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- Tasks: Lead market making strategies and automate key trading decisions in a fast-paced environment.
- Company: Goldman Sachs is a top global investment banking and securities firm with a commitment to diversity.
- Benefits: Enjoy professional growth opportunities, wellness programs, and a supportive work culture.
- Why this job: Join a cutting-edge team that drives innovation in finance through advanced analytics and technology.
- Qualifications: Strong quantitative background and programming skills required; 5+ years of experience preferred.
- Other info: Opportunities for personal and professional development in a collaborative environment.
The predicted salary is between 72000 - 108000 £ per year.
In Goldman Sachs, quantitative strategists are at the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats\’ invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.
We are a team of desk strategists who work to transform the FICC and Equity Derivatives businesses by automating the key decisions taken every day. Our team has a wide remit including automatic quoting, optimizing hedging decisions, and developing algorithms to trade derivatives on venues around the world. We also deploy statistical analysis techniques and mathematical models to enhance the decision-making process, with the overall aim of improving business performance while working closely with traders and salespeople on the trading floor.
Role Responsibilities
- Take a leading role on our Quantitative Market Making desk, implementing market making strategies across equities products from stocks to futures and options.
- Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes using factor models and other techniques.
- Build data pipelines and model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data.
- Drive our market making platform development using a range of technologies, and collaborate closely with engineering teams who support the underlying infrastructure and platforms.
- Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive market making and risk management decisions in real time.
Basic Qualifications
- Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
- Strong programming skills in an object-oriented or functional paradigm such as C++, Java, or Python.
- At least 5 years’ experience.
- Self-starter with strong self-management skills, ability to manage multiple priorities and work in a high-pressure environment.
- Excellent written and verbal communication skills.
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:
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.
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Global Banking & Markets, Quantitative Market Making Strat, VP, London London, Greater London, [...] employer: Goldman Sachs Group, Inc.
Contact Detail:
Goldman Sachs Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Banking & Markets, Quantitative Market Making Strat, VP, London London, Greater London, [...]
✨Tip Number 1
Make sure to showcase your strong programming skills in languages like C++, Java, or Python. Highlight any relevant projects or experiences where you've implemented quantitative strategies or automated algorithms.
✨Tip Number 2
Demonstrate your experience with statistical analysis and machine learning techniques. Be prepared to discuss specific models you've built or used, especially those related to market making or risk management.
✨Tip Number 3
Emphasize your ability to work under pressure and manage multiple priorities. Share examples from your past roles where you successfully navigated high-stress situations while delivering results.
✨Tip Number 4
Foster connections with current employees or alumni from Goldman Sachs. Networking can provide valuable insights into the company culture and the specific expectations for the Quantitative Market Making role.
We think you need these skills to ace Global Banking & Markets, Quantitative Market Making Strat, VP, London London, Greater London, [...]
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in quantitative analysis, market making, and programming. Detail specific projects or roles where you implemented algorithms or statistical models, as this aligns with the responsibilities of the position.
Showcase Technical Skills: Clearly list your programming skills, especially in languages like C++, Java, or Python. Provide examples of how you've used these skills in previous roles, particularly in developing automated systems or data pipelines.
Demonstrate Problem-Solving Abilities: In your application, include examples of how you've solved complex financial problems using quantitative methods. This could involve discussing specific challenges you faced and the analytical techniques you employed to overcome them.
Communicate Effectively: Since excellent communication skills are essential for this role, ensure that your application is well-structured and free of jargon. Clearly articulate your thoughts and make it easy for the reader to understand your qualifications and experiences.
How to prepare for a job interview at Goldman Sachs Group, Inc.
✨Showcase Your Quantitative Skills
Be prepared to discuss your academic background and how it relates to quantitative strategies. Highlight specific projects or experiences where you applied statistical analysis or mathematical models to solve complex problems.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential, be ready to talk about your experience with languages like C++, Java, or Python. Consider discussing a project where you implemented algorithms or automated processes, as this will showcase your technical capabilities.
✨Understand Market Making Strategies
Familiarize yourself with market making concepts and be prepared to discuss how you would implement these strategies across various equity products. Showing a deep understanding of the financial instruments involved will set you apart.
✨Communicate Effectively
Excellent communication skills are crucial in this role. Practice explaining complex quantitative concepts in simple terms, as you will need to collaborate closely with traders and sales teams. Clear communication can demonstrate your ability to work in a high-pressure environment.
