The Marquee team at Goldman Sachs is responsible for delivering digital products to our institutional client base. We design and build highly scalable web platforms that provide access to Goldman Sachs content, portfolio analytics, risk, and execution services. These tools help to transform and simplify client experiences while generating new revenue streams and business models for a leader in global financial markets. Marquee is a product driven team, composed of talented and passionate product managers, designers, and engineers working to change the expectation of institutional finance.

As an engineer within Marquee, you will be working in a close knit team at the forefront of shaping our client's experience by creating new technology driven businesses to externalize our core analytics and data to both existing clients and entirely new markets. At times you will be asked to step into the trading floor environment and at others you will be called upon to guide the decisions of leadership. Wherever your interests fall, you will find your calling amidst our diverse mix of teams and functions.

Using leading open source technologies, we are scaling to a multitude of API calls which are used by clients across the globe. We are pursuing engineers across the stack who enjoy working in a client driven and agile environment; from those who are confident developing low latency, scalable and resilient solutions through individuals passionate in implementing responsive user interfaces.

At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally.  From collaborative work spaces 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 of the office.

Basic Qualifications

• Bachelor’s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline.
• Excellent object oriented or functional analysis and design skills.
• Strong knowledge of data structures, algorithms, and designing for performance.
• Excellent written and verbal communication skills.
• Strong problem solving and analytical skills.
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
• Can apply an entrepreneurial approach and passion to problem solving and product development.

Expert Knowledge In One Or More Of

• Programming in a complied language such as Java, or C# or interpreted such as Python and experience with concurrency and memory management.
• Responsive web development, with professional React/Angular experience and advanced JavaScript proficiency.
• NoSQL databases such as MongoDB and Elastic Search.

Preferred Qualifications

• Knowledge or interest in trading technologies in the front-office of a trading organization

Why Marquee

• Work on some of the most complex technical and design challenges in technology and finance
• Learn from the foremost experts in finance, technology, and math who are diverse in their academic, ethnic, and social backgrounds
• Benefit from ongoing training, development, and mentoring to advance in your career

The Marquee team at Goldman Sachs is responsible for delivering digital products to our institutional client base. We design and build highly scalable web platforms that provide access to Goldman Sachs content, portfolio analytics, risk, and execution services. These tools help to transform and simplify client experiences while generating new revenue streams and business models for a leader in global financial markets. Marquee is a product driven team, composed of talented and passionate product managers, designers, and engineers working to change the expectation of institutional finance.

As an engineer within Marquee, you will be working in a close knit team at the forefront of shaping our client's experience by creating new technology driven businesses to externalize our core analytics and data to both existing clients and entirely new markets. At times you will be asked to step into the trading floor environment and at others you will be called upon to guide the decisions of leadership. Wherever your interests fall, you will find your calling amidst our diverse mix of teams and functions.

Using leading open source technologies, we are scaling to a multitude of API calls which are used by clients across the globe. We are pursuing engineers across the stack who enjoy working in a client driven and agile environment; from those who are confident developing low latency, scalable and resilient solutions through individuals passionate in implementing responsive user interfaces.

At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally.  From collaborative work spaces 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 of the office.

Basic Qualifications

• Bachelor’s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline.
• Excellent object oriented or functional analysis and design skills.
• Strong knowledge of data structures, algorithms, and designing for performance.
• Excellent written and verbal communication skills.
• Strong problem solving and analytical skills.
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
• Can apply an entrepreneurial approach and passion to problem solving and product development.

Expert Knowledge In One Or More Of

• Programming in a complied language such as Java, or C# or interpreted such as Python and experience with concurrency and memory management.
• Responsive web development, with professional React/Angular experience and advanced JavaScript proficiency.
• NoSQL databases such as MongoDB and Elastic Search.

Preferred Qualifications

• Knowledge or interest in trading technologies in the front-office of a trading organization

Why Marquee

• Work on some of the most complex technical and design challenges in technology and finance
• Learn from the foremost experts in finance, technology, and math who are diverse in their academic, ethnic, and social backgrounds
• Benefit from ongoing training, development, and mentoring to advance in your career

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.

At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally.  From collaborative work spaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office.

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.

At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally.  From collaborative work spaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office.

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.

The Structured Products Analytics Engineering Team at Goldman Sachs is responsible for curating business intelligence to increase revenues and reduce costs for the Structured Products business. This covers the full product lifecycle from client experience, quoting, trading, product creation, booking, settlement and lifecycle processing.

Innovation and ambition is central to our delivery and this is no truer that with the analytics stack. Our analytics platform uses the latest open source technologies to capture, transform and visualize business intelligence. We looking for talented engineers to continue to innovate our platforms with the latest technologies.

As an engineer within Structured Products Analytics engineering, you will work closely with our sales, trading, product origination, operations and engineering teams to:

• Understand the Structured Products business and system flows
• Use a data-driven approach to identify opportunities to grow revenues and reduce costs
• Create visualizations of business intelligence for use by teams
• Present opportunities and progress to senior leaders

We are pursuing engineers who are keen to learn the structured products business, want to drive business opportunities through analytics, and are passionate about creating clean, scalable and resilient enterprise solutions.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or relevant work experience in Computer Science or related field of study.
• 3+ years of commercial experience with Python, Java or similar.
• Excellent problem solving, analytical, functional and technical skills.
• Broad knowledge of data structures, algorithms, and designing for performance.
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
• Strong written and verbal communication skills.

PREFERRED QUALIFICATIONS

• Experience in Data Modelling, Data Warehousing and Big Data Processing.
• Experience in Apache Superset or other Business Intelligence visualization tools.
• Experience working with Kubernetes or other container based platforms.
• Knowledge of NoSQL databases such as MongoDB.
• Keen interest or experience with equities, derivative or structured products.

LEVEL

Associate or Vice President

LOCATIONS

London

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.

At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally.  From collaborative work spaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office.

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.

At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally.  From collaborative work spaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office.

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.

The Structured Products Analytics Engineering Team at Goldman Sachs is responsible for curating business intelligence to increase revenues and reduce costs for the Structured Products business. This covers the full product lifecycle from client experience, quoting, trading, product creation, booking, settlement and lifecycle processing.

Innovation and ambition is central to our delivery and this is no truer that with the analytics stack. Our analytics platform uses the latest open source technologies to capture, transform and visualize business intelligence. We looking for talented engineers to continue to innovate our platforms with the latest technologies.

As an engineer within Structured Products Analytics engineering, you will work closely with our sales, trading, product origination, operations and engineering teams to:

• Understand the Structured Products business and system flows
• Use a data-driven approach to identify opportunities to grow revenues and reduce costs
• Create visualizations of business intelligence for use by teams
• Present opportunities and progress to senior leaders

We are pursuing engineers who are keen to learn the structured products business, want to drive business opportunities through analytics, and are passionate about creating clean, scalable and resilient enterprise solutions.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or relevant work experience in Computer Science or related field of study.
• 3+ years of commercial experience with Python, Java or similar.
• Excellent problem solving, analytical, functional and technical skills.
• Broad knowledge of data structures, algorithms, and designing for performance.
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
• Strong written and verbal communication skills.

PREFERRED QUALIFICATIONS

• Experience in Data Modelling, Data Warehousing and Big Data Processing.
• Experience in Apache Superset or other Business Intelligence visualization tools.
• Experience working with Kubernetes or other container based platforms.
• Knowledge of NoSQL databases such as MongoDB.
• Keen interest or experience with equities, derivative or structured products.

LEVEL

Associate or Vice President

LOCATIONS

London