimum of 5 years of relevant experience.

Responsibilities

• 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 understand and execute on quantitative research and analytical priorities.
• Work collaboratively with members of the QRA team in a rigorous peer-reviewed approach to quantitative research and support the team with portfolio optimization expertise.
• Respond to deadline-driven requests requiring quantitative analysis.
• Participate in the ongoing development of quantitative research processes at CG.
• Communicate results and recommendations in a form that meets the needs of the listener.
• Help develop computing environments to support research and research-driven processes in a collaborative research environment.

Requirements

• Advanced knowledge of optimization methods (including convex, non-linear, and integer programming) and systematic portfolio construction methods.
• Excellent systems and computer skills, including demonstrable expertise with quantitative programming languages (e.g., Python, Julia, or R) and with optimization software (e.g. Gurobi or Mosek).
• A minimum of a basic knowledge of fundamental research, econometrics and modern financial economic theory: e.g. asset pricing, portfolio theory, factor risk models, and machine learning.
• An advanced degree (MFE, MSc, PhD) in a mathematically robust discipline (e.g., mathematics, economics, operations research) or equivalent experience.
• Excellent quantitative research skills.
• Advanced communication skills – the ability to synthesize issues into solutions, translate complex concepts into simple language, and engage across different audiences.
• Self-motivated, takes initiative, and demonstrates commitment to continuously improve skills and self.
• Curious about financial markets, optimization and portfolio construction, and always learning something new.

Qualifications

• Minimum of 5 years of relevant experience.
• Advanced degree (MFE, MSc, PhD) in a mathematically robust discipline (e.g., mathematics, economics, operations research) or equivalent experience.
• Knowledge of optimization methods (including convex, non-linear, and integer programming) and systematic portfolio construction methods.
• Expertise with quantitative programming languages (e.g., Python, Julia, or R) and with optimization software (e.g. Gurobi or Mosek).
• Basic knowledge of fundamental research, econometrics and modern financial economic theory: e.g. asset pricing, portfolio theory, factor risk models, and machine learning.
• Excellent quantitative research skills.
• Advanced communication skills – the ability to synthesize issues into solutions, translate complex concepts into simple language, and engage across different audiences.
• Self-motivated, takes initiative, and demonstrates commitment to continuously improve skills and self.
• Curious about financial markets, optimization and portfolio construction, and always learning something new.

Skills

• Optimization methods (convex, non-linear, integer programming)
• Systematic portfolio construction methods
• Quantitative programming languages (Python, Julia, R)
• Optimization software (Gurobi, Mosek)
• Fundamental research, econometrics, modern financial economic theory
• Portfolio optimization
• Communication skills
• Self-motivation
• Continuous improvement
• Curiosity about financial markets, optimization, and portfolio construction

Benefits

• Company-funded retirement contribution
• Matching gifts for charitable contributions
• Annual grants for the organizations you love
• On-demand professional development resources
• Generous time-away and health benefits
• Flexible work options

Pay

• Southern California: $159,354 - $254,966
• San Francisco: $185,833 - $297,333
• New York: $168,924 - $270,278

Schedule

• Full-time position