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Quantitative Research Associate - Systematic Portfolio Construction

$159.35k - $254.97k

111 CRMC Capital Research & Mgmt

Quantitative Research Associate – Quantitative Research and Analytics As a member of the Quantitative Research and Analytics group at Capital Group, 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 effectively communicate concepts and conclusions from quantitative analysis to investors, partner groups and internal governance bodies. 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. Qualifications Advanced knowledge of optimization methods (convex, non‑linear and integer programming) and systematic portfolio construction methods with a minimum of five years of relevant experience. Excellent systems and computer skills, including demonstrable expertise with quantitative programming languages such as Python, Julia or R and optimization software such as Gurobi or Mosek. Basic knowledge of fundamental research, econometrics and modern financial economic theory including asset pricing, portfolio theory, factor risk models and machine learning. Advanced quantitative research skills evidenced by an advanced degree (MFE, MSc, PhD) in a mathematically robust discipline (mathematics, economics, operations research) or equivalent experience. Advanced communication skills – the ability to synthesize issues into solutions, translate complex concepts into simple language and engage across different audiences. Self‑motivated, initiative‑driven and committed to continuous improvement of skills and personal development. Curious about financial markets, optimization and portfolio construction and always learning something new. Benefits & Compensation Competitive base salary with a range depending on location: Southern California $159,354–$254,966; San Francisco $185,833–$297,333; New York $168,924–$270,278. Annual performance bonus and company profitability bonus. Retirement plan with 15% company match on eligible earnings. Health and wellness benefits from day one. Flexible work options and generous paid time off. 2‑for‑1 matching gifts for charitable contributions and opportunity to secure annual grants for chosen organizations. On‑demand professional development resources. Capital Group is an equal‑opportunity employer. We comply with all federal, state and local laws that prohibit discrimination and uphold the highest standards of fairness and inclusion. Discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender identity), pregnancy, childbirth, 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 law is prohibited. Capital Group accepts applications from qualified applicants regardless of any protected characteristic. #J-18808-Ljbffr 111 CRMC Capital Research & Mgmt

Vacancy posted 2 days ago
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