Software Engineer - Associate - CF&O Shared Services Engineering

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. We commit people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Our people are our greatest asset – we say it often and with good reason. It is only with the determination and dedication of our people that we can serve our clients, generate long-term value for our shareholders and contribute to the broader public. We take pride in supporting each colleague both professionally and personally. From collaborative workspaces and ergonomic services to wellbeing and resilience offerings, we offer our people the flexibility and support they need to reach their goals in and outside the office.

BUSINESS UNIT:  CF&O Shared Services (CFOSS) was created with the objective to centralize related platforms, services, and expertise required by multiple CF&O divisions in order to realize efficiencies and uniform solutions. 

The team’s core priorities include:

1. Establishing positions data quality, accountability and lineage.
2. Developing unified data models across assessment platforms and ensure they meet regulatory and internal Risk & Compliance management requirements.
3. Accelerating the adoption of Cloud and Core Engineering solutions.
4. Support the development of analytic calculations and data transformations.
5. Provide workflow efficiencies through the systemization and automation of review, sign-off, and commenting processes of financial metrics and the associated limits.

WHAT WE LOOK FOR

This VP Software Engineer role is for a professional who is passionate about digital transformation, increasing operational efficiency through automation, reduce technical debt and develop highly scalable and reliable applications. CF&O divisions have several web applications that generate data that are used for internal Risk & Compliance management and regulatory reporting. Data warehousing, data analytics and machine learning skills will be useful as there is a significant focus on data and reporting.

HOW YOU WILL FULFILL YOUR POTENTIAL (RESPONSIBILITIES)

• Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance.
• Build strong relationships with business partners.
• Understand business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation.
• Develop technical specifications, high level/detailed design, testing strategies, and implementation plans from business requirements.
• Manage end-to-end systems development cycle from requirements analysis, coding, testing, UAT and maintenance.
• Exploring new and emerging technologies as needed by the project. 

SKILLS AND RELEVANT EXPERIENCE 

• Bachelor’s degree in computer science, Electrical Engineering or related technical discipline.
• 8+ years of relevant experience in software development, including a clear understanding of data. structures, algorithms, software design and core programming concepts.
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
• Strong client / stakeholder management skills with strong interpersonal skills, both verbal and written.
• Strong problem solving and analytical skills.
• Ability to work in a fast-paced environment with a strong delivery focus.

PREFERRED QUALIFICATIONS

• Strong programming experience in at least one compiled language (e.g. C, C++, Java)
• Full Stack Developer with experience working with React.
• In-depth knowledge of relational and columnar SQL databases, including database design
• Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc.
• Knowledge of ORM frameworks like Hibernate, SpringJPA, etc.
• Experience in ML/Data Science/AWS will be relevant and useful.
• Experience with continuous delivery and deployment.
• Proficient at working with large and complex code bases.
• Sound in object-oriented programming fundamentals

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 employment/affirmative action employer

BUSINESS UNIT: CF&O Shared Services (CFOSS) was created with the objective to centralize related platforms, services, and expertise required by multiple CF&O divisions in order to realize efficiencies and uniform solutions. The team’s core priorities include: - Establishing positions data quality, accountability and lineage. - Developing unified data models across assessment platforms and ensure they meet regulatory and internal Risk & Compliance management requirements. - Accelerating the adoption of Cloud and Core Engineering solutions. - Support the development of analytic calculations and data transformations. - Provide workflow efficiencies through the systemization and automation of review, sign-off, and commenting processes of financial metrics and the associated limits.