Corporate Planning & Management Engineering, Associate

Goldman Sachs•Dallas, TX

68d

About The Position

Corporate Planning & Management (CPM) manages the firm's liquidity, capital, & risk, and provides the overall financial control & reporting function. CPM unifies Finance & Planning, Spend Management, Operational Risk & Resilience, and multiple Engineering teams to deliver business planning & analytics, expense management, third party risk management, a sustainability strategy for our operations and supply chain, and governance strategies across the firm. Our people come from a range of disciplines, including finance, management, engineering, political science, communications, the arts & sciences, and many more. We're looking for candidates who will thrive in a dynamic environment and are motivated to create meaningful impact via everything they do. Successful candidates should be comfortable working in a team and be curious, analytical thinkers. Strong communication and interpersonal skills are necessary to work successfully with internal clients and team members globally. Above all we value integrity, a strong work ethic and a desire for excellence from our people.

Requirements

Advanced degree in Computer Science, Mathematics, Electrical Engineering, or related technical discipline.
3+ years of professional experience in software development, including a clear understanding of data structures, algorithms, software design, and core programming concepts.
Experience with cloud technologies and databases, preferably AWS.
Experience with microservice architecture patterns, automated testing, CI/CD.
Experience with programming languages such as Java / Python (Java experience is preferable).
Experience with designing, building and using Restful APIs.
Experience in building robust data pipelines, data models and related data integration layers.
Comfortable multi-tasking, communicating with global stakeholders, and working as part of a team.
Excellent communication skills.
Willingness to learn and adopt new technologies including the firm’s propriety technologies.
Eagerness to apply an entrepreneurial approach and passion to problem solving and product development.

Nice To Haves

Experience in designing highly scalable, efficient systems
Experience using AI (closed or open-sourced models) to build document digitization and data analysis applications
Experience using AI prompts, RAG based patterns, Langchain, vector databases
Experience with advanced libraries and services eg: Pytorch, Polars, Tensorflow, AWS Sagemaker, AWS TexTract.
Experience with SQL and NoSQL databases (DynamoDB, Snowflake, PostgreSQL).
Experience with AWS services such as ECS Fargate, Lambdas, AWS IAM, AWS CDK.
Experience working with and integrating third party SaaS products and services.
Experience with messaging infrastructure such as Kafka, SNS/SQS, Kinesis is a plus.
Experience in Financial Services or FinTech and familiarity with financial markets and assets is a plus.
Experience with Contracting (Contract Lifecycle Management) tools or Spend Management domain tools is a plus.