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- 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 finance.
- Benefits: Enjoy competitive pay, wellness programs, and opportunities for personal and professional growth.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
- 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 audiences.
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm‑wide networks to benefits, wellness and personal finance offerings and mindfulness programs.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
GBM Public, FICC SMM Quantitative Researcher, ASO/VP, London employer: Goldman Sachs
Contact Detail:
Goldman Sachs 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 current or former employees at Goldman Sachs on LinkedIn. A friendly chat can give us insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills. We should be ready to discuss advanced statistical techniques and how we’ve applied them in real-world scenarios. Practice makes perfect!
✨Tip Number 3
Showcase your coding skills! Be ready to demonstrate your programming prowess in languages like Python or C++. We can even work on some sample projects to highlight our abilities during the interview.
✨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 that we’re genuinely interested in being part of the Goldman Sachs team.
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 programming skills and quantitative background in your application. We want to see how you can apply your knowledge in real-world scenarios, so don’t hold back on showcasing your projects or relevant experiences!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. Use keywords from the job description to demonstrate that you understand what we’re looking for. This shows us you’re genuinely interested in the position and have done your homework.
Be Clear and Concise: When writing your application, clarity is key! We appreciate well-structured responses that get straight to the point. Avoid jargon unless it’s relevant, and make sure your passion for quantitative research shines through.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Goldman Sachs
✨Know Your Quantitative Stuff
Make sure you brush up on your knowledge of statistical analysis techniques and machine learning. Be ready to discuss how you've applied these in real-world scenarios, especially in trading or risk management.
✨Show Off Your Coding Skills
Since strong programming skills are a must, be prepared to demonstrate your proficiency in languages like Python or C++. You might even face some coding challenges during the interview, so practice writing clean, efficient code.
✨Communicate Clearly
You’ll need to explain complex quantitative concepts to both technical and non-technical audiences. Practice articulating your thoughts clearly and concisely, perhaps by explaining your past projects to friends or family who aren’t in the field.
✨Prepare for High-Pressure Scenarios
Given the fast-paced environment, think of examples from your past where you successfully managed multiple priorities under pressure. Highlight your self-management skills and how you thrive in challenging situations.