Asset & Wealth Management, QIS Liquid Alternatives - Portfolio Management, Vice President

Asset & Wealth Management

A career with Goldman Sachs Asset & Wealth Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world's leading asset managers with over $3 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions, and building meaningful relationships with your clients.

Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Bringing together traditional and alternative investments, Goldman Sachs Asset & Wealth Management provides clients around the world with a dedicated partnership and focus on long‑term performance. As a primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals.

The Quantitative Investment Strategies (QIS) group within Asset & Wealth Management is responsible for managing client assets, and is a market leader in quantitative portfolio management. We use advanced quantitative methods to structure, manage, and monitor investment portfolios including Exchange‑Traded Funds (ETFs), mutual funds, and separately managed accounts. The role focuses on Systematic Volatility investing within our QIS Liquid Alternatives group and will contribute to the innovation and future growth of our volatility investing franchise with a particular focus on Defined Outcome and other derivatives‑based structures in an ETF wrapper
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• Serve as portfolio manager for the systematic volatility vertical within the QIS Liquid Alternatives group. This includes strategy formulation and implementation, performance monitoring and day‑to‑day optimizations
  • Monitor systematic volatility premia models on an ongoing basis to ensure expected return delivery within expected risk parameters
  • Review and sign off trades generated by the team’s systematic investment models
  • Identify investment theses and systematic investment opportunities. Situate investment processes within universes of factor premia, macroeconomic drivers as well as industry trends
  • Ensure that the portfolios and associated materials are compliant with the relevant regulatory, governance, and risk processes
  • Assist client‑facing personnel when addressing client requests requiring quantitative analysis as well as when directly engaging with clients in in‑depth discussions about volatility‑based portfolios
• Perform portfolio research and portfolio construction for liquid, derivatives‑based portfolios.
  • Conduct quantitative research on systematic volatility strategies
  • Contribute to the development, enhancement, and maintenance of the research and portfolio management platform, encompassing strategy backtesting, performance monitoring, and risk analysis, in close collaboration with Engineering teams
  • Continuously evaluate the effectiveness of existing modeling approaches and seek to expand the modeling and product offering
  • Manipulate structured and unstructured large datasets to extract quantitatively based insights for systematic volatility strategies
  • Assess the feasibility of systematic investment strategies regarding trading and implementation, incorporating liquidity and trading cost considerations

• Degree (Undergraduate/Masters/PhD)
  in quantitative discipline required
• Minimum of 5 years of experience as a Portfolio Manager, or in a comparable role, with demonstrated expertise in developing and maintaining quantitative portfolio solutions
• Excellent Python programming skills and experience with other programming languages (e.g. C# or other languages)
• Strong proven track record to work with datasets of various complexity
• Knowledge of options pricing theory (classic and modern pricing methods, portfolio replication and stochastic calculus) and options derivatives analysis
• Strong familiarity with advanced statistics, linear algebra,…