At a Glance
- Tasks: Lead quantitative trading strategies and develop advanced models for market making.
- Company: Join Goldman Sachs, a leader in financial services with a diverse and inclusive culture.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with opportunities to collaborate and innovate.
- 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 C++, Java, or Python.
The predicted salary is between 60000 - 80000 £ 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.
GBM Public, FICC SMM Quantitative Researcher, ASO/VP, London employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GBM Public, FICC SMM Quantitative Researcher, ASO/VP, London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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
Show off your skills! Create a portfolio showcasing your quantitative projects, especially those involving machine learning or statistical analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your thought process. Remember, they want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GBM Public, FICC SMM Quantitative Researcher, ASO/VP, London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your academic achievements and programming skills in your application. We want to see how your background in physics, mathematics, or computer science can contribute to our FICC team.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain complex quantitative concepts, as we need to know you can communicate effectively with both technical and non-technical folks.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific role of Quantitative Researcher at StudySmarter. Show us how your experience aligns with our market making and trading strategies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills, especially in areas like statistical analysis and machine learning. Be ready to discuss specific models you've worked with and how they apply to FICC products.
✨Show Off Your Programming Skills
Since strong programming skills are a must, be prepared to talk about your experience with languages like Python or C++. You might even get asked to solve a coding problem, so practice some common algorithms and data structures beforehand.
✨Communicate Clearly
You’ll need to explain complex concepts to both technical and non-technical folks. Practice articulating your ideas clearly and concisely, perhaps by explaining a project you’ve worked on to someone outside your field.
✨Demonstrate Your Self-Management
This role requires juggling multiple priorities in a high-pressure environment. Think of examples from your past where you successfully managed competing tasks and deadlines, and be ready to share those stories during the interview.