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- Tasks: Lead quantitative trading strategies and develop market-making models for equities and derivatives.
- Company: Goldman Sachs is a top global investment banking and securities firm with a commitment to diversity.
- Benefits: Enjoy growth opportunities, a diverse work environment, and support for your community.
- Why this job: Join a cutting-edge team solving real-world financial challenges with advanced analytics and AI.
- Qualifications: Strong background in quantitative fields and programming skills in C++, Java, or Python required.
- Other info: Goldman Sachs values diversity and provides reasonable accommodations for candidates with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
In Goldman Sachs, quantitative strategists are at the cutting edge of our businesses, solving real-world problems through analytical methods. Working closely with traders and sales, strats provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions.
Our team focuses on transforming the Equity business through quantitative trading and automation of key daily decisions. We work across various products such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate with traders and sales to deliver value to clients and the firm.
Role Responsibilities
- Lead our Quantitative Trading & Market Making desk, developing market making and quoting strategies for equities, derivatives, and cash products.
- Apply advanced statistical and AI techniques, such as neural networks, to build models that inform systematic trading and risk management decisions in real time.
- Implement risk management frameworks and develop optimal portfolios across asset classes using factor models and other techniques.
- Create model calibration frameworks for large-scale statistical and AI models operating on extensive time series data.
- Advance market making strategies using various technologies in collaboration with Quant Developers and engineering teams.
Basic Qualifications
- Strong academic background in a quantitative field such as physics, mathematics, statistics, engineering, or computer science.
- Proficient programming skills in C++, Java, or Python, with experience in object-oriented or functional programming.
Goldman Sachs is committed to fostering diversity and inclusion, providing growth opportunities, and supporting our community. We are dedicated to providing reasonable accommodations for candidates with disabilities during our recruitment process.
Global Banking & Markets - Quantitative Engineering - Trading Strats - Vice President - London (Lond employer: Goldman Sachs, Inc.
Contact Detail:
Goldman Sachs, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Banking & Markets - Quantitative Engineering - Trading Strats - Vice President - London (Lond
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and market making. Understanding current strategies and technologies used in the industry will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of quantitative finance. Attend industry conferences, webinars, or local meetups to connect with people who work at Goldman Sachs or similar firms. This can provide valuable insights and potentially lead to referrals.
✨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 demonstrate your ability to apply these languages in quantitative contexts.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative finance. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Global Banking & Markets - Quantitative Engineering - Trading Strats - Vice President - London (Lond
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Vice President position in Quantitative Engineering at Goldman Sachs. Familiarise yourself with the specific skills needed, such as programming in C++, Java, or Python, and the application of statistical and AI techniques.
Tailor Your CV: Craft your CV to highlight relevant experience and skills that align with the job description. Emphasise your academic background in quantitative fields and any practical experience in quantitative trading, risk management, or algorithmic execution.
Write a Compelling Cover Letter: Your cover letter should reflect your passion for quantitative finance and your understanding of the role. Discuss how your skills and experiences make you a perfect fit for the team, and mention any specific projects or achievements that demonstrate your capabilities.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Check for grammatical errors, clarity, and ensure that all information is accurate. A polished application reflects your attention to detail, which is crucial in this field.
How to prepare for a job interview at Goldman Sachs, Inc.
✨Showcase Your Quantitative Skills
Make sure to highlight your strong academic background in quantitative fields like physics, mathematics, or statistics. Be prepared to discuss specific projects or experiences where you applied these skills, especially in relation to trading strategies or risk management.
✨Demonstrate Programming Proficiency
Since programming is crucial for this role, be ready to talk about your experience with languages like C++, Java, or Python. You might even be asked to solve a coding problem during the interview, so brush up on your coding skills and be familiar with object-oriented or functional programming concepts.
✨Understand Market Dynamics
Familiarise yourself with current trends in global banking and markets, particularly in quantitative trading and market making. Being able to discuss recent developments or challenges in the industry will show your genuine interest and understanding of the field.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis, AI techniques, and model calibration frameworks. Review key concepts and be ready to explain how you would apply them in real-world scenarios, particularly in the context of equities and derivatives.
