Controllers, Revenue Software Engineer, Associate, Hong Kong

Posted 7 Days Ago
Be an Early Applicant
Hiring Remotely in Hong Kong
Remote
Mid level
Fintech • Financial Services
The Role
Design and deliver cloud-native, scalable platforms and calculation engines for financial measurement, reporting, and regulatory obligations. Implement AI-driven development workflows, build financial metric models, manage end-to-end systems in Agile, collaborate with global stakeholders, and contribute to data modeling and reusable cross-divisional solutions.
Summary Generated by Built In

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

©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.

Skills Required

  • Bachelor's degree in Computer Science, Mathematics, Electrical Engineering or related discipline (or relevant experience)
  • 3+ years of software development experience
  • Hands-on programming experience in Java or Python
  • Strong analysis and design skills; knowledge of data structures, algorithms and performance-oriented design
  • Strong communication skills with both technical and business audiences
  • Experience using agentic AI coding tools (e.g., Claude Code, Co-Pilot Agent Mode, Devin)
  • Experience with cloud technologies, ideally AWS (S3, SQS, Lambda, Fargate)
  • Basic RDBMS knowledge
  • Experience with data modelling and curation for large-scale datasets
  • Knowledge or interest in investment banking or financial instruments
  • Experience with big data concepts such as Lakehouse and ETL pipelines (e.g., Spark, AWS Glue)
  • Experience with near real-time and event-based systems like Kafka

Goldman Sachs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.

  • Healthcare Strength Coverage includes medical, dental, vision, disability, life and accident insurance, with multiple plan options and most premiums subsidized; coverage often starts on day one. Wellness resources, on-site health centers in some locations, and EAP access reinforce the depth of health support.
  • Parental & Family Support Family care includes on-site childcare in some offices, expectant parent resources, and transitional programs for returning parents. Feedback suggests parental leave is very generous, with reports of around 20 weeks paid leave and stipends for adoption, surrogacy, and fertility-related services.
  • Retirement Support The firm provides a 401(k) plan with employer matching contributions and broad financial education to help employees plan for retirement. Resources also support saving for education and preparing for unexpected events.

Goldman Sachs Insights

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The Company
HQ: New York, NY
67,118 Employees

What We Do

At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com

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