Vice President, Quantitative Engineering & Analytics

Goldman Sachs, Inc.; New York (NY); On-site; USD 130,000 - 250,000; Full time

Job summary

Goldman Sachs is seeking an experienced quantitative developer to lead a core initiative delivering next-generation portfolio management tools and analytics. You will architect and ship production systems, translating investment and risk needs into robust analytics while partnering with portfolio managers and fellow strats to turn ideas into durable client-facing outcomes.

The ideal candidate is intellectually curious, self-driven, and collaborative, with a track record of owning roadmaps and

Qualifications

• Undergraduate or graduate degree in a quantitative discipline.
• Experience with statistics, linear algebra, numerical methods.
• 5 years in financial services; buy-side exposure is a strong plus.
• Proficiency in Python or Java/JavaScript; CI/CD.
• Familiarity with open-source libraries and tooling.
• Ability to translate investment and risk needs into technical specs.

Responsibilities

• Lead a core initiative delivering next-generation portfolio management tools and analytics.
• Architect and ship production systems.
• Partner with portfolio managers and fellow strats to implement ideas as durable client-facing outcomes.

Skills

Statistics

Linear algebra

Numerical methods

Python

Java/JavaScript

CI/CD

Open source libraries

AI-assisted coding tools

Education

Quantitative degree (CS/Math/Engineering)

Tools

None

Job description

Goldman Sachs is seeking an experienced quantitative developer to lead a core initiative delivering next-generation portfolio management tools and analytics. You will architect and ship production systems, translating investment and risk needs into robust analytics while partnering with portfolio managers and fellow strats to turn ideas into durable client-facing outcomes.

The ideal candidate is intellectually curious, self-driven, and collaborative, with a track record of owning roadmaps and