Controllers, Revenue Engineering, Associate, Hong Kong at Goldman Sachs

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

26 Aug, 26

Salary

0.0

Posted On

28 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, AWS, Cloud-Native Systems, Agentic AI, Data Modelling, RDBMS, Agile Methodology, Software Design, Algorithms, Data Structures, ETL Pipelines, Kafka, Spark, AWS Glue, Financial Reporting

Industry

Financial Services

Description

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. Our Impact Controllers Engineering is responsible for designing and implementing solutions to manage the firm’s P&L, measure and monitor the firm’s capital, balance sheet and liquidity metrics, and regulatory obligations across the globe. Our teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and stress scenarios. Your Impact You are responsible for the end-to-end delivery of mission-critical platforms and creating solutions ranging from deterministic automation to agentic workflows. Our team of engineers builds solutions to the most complex problems, developing cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to essential information and process millions of data points daily to inform firm-wide market insights and strategies. Your role is to create, own and continuously improve these solutions, driving their growth and impact throughout the organization, championing engineering best practices and driving organizational change to maximize their impact. Responsibilities * Design and implement scalable cloud-native business systems * AI driven spec driven development SDLCs to solve complex financial and technical problems. Produce technical designs, testing strategies and implementation plans. * Manage end-to-end systems development in an Agile environment, from requirements analysis through coding, testing, UAT, implementation and maintenance. * Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in an evolving regulatory landscape. Work closely with a wide range of stakeholders globally, across multiple divisions of the firm. * 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. * 3+ years of software development experience. * Hands-on programming experience in Java or Python * 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 * 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 * Basic RDBMS knowledge * 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 [https://www.goldmansachs.com/careers/footer/disability-statement.html] ©The Goldman Sachs Group, Inc., 2026. 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.

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Responsibilities

Design and implement scalable cloud-native business systems and AI-driven workflows to support financial measurement and regulatory reporting. Manage the end-to-end development of mission-critical platforms for monitoring P&L, capital, and liquidity metrics.