What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Who We Look For
Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.
YOUR IMPACT
Effectively leveraging financial market data to drive business is the key for successful financial services firm provide to its customers and working with massive volumes of data quickly is a differentiator. It gives firm the opportunity to respond more quickly to changes, gain deeper insights and forecast capabilities. The challenges related to use the data to drive innovation and customer experience are even greater.
Our team builds platforms and technology solutions to model, source, and distribute the data including clients, accounts, financial products and prices to all of firm systems. We are an accelerator and enabler for business, making them more effective at managing and optimizing consumption of reference data, abstracting client, market and regulatory changes through innovative solutions.
Our team is made of software developers and technical product owners with deep technical skills and an affinity for creating solutions with the potential for enterprise-wide impact.
HOW YOU WILL FULFILL YOUR POTENTIAL
- You will be part of the technology function for Enterprise Reference Data, focusing on building data sourcing, controls and distribution architecture that enables the business to operate efficiently with the data
- You should be able to quickly build visualizations on top of MongoDB / Sybase / DB2 / Elastic Search data to meet business needs, as well as be the thought leader to influence functional heads on new and innovate ways to visualize data that will help drive business value
- You will help design data architecture to enhance existing pipelines as well as build feeds for new data sources
- You will participate in data architecture decisions and partner with technology teams to implement data products in production systems.
- You will work closely with business partners and technology leaders to evaluate new BI tools that can further enhance the business’ ability to analyze data
- You should be able to commercialize data products and influence leadership on the value of these products
- This is a wide open opportunity for a motivated individual to use their skills to drive change in a high-visibility, challenging environment
BASIC QUALIFICATIONS
- Bachelor’s degree or higher in Engineering, Computer Science or related disciplines
- 3+ years of software industry experience with strong analytical and problem solving skills
- Hands on experience in one of the mainstream programming language (Java, C++, python etc.) using object-oriented design techniques and best practices
- Basic understanding of distributed and scalable system design
- Experience in working with SQL/NoSQL data stores (e.g. Sybase/MongoDB)
- Proficiency in using advanced data structures and algorithms
- In-depth knowledge of relational and columnar SQL databases, including database design
- Experience of test-driven development, hands on experience with testing frameworks such as JUnit
- Experience working with business or clients to transform requirements into software solutions
- Demonstrable history of successful project delivery
- Good communication and interpersonal skills
PREFERRED QUALIFICATIONS
- Hands-on experience with the MongoDB or any big data platform and one or more mainstream programming languages (Python, Java, C, Scala, C++, etc.)
- Experience of working with cloud platform APIs and vendors
- 1 years’ experience dealing with data (structured or unstructured)
- 1 years’ experience in fintech industry
- Experience in designing, building and maintaining distributed and large-scale applications
- Experience working in a start-up business or a new business line within a larger organization is preferred
- Experience in building data products from inception to implementation
- Web services development: RESTful APIs; Swagger; Jersey; Glassfish
- Hands-on experience working with Linux and basic scripting (Bash)
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 Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity