AMD Public-New York-Associate-Quantitative Engineering

Goldman Sachs•New York, NY

6h•Onsite

About The Position

Bringing together traditional and alternative investments, Asset & Wealth Management provides clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, it provides investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, overseeing more than $2 trillion in assets under supervision. 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. This role is within the Fundamental Equity Team, and the successful candidate will work closely with portfolio management teams to develop and test investment ideas, manage risks, and build robust, risk-managed portfolios to drive investment results for clients.

Requirements

Outstanding background in a quantitative discipline (e.g., mathematics, physics, engineering, or computer science at PhD or advanced Masters level).
3+ years of relevant professional experience.
Programming expertise (e.g., C++, Python, R, Matlab).
Strong quantitative and analytical skills, with a deep understanding of financial markets and investment strategies.
Experience in statistics, data science, machine learning and/or predictive modelling.
Proficiency in risk modeling and portfolio construction.
Strong general and technical communication skills, with an ability to effectively articulate complex financial and mathematical concepts in a clear and concise manner.
Strong team player, with the ability to collaborate effectively with various teams across the organization.
Creativity and problem-solving skills.

Nice To Haves

Experience with fundamental equity research / equity valuation.
Proven experience in a similar role, preferably within a fundamental equity environment.
Experience with alternative data sources.

Responsibilities

Collaborate with portfolio management teams to develop investment ideas.
Leverage frameworks provided by core quant strats and AI strats teams to test investment ideas.
Utilize internal and external risk models to generate timely insights for the fundamental equity team.
Proactively monitor risk exposures and analyze recent returns to improve performance.
Identify, assess, and mitigate potential risks before they impact portfolios.
Assist in building robust, risk-managed portfolios that integrate stock-level ideas with client needs.
Manage factor, thematic, sector, and other risks in portfolios to ensure alignment with client investment objectives and risk tolerance.