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For Companies At a Glance
- Tasks: Lead market making strategies and automate hedging algorithms in a fast-paced environment.
- Company: Goldman Sachs is a global leader in investment banking and financial services.
- Benefits: Enjoy competitive compensation, professional development, and a dynamic work culture.
- Why this job: Join a cutting-edge team that transforms finance through innovative quantitative solutions.
- Qualifications: Must have a strong academic background in quantitative fields and programming skills.
- Other info: Collaborate with traders and engineers to enhance trading platforms and decision-making.
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.
- Perform systematic and quantitative analysis of flows and market data, driving business strategy and the design of our quantitative market making platform.
- 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.
- Be involved in platform software development across a range of technologies, collaborating closely with engineering teams who support the underlying infrastructure and platforms.
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.
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Global Banking & Markets, Quantitative Market Making Strat, VP, London employer: caia.org - Jobboard
Contact Detail:
caia.org - Jobboard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Banking & Markets, Quantitative Market Making Strat, VP, London
✨Tip Number 1
Familiarize yourself with the latest trends in quantitative market making and algorithmic trading. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the industry, especially those working at Goldman Sachs or similar firms. Attend relevant conferences, webinars, or meetups to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Brush up on your programming skills, particularly in C++, Java, or Python. Consider working on personal projects or contributing to open-source projects that showcase your ability to implement quantitative strategies and algorithms.
✨Tip Number 4
Prepare to discuss your experience with statistical analysis and mathematical modeling in detail. Be ready to provide examples of how you've applied these techniques in real-world scenarios, as this will be crucial in demonstrating your fit for the role.
We think you need these skills to ace Global Banking & Markets, Quantitative Market Making Strat, VP, London
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in quantitative analysis and market making. Detail specific projects or roles where you implemented strategies or algorithms that align with the responsibilities outlined in the job description.
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 algorithms or performing statistical analysis.
Demonstrate Problem-Solving Abilities: Include examples of how you've solved complex financial problems using analytical methods. This could involve discussing specific challenges you faced and the quantitative techniques you employed to overcome them.
Tailor Your Communication: Since excellent communication skills are essential for this role, ensure your application reflects clarity and precision. Use concise language and structure your application logically to demonstrate your ability to communicate complex ideas effectively.
How to prepare for a job interview at caia.org - Jobboard
✨Showcase Your Quantitative Skills
Be prepared to discuss your academic background and any relevant projects that demonstrate your expertise in quantitative analysis. Highlight specific techniques you've used, such as statistical models or machine learning algorithms, and how they apply to market making.
✨Demonstrate Programming Proficiency
Since strong programming skills are essential for this role, be ready to talk about your experience with languages like C++, Java, or Python. Consider preparing a coding challenge or discussing past projects where you implemented algorithms or automated processes.
✨Understand Market Making Strategies
Familiarize yourself with various market making strategies and be ready to discuss how you would implement them across different asset classes. Showing a deep understanding of the financial products involved will set you apart from other candidates.
✨Communicate Effectively
Excellent communication skills are crucial, especially when collaborating with traders and engineers. Practice explaining complex quantitative concepts in simple terms, as you'll need to convey your ideas clearly to non-technical stakeholders.
