Job Description




What we do?



We're building the firm's next-generation regulatory reporting platform - and we're building it with agentic AI tooling in the loop from day one.




Controllers Engineering



Controllers Engineering designs and builds the systems behind the firm's financial measurement and reporting - revenue, balance sheet, liquidity and capital. We meet the firm's global regulatory financial reporting obligations and build the tooling that makes controller functions faster and more consistent.




Controllers Engineering - Reporting



Our engineers are using agentic AI coding tools as part of day-to-day development. We pair them with spec-driven development: we write the specification, the agent writes the first draft, and the engineer owns the outcome.



We're using that toolchain to build a single reporting platform on AWS that ingests firmwide financial data, applies common data models and reusable validation and exception workflows, and produces submissions for regulators worldwide - replacing dozens of fragmented legacy processes.



No prior finance or regulatory reporting experience needed. We'll teach you the domain.




What you'll do

• Build and own the systems that produce the firm's regulatory submissions to global regulators

• Take features end to end in an Agile team - requirements, design, code, test, UAT, release and run

• Produce technical designs, testing strategies and implementation plans

• Work directly with Finance stakeholders to turn regulatory requirements into workflows, data requirements and specifications

• Build reusable solutions other teams can adopt, and spot opportunities to collaborate across divisions

• Contribute to data modelling and curation for large-scale financial datasets

What you'll need

• Bachelor's degree or equivalent practical experience in a numerate/technical discipline

• 4+ years of software development experience

• Strong analysis and design skills, including data structures, algorithms and performance-oriented design

• Hands-on programming experience in Java

• Strong communication skills with both technical and business audiences

We'd also love to see (you don't need all of these)

• Working knowledge of cloud, ideally AWS (S3, SQS, Lambda, Fargate) or equivalents

• Experience with distributed, microservices-based applications

• Solutions architecture and system design experience

• Strong database and data modelling skills

• Experience with agentic AI coding tools (Claude Code, Copilot Agent Mode, Devin) and spec-driven development

• Big data / Lakehouse (Snowflake), ETL pipelines (Spark, Glue), or event streaming (Kafka)

• Interest in investment banking or financial instruments

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.