At a Glance
- Tasks: Lead quantitative trading strategies and develop advanced models for real-time trading decisions.
- Company: Join Goldman Sachs, a global leader in investment banking and financial services.
- Benefits: Enjoy competitive pay, wellness programs, and opportunities for professional growth.
- Why this job: Make an impact in finance using cutting-edge technology and innovative strategies.
- Qualifications: Strong background in quantitative fields and programming skills in languages like Python or C++.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
We are a team of FICC Quantitative Researchers who work to transform the Fixed Income, Currencies, and Commodities (FICC) business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as Interest Rates (IR), Foreign Exchange (FX), Credit, and Commodities, 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, including advanced machine learning and AI, 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 FICC products.
- Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real-time trading and risk management decisions.
- Implement frameworks to manage risk centrally and build optimal portfolios across FICC asset classes.
- Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data, ensuring accuracy and compliance.
- Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams to enhance core analytics infrastructure and trading tools.
- Develop and enhance critical pricing, trading, and risk tools, and create new frameworks leveraging trade and franchise data to optimize and systematize market making and hedging strategies.
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, with the ability to articulate complex quantitative concepts to both technical and non-technical audiences.
Global Banking & Markets, FICC SMM Quantitative Researcher, Associate / VP, 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, FICC SMM Quantitative Researcher, Associate / VP, London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to quantitative research. Use mock interviews with friends or mentors to get comfortable articulating your thought process and technical skills.
✨Tip Number 3
Showcase your projects! Whether it's a personal project or something from your studies, having tangible examples of your work can really impress interviewers. Make sure to explain the methodologies you used and the impact of your findings.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Goldman Sachs.
We think you need these skills to ace Global Banking & Markets, FICC SMM Quantitative Researcher, Associate / VP, London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills and quantitative background in your application. We want to see how you can apply your knowledge in real-world scenarios, especially in FICC products.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain complex concepts, as we value excellent communication skills. Remember, we need to understand your thought process!
Tailor Your Application: Don’t just send a generic application! Tailor it to the role by mentioning specific experiences that relate to market making and quantitative research. Show us why you’re the perfect fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at Goldman Sachs Group, Inc.
✨Know Your Quantitative Stuff
Make sure you brush up on your knowledge of statistical analysis, machine learning, and the specific quantitative techniques mentioned in the job description. Be ready to discuss how you've applied these skills in real-world scenarios, especially in FICC products.
✨Show Off Your Programming Skills
Since strong programming skills are a must, be prepared to talk about your experience with languages like C++, Java, or Python. You might even want to bring examples of code you've written or projects you've worked on that demonstrate your technical prowess.
✨Communicate Clearly
You’ll need to articulate complex concepts to both technical and non-technical audiences. Practice explaining your past projects or models in simple terms, as this will show your ability to bridge the gap between quantitative research and practical application.
✨Prepare for High-Pressure Scenarios
Given the fast-paced environment, think of examples where you've successfully managed multiple priorities under pressure. This could be during your studies or in previous roles. Highlighting your self-management skills will show you're ready for the demands of the role.