Software Engineer - Structured Products Analytics

Location(s) UK-London
Job ID
2020-61478
Schedule Type
Full Time
Level
Vice President/Executive Director
Function(s)
Software Engineer
Region
EMEA
Division
Engineering
Business Unit
Equities Technology
Employment Type
Employee

MORE ABOUT THIS JOB

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.

RESPONSIBILITIES AND QUALIFICATIONS

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

ABOUT GOLDMAN SACHS

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., 2020. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity