Asset & Wealth Management, Quantitative Equity Solutions - SMA Portfolio Management, Vice President - New York

Job Summary & Responsibilities

Goldman Sachs Asset Management's Quantitative Equity Solutions team is a fast-growing group which oversees more than $300BN across over 60,000 customized equity portfolios, Exchange Funds, Mutual Funds and ETFs. The Quantitative Equity Solutions group delivers investment solutions to Ultra High Net Worth, Institutional and Retail clients in order to address investor needs and goals including: tax management, risk management, value alignment, yield enhancement, customization and beyond.

As a focal point for one of the division's key priority initiatives, the team operates in an entrepreneurial environment but with the resources of a large organization. A core focus for the team is managing cutting-edge investment strategies and innovating new investment capabilities that can transform the asset management industry. We design and employ highly scalable portfolio management systems to create equity-based investment strategies to meet client investors' needs. Current investment solutions range from tax managed offerings, long/short strategies, single stock diversification, income-based strategies, factor-based investing, values alignment and environmentally oriented portfolios - with more strategies under development.

The Portfolio Management team is responsible for research, portfolio construction and portfolio implementation of the investment strategies managed by the Quantitative Equity Solutions team. Responsibilities include research into investment strategy development, process enhancements and strategy improvements, as well as portfolio construction and portfolio implementation.Portfolio managers work closely with client portfolios managers, engineers, operations, controllers, compliance, and product managers. Responsibilities also include collaborating on new investment strategies and digital tools we are developing. Our team is energized by leveraging technology to create scale and customization across our entire business and deliver an excellent client experience with industry leading investment solutions and performance. Our team operates in a fast-paced environment that welcomes individuals who have a background and demonstrated interest in portfolio management, investment research and client collaboration.

The Vice President role within the Portfolio Management team will focus on portfolio implementation for our direct indexing separately managed accounts (SMAs) and helping grow and scale the business.

Responsibilities:

• Manage customized equities SMAs, including focusing on optimization and trade review, client service, and risk management across the platform
• Drive investment strategy and portfolio construction initiatives, including identifying enhancements to existing strategies, prioritizing risk management across the investment platform and developing new capabilities that seek to improve after-tax return for investors
• Partner with Engineering teams to translate ideas into research and research into enhancements, including detailed technical design specification and testing
• Collaborate with client portfolio managers to incorporate investor needs in investment strategy design, joining meetings with financial advisors and end-clients as appropriate
• Leverage different programming languages and statistical techniques in research projects while designing new investment strategies or enhancing existing investing strategies, including using backtesting, optimization, and statistical analysis
• Manage multiple concurrent responsibilities, including research projects and portfolio management needs with varying timelines and deliverables
• Mentor junior members of the team to further develop portfolio management and research skills

Qualifications

• 5+ years experience in portfolio construction and implementation, ideally in systematic equity strategies and optimization-based workflows
• Strong grounding in empirical research methods, such as backtesting, statistical inference, and attribution
• Undergraduate and/or graduate degree in mathematics, computer science, financial engineering, or other STEM-related background
• Familiarity with tax-aware investing concepts
• Previous professional experience in options-based strategies is a plus
• Diverse problem-solving skills, economic intuition, commercial instinct and interest in financial markets
• Demonstrated ability to collaborate with multiple stakeholders and across multiple functions while maintaining high standards for accuracy
• Thrive in a team-oriented and collaborative environment and brings a great attitude to work
• Strong written and verbal communication skills
• Experience with a programming language is preferred (e.g., Matlab, Python, R, etc.)