Quantitative Research Associate - Systematic Portfolio Construction
Required skills
advanced knowledge of optimization methods (including convex, non-linear, and integer programming) and systematic portfolio construction methods, with a minimum of 5 years of relevant experience, 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), 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, advanced communication skills - the ability to synthesize issues into solutions, translate complex concepts into simple language, and engage across different audiences, self-motivated, take initiative, and demonstrate commitment to continuously improve skills and self, curious about financial markets, optimization and portfolio construction, and are always learning something new
Preferred skills
basic knowledge of fundamental research, econometrics and modern financial economic theory: e.g. asset pricing, portfolio theory, factor risk models, and machine learning
Technologies
Python, Julia, R, Gurobi, Mosek
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
Seniority
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Domain
finance, quantitative research, portfolio construction