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For Companies At a Glance
- Tasks: Lead quantitative trading strategies and develop market making techniques for equities.
- Company: Goldman Sachs is a top global investment firm, dedicated to innovation and diversity.
- Benefits: Enjoy comprehensive benefits, wellness programs, and opportunities for growth in a dynamic environment.
- Why this job: Join a team transforming finance with cutting-edge analytics and technology, making a real impact.
- Qualifications: Strong background in quantitative fields; proficient in programming languages like C++, Java, or Python.
- Other info: Collaborate with traders and engineers to enhance trading strategies and risk management.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
At Goldman Sachs, our quantitative strategists are at the forefront of our business, solving real-world problems through various analytical methods. Working closely with traders and sales teams, strategists provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions.
We are a team dedicated to transforming the Equity business through quantitative trading and automating key daily decisions. Our work spans across product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance, collaborating closely with traders and sales teams 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, from cash to derivatives.
- Apply advanced statistical analysis and 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 our statistical and AI models, handling large-scale time series data.
- Advance our market making strategies through technological development and collaborate with Quant Developers and engineering teams.
Basic Qualifications
- Strong academic background in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
- Proficiency in programming languages like C++, Java, or Python, with an understanding of object-oriented or functional paradigms.
- Self-motivated with excellent self-management skills, capable of managing multiple priorities in high-pressure environments.
- Exceptional written and verbal communication skills.
About Goldman Sachs
Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York, with offices worldwide. We are committed to fostering diversity and inclusion, providing growth opportunities, and offering comprehensive benefits, wellness, and development programs. Learn more at GS.com/careers.
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Quantitative Engineering - Trading Strats employer: Goldman Sachs Bank AG
Contact Detail:
Goldman Sachs Bank AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Engineering - Trading Strats
✨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 insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your programming skills, especially 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 analysis. 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 Quantitative Engineering - Trading Strats
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic background in quantitative fields and relevant programming skills. Emphasise any experience with statistical analysis, mathematical modelling, or algorithmic trading that aligns with the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative trading and how your skills can contribute to Goldman Sachs. Mention specific projects or experiences that demonstrate your ability to solve complex problems and work under pressure.
Showcase Technical Skills: Clearly outline your proficiency in programming languages like C++, Java, or Python. Provide examples of how you've used these skills in past projects, especially in relation to statistical analysis or model development.
Highlight Communication Skills: Since the role requires collaboration with traders and sales teams, emphasise your written and verbal communication skills. Include examples of how you've effectively communicated complex ideas or analyses to non-technical stakeholders.
How to prepare for a job interview at Goldman Sachs Bank AG
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like C++, Java, or Python during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in quantitative analysis or model development.
✨Demonstrate Your Analytical Thinking
Prepare to discuss how you've used advanced statistical techniques and mathematical models in past experiences. Be ready to explain your thought process when solving complex problems, particularly in high-pressure situations.
✨Communicate Clearly
Exceptional communication skills are crucial for this role. Practice explaining complex concepts in a simple manner, as you'll need to collaborate with traders and sales teams who may not have a technical background.
✨Understand the Business Context
Familiarise yourself with Goldman Sachs' business model and the specific challenges faced by their trading desks. Showing that you understand the financial landscape and how quantitative strategies can drive decisions will set you apart.
