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Goldman Sachs

Quantitative Strategist

London, England
Python SQL
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Description

Asset & Wealth Management - Quantitative Strategist -VP - London

Location: London, Greater London, England, United Kingdom

GOLDMAN SACHS
At Goldman Sachs, we connect people, capital, and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals.


ASSET MANAGEMENT
Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions.


QUANTITATIVE STRATEGISTS
Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform.


RESPONSIBILITIES
As a quantitative strategist your responsibilities will include:
 

  • Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics
  • Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance
  • Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environmen
  • Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing
  • Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions
  • Prioritize across competing problems, communicate with key stakeholders
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 opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law
Software Engineering – Full Stack/Back End Engineer
Goldman Sachs
Goldman Sachs

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