Location
London

Hours
Full Time

Salary
Negotiable

About the Role
A career with Goldman Sachs Asset & Wealth Management offers the 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 will participate in exciting investment opportunities while collaborating with talented colleagues across asset classes and regions, building meaningful client relationships. Working in a culture that values integrity and transparency, you will join a diverse team passionate about their craft, clients, and building sustainable success.

The Quantitative Investment Strategies (QIS) group within Asset & Wealth Management is a market leader in quantitative portfolio management, managing client assets through advanced quantitative methods. This includes structuring, managing, and monitoring portfolios such as Exchange-Traded Funds (ETFs), mutual funds, and separately managed accounts. The ETF business within QIS is a rapidly growing area, and this role is central to supporting and scaling that growth.

Based in London within the Client Portfolio Management (CPM) team, this role offers independence to take ownership of client-facing projects end-to-end. Responsibilities include building the client servicing platform, authoring research on portfolio positioning amid changing market dynamics, and partnering across Asset Management functions to deliver an exceptional client experience.

Experience
Knowledge of ETFs and/or Liquid Alternatives is preferred. Familiarity with options and derivatives concepts is an advantage. Experience coordinating across sales, operations, and senior portfolio management teams is valuable. Ability to manage multiple priorities and respond quickly to time-sensitive client requests is essential.

About you
You have a quantitative mindset with strong communication skills and the ability to produce and review client-facing reporting and analysis. You are comfortable coding (e.g. Python) to automate workflows and improve efficiency. You have proficiency in tools such as Excel and PowerPoint, an aptitude for learning reporting and data systems, and are comfortable using modern AI tools to enhance productivity and analysis.

Qualifications
Degree (Undergraduate or Masters) in a relevant discipline such as finance, economics, or a quantitative field is preferred.