Our Impact

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. As part of our EMEA Securities Lending strat team, within the Prime Services unit of our Global Banking and Markets Division, we work side by side with our trading desks to conduct transactions and manage risk. In this entrepreneurial role, we build:

• Real-time automated financing quoting system
• Corporate actions risk management systems
• Analytics, focused on increasing market and wallet share
• Signalling platforms
• Quantitative hedging strategy
• Profitability Drivers and Efficiency metrics to drive business profitability
• Capital optimization systems

Across a broad and constantly expanding universe of financial markets. Whilst organized in different locations, we pride ourselves in our global reach to find solutions that help our business thrive around the world. Our team members have a wide variety of quantitative academic and cultural backgrounds. This diversity helps us to find innovative solutions for our complex business problems.

Your Impact

If you are looking for a high impact position allowing you to fully leverage your strong quantitative and communication skills, then our strats team is the right place for you.

You will work closely with equities trading, sales, structuring, technology & other strats teams.
You will partner with colleagues across the Global Banking and Markets Division and the Finance Division.
You will enjoy a widely scoped role that rewards multi-tasking, initiative and strong execution.
You will not only have a direct impact on key revenue stream in Prime Services business but also have the chance to realize new revenue opportunities.

Finally, you will have the opportunity to be involved in:

• Large scale data analysis
• Optimization of financial resource computations
• Implement and improve model implemented in GS proprietary stack.
• Create and manage platforms for real-time analytics.
• Risk modelling and hedge optimizations

Basic Qualifications

• Strong academic in a relevant field - Mathematics, Engineering, Computer Science or Physics, including a quantitative understanding of statistics and probability
• Strong technical skills. Mastery of software design principles and development skills using one of C++, Python, R, Java, Scala
• Ability to work as part of a global team and deliver results quickly
• Previous practical experience in solving mathematical/statistical/machine learning problems.
• Comfortable working on multiple projects, demonstrating initiative and showing commercial impact

Preferred Qualifications

• Equities market experience
• Experience in equities financing business.
• Corporate Actions
• Emerging Markets microstructure