Quantitative Equity Solutions Strategist, AI Integration Analyst

What We Do

Goldman Sachs Asset Management's Quantitative Equity Solutions (QES) team delivers bespoke investment solutions to High Net Worth, Institutional and Retail clients. The team oversees over $220BN across 60,000+ customized portfolios and a range of fund solutions. We design and employ highly scalable portfolio management systems to create equity-based strategies including customized direct indexing separate accounts, derivative income ETFs, and exchange funds.

Strategists on the Quantitative Equity Solutions team leverage quantitative techniques to develop models and analytics that power our investment strategies and generate insights for clients.

Who We Look For

We seek someone with strong quantitative reasoning and programming skills who is excited to integrate cutting-edge technologies (including artificial intelligence) into our business to systematize processes and increase scale. You will work closely with experienced quantitative strategists to deeply understand the portfolio construction and optimization problems that we face and then develop production software systems that automate manual processes. The ideal candidate is intellectually curious, collaborative, and driven to leverage technology to add value.

Responsibilities

• Leveraging cutting-edge technologies (including artificial intelligence) to scale our business
• Collaborating with various teams and developing sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment
• Developing rigorous and scalable data management/analysis tools to support the investment process
• Transforming concepts and ideas into robust software leveraging object-oriented or functional programming languages

Qualifications

• Bachelor’s or Master’s in a quantitative or engineering field, e.g. mathematics, physics, statistics, quantitative finance, computational finance, computer science, engineering
• Strong quantitative reasoning and programming skills
• Interest in developing expertise in quantitative models and analytics
• Interest in developing robust software
• Interest in financial markets and keen to understand all facets of the Quantitative Equity Solutions business
• Great communication skills (written and verbal)
• A self-starter, should have the ability to work independently as well as thrive in a team environment

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers .

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

Salary Range & Benefits

The expected base salary for this New York, New York, United States-based position is $110000-$130000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here .

Key skills/competency

• Quantitative Analysis
• AI Integration
• Portfolio Management
• Software Development
• Financial Modeling
• Data Management
• System Design
• Programming (Object-Oriented/Functional)
• Analytics
• Investment Strategies