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For Companies At a Glance
- Tasks: Join our team to develop cutting-edge quantitative trading strategies and models.
- Company: Goldman Sachs is a leading global investment banking, securities and investment management firm.
- Benefits: Enjoy competitive pay, remote work options, and access to top-tier resources.
- Why this job: Be at the forefront of finance, solving real-world problems with innovative technology and analytics.
- Qualifications: Strong academic background in quantitative fields and programming skills in Python or similar languages.
- Other info: Ideal for self-starters eager to thrive in a fast-paced, collaborative environment.
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 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 strategists who work to transform the Equity business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as stock, options, ETFs and futures, with strategies including market making, automatic quoting, central risk books, systematic trading and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm.
Role Responsibilities
- Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives.
- Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive systematic strategies which make trading and risk management decisions in real time.
- Implement frameworks to manage risk centrally and build optimal portfolios across asset classes using factor models and other techniques.
- Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data.
- Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams.
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.
- Self-starter with strong self-management skills, ability to manage multiple priorities and deliver in a high-pressure environment.
- Excellent written and verbal communication skills.
We are also looking for a FICC / Rates / Commodity / EQ Index Futures Quantitative Researcher / Quantitative Trader in Macro space.
Requirements
- Ability to analyze large and unstructured datasets and derive high-quality predictive signals.
- Ability to implement trading signals in a production environment.
- Strong computer programming and system design skills.
- Contribute to the team’s research and trading tools library.
- Experience in portfolio construction is a plus.
Background
- An advanced degree in Math/Statistics/Physics/Engineering/Computer science. Master or Ph.D.
- 1-3 years of experience working as a quantitative researcher/quantitative trader in the systematic trading space.
- Experience in systematic macro space (FX/Rates/Commodity/EQ Index Futures) is a plus.
Skillset
- Strong in mathematics, statistics and machine learning.
- Strong programming skills – specifically in Python.
- Well versed in version control tools such as Git.
- Experience in developing in a Linux environment is a plus.
- Strong communication skills.
FICC / Equity, Quantitative Researcher / Quantitative Trader, Associate / Analyst, London employer: Goldman Sachs
Contact Detail:
Goldman Sachs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FICC / Equity, Quantitative Researcher / Quantitative Trader, Associate / Analyst, London
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and market making. Follow industry news, read relevant research papers, and engage with online communities to stay updated on new techniques and technologies that are shaping the field.
✨Tip Number 2
Network with professionals already working in quantitative roles at firms like Goldman Sachs. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and gain insights into their experiences and expectations.
✨Tip Number 3
Develop a strong understanding of statistical analysis and machine learning techniques. Consider working on personal projects or contributing to open-source projects that showcase your programming skills in Python and your ability to analyse large datasets.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and problem-solving scenarios related to quantitative finance. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with the types of questions you might face.
We think you need these skills to ace FICC / Equity, Quantitative Researcher / Quantitative Trader, Associate / Analyst, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic achievements in quantitative fields like mathematics or computer science. Emphasise any relevant experience in quantitative research or trading, particularly in systematic trading environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative trading and your understanding of the role's responsibilities. Mention specific skills such as programming in Python and your experience with statistical analysis techniques that align with the job description.
Showcase Relevant Projects: If you have worked on projects involving machine learning, statistical modelling, or algorithmic trading, be sure to include these in your application. Detail your contributions and the outcomes to demonstrate your practical experience.
Highlight Communication Skills: Since excellent communication is crucial for this role, provide examples of how you've effectively communicated complex quantitative concepts to non-technical stakeholders. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at Goldman Sachs
✨Showcase Your Quantitative Skills
Be prepared to discuss your academic background and any relevant projects that demonstrate your expertise in mathematics, statistics, or programming. Highlight specific examples where you've applied these skills to solve complex problems.
✨Demonstrate Programming Proficiency
Since strong programming skills are crucial for this role, be ready to talk about your experience with languages like Python, C++, or Java. You might even be asked to solve a coding problem during the interview, so brush up on your coding skills beforehand.
✨Understand the Trading Environment
Familiarise yourself with the current trends in quantitative trading and market making. Being able to discuss recent developments in the financial markets or specific strategies will show your genuine interest and understanding of the industry.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis, machine learning, and risk management. Review key concepts and be ready to explain how you would apply them in real-world scenarios, especially in relation to the role's responsibilities.
