Asset & Wealth Management - Software Engineer - Associate - Dallas

Goldman Sachs•Dallas, TX

About The Position

Across Asset and Wealth Management (AWM), Goldman Sachs helps empower clients and customers around the world reach their financial goals. The Private Wealth management (PWM) business within Asset & Wealth Management division provides comprehensive Investment Management services and advice across a full range of asset classes for very high net worth individuals. PWM leverages a global technology platform offering, an integrated suite of tools, and applications to service clients. This platform helps realize a client's goals and objectives, develops, and implements an integrated wealth management plan and delivers first-class client service. Across AWM, our growth is driven by a relentless focus on our people, our clients and leading-edge technology, data, and design. Private Wealth Management The Private Wealth Management (PWM) business provides end to end Investment Management services and advice across a broad range of asset classes for high-net-worth individuals. PWM leverages a global technology platform offering, an integrated suite of tools, and applications to onboard clients. Our software helps realize a client's goals and objectives, develops, and implements an integrated wealth management plan and delivers first-class client service. The successful candidate will join the global PWM Private Bank team. We are developing digital solutions to help clients connect and engage with Goldman Sachs. We work closely with our business partners to streamline business workflows and drive growth. In Wealth Management, we help our clients pursue their wealth management goals through careful advice & astute investment management. Wealth Management Engineering plays a pivotal role in building the tools and applications our business needs to effectively manage and support our client’s diverse requirements. We support the entire user experience starting with onboarding through to maintenance, transfers, reporting, as well as providing clients access to their portfolios online. As part of the Private Banking platforms, being built on AWS Cloud, we're looking for strong engineers with expertise in AWS and CFT OR a strong willingness to upskill and learn cloud technologies. We are seeking a highly skilled Backend Developer to join our dynamic, global team. The ideal candidate will have a strong background in backend development (preferably Java). This role will involve developing and implementing AI solutions, working with various technologies, and collaborating with cross-functional teams to drive innovation. The candidate will play a crucial role in advancing our lending capabilities and contributing to the success of our Wealth Management Division.

Requirements

4+ years of professional software engineering experience building production systems.
Strong proficiency in Java with Spring Framework (Spring Boot).
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience with microservices architecture and API development.
Experience with CI/CD using GitLab CI/CD and Git version control; strong familiarity with merge requests, code reviews, and branching strategies.
Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks.
Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance.
Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude).
Programming Languages: Proficiency in Python, Java, or other relevant programming languages.
Data Analysis: Strong analytical skills and experience with data analysis tools.
Problem-Solving: Excellent problem-solving abilities and attention to detail.
Communication: Strong verbal and written communication skills.

Nice To Haves

Knowledge of distributed systems.
Knowledge of AWS services: compute, networking, storage, databases, messaging queues, serverless, and observability.
Experience with containerization and orchestration tools such as Docker and Kubernetes.
Previous experience in financial services or fintech is a significant advantage.
Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights.
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Previous experience in a similar role or the lending industry.

Responsibilities

Work with stakeholders to understand requirements and deliver solutions across several domains in Wealth Management.
Stay updated with the latest advancements in Cloud and AI technologies.
Conduct research and experiments to improve efficiency within the division.

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