Company

EfinancialcareersSee more

addressAddressSouth East
type Form of workPermanent, full-time
salary SalaryCompetitive salary
CategoryBanking

Job description

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
  • Risk management systems
  • Analytics focused on increasing market and wallet share
  • Quantitative hedging strategies
  • Profitability Drivers and Efficiency metrics to drive business decisions
  • 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
  • Partner with colleagues across Global Banking and Markets Division and Finance Division
  • Enjoy a widely scoped role that rewards multi-tasking, initiative and strong execution
  • Not only have a direct impact on key revenue stream in Prime Services business but also have the chance to initiate new revenue opportunities
Finally, you will have the opportunity to be involved in:
  • Large scale data analysis
  • Optimization of financial resources
  • 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 and problem solving skills.
  • Proficiency in using one or more programming languages like 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
  • Emerging Markets microstructure knowledge

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://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
Refer code: 3486553. Efinancialcareers - The previous day - 2024-06-29 07:55

Efinancialcareers

South East

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