Asset & Wealth Management - Software Engineering - Associate - New York

Goldman Sachs•New York, NY

About The Position

Goldman Sachs Asset Management’s Client Solutions Engineering team is seeking a full-stack engineer to help build and scale its global business through cloud-based hybrid Big Data solutions. The role supports Sales and Marketing teams with productivity tools, accessible analytics and insights, and real-time tracking toward their goals. The engineer will help build digital platforms and processes across liquidity, marketing, and sales. The position involves driving features from design through execution, investigating and resolving technical performance issues, and developing creative, commercially viable solutions. The engineer will collaborate with globally located, cross-functional teams and stakeholders to evolve product strategy and build customer-centric products.

Requirements

Minimum 3 years of experience in Java, J2EE, and/or Python.
Strong proficiency working with data, databases, and deriving insights using machine learning.
An open-minded approach to problem solving within a team.
Exceptional analytical skills and the ability to use knowledge and experience to make decisions and develop creative, commercial solutions.
Ability to collaborate with globally located cross-functional teams in building customer-centric products.
Strong written and verbal communication skills.
Experience integrating with RESTful web services.
Comfort with Agile operating models.
Experience working with a variety of technical and non-technical stakeholders.

Nice To Haves

Experience with microservice architecture.
Strong proficiency in distributed systems, low-latency services, NoSQL, and relational databases.
Ability to establish trusted partnerships with product heads and executive-level stakeholders.
Experience with AWS.
Experience with Kafka, MongoDB, Spring, Sybase, or another RDBMS.
Experience in financial services or fintech.

Responsibilities

Build and scale global business capabilities using cloud-based hybrid Big Data solutions.
Develop productivity tools, analytics and insights, and real-time tracking capabilities for Sales and Marketing teams.
Drive features from design through execution.
Investigate and address technical performance issues, including API latency.
Collaborate with globally located cross-functional teams and technical and non-technical stakeholders.
Help evolve product strategy and deliver customer-centric products.