What we do?

Controllers Engineering

Controllers Engineering is responsible for designing and implementing solutions that support financial measurement and reporting, including revenue, balance sheet, liquidity and capital. We also help meet the firm’s global regulatory financial reporting obligations and build tools that drive efficiency and consistency across controller functions.

Controllers Engineering

• Reporting

The Reporting team is building a common reporting platform to simplify how the firm handles financial regulatory reporting. We are creating a unified, scalable cloud-based platform using common data models and reusable validation and exception workflows to replace fragmented legacy processes. Engineers on the team leverage cutting edge AI tooling to accelerate development of automated workflows to ensure reporting is consistent and accurate across global regulators.

Responsibilities

• Manage end-to-end systems development in an Agile environment, from requirements analysis through coding, testing, UAT, implementation and maintenance.
• Produce technical designs, testing strategies and implementation plans.
• Partner with Finance stakeholders to understand business needs and translate them into process workflows, data requirements and specifications.
• Build reusable solutions and identify opportunities for cross-divisional collaboration.
• Contribute to data modelling and curation.

Basic Qualifications

• Bachelor’s degree or relevant experience in Computer Science, Mathematics, Electrical Engineering or related discipline.
• 6+ years of software development experience.
• Strong analysis and design skills, plus knowledge of data structures, algorithms and performance-oriented design.
• Strong communication skills with both technical and business audiences, and comfortable working with multiple global stakeholders.

Expert Knowledge in One Or More Of

• Hands-on programming experience in Java or Python
• Significant solutions architecture and system design experience
• Experience of using Agentic AI coding tools - e.g. Claude Code, Co-Pilot Agent Mode, Devin
• Experienced with Cloud Technologies – ideally AWS – e.g. S3, SQS, Lambda, Fargate
• Strong RDBMS knowledge
• Experience developing distributed, micro services-based applications.
• Experience with data modelling and curation for large-scale datasets

Preferred Qualifications

• Knowledge or interest in investment banking or financial instruments
• Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue)
• Experience with near real time and event-based systems like Kafka

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

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.