Fund Finance Strats: ML-Driven Pricing & Risk in London

Fund Finance Strats: ML-Driven Pricing & Risk in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Goldman Sachs Bank AG

At a Glance

  • Tasks: Develop pricing models and risk management solutions using machine learning techniques.
  • Company: Goldman Sachs Bank AG, a leading global investment bank.
  • Benefits: Competitive salary, professional development, and a dynamic work environment.
  • Other info: Collaborative culture with opportunities for career advancement.
  • Why this job: Join a prestigious firm and leverage your skills in quantitative finance and machine learning.
  • Qualifications: Strong background in mathematics or computer science and proficiency in Python.

The predicted salary is between 60000 - 80000 £ per year.

Goldman Sachs Bank AG in London is seeking an Associate/Vice President for their Capital Solutions Group. This role involves developing pricing models and risk management solutions using quantitative methods and machine learning techniques.

The ideal candidate has a strong background in quantitative fields such as mathematics or computer science, and proficiency in programming languages like Python. A collaborative mindset and effective communication skills are essential for success.

Fund Finance Strats: ML-Driven Pricing & Risk in London employer: Goldman Sachs Bank AG

Goldman Sachs Bank AG is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. Employees benefit from comprehensive professional development opportunities, a strong emphasis on teamwork, and access to cutting-edge technology, making it an ideal place for those looking to advance their careers in finance and quantitative analysis. The company's commitment to diversity and inclusion further enriches its vibrant culture, ensuring that every voice is heard and valued.

Goldman Sachs Bank AG

Contact Details:

Goldman Sachs Bank AG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Fund Finance Strats: ML-Driven Pricing & Risk in London

Tip Number 1

Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work at Goldman Sachs or similar firms. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your quantitative models or machine learning projects. This is your chance to demonstrate your expertise in Python and other programming languages, making you stand out from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments like Goldman Sachs.

Tip Number 4

Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!

We think you need these skills to ace Fund Finance Strats: ML-Driven Pricing & Risk in London

Quantitative Methods
Machine Learning Techniques
Pricing Models Development
Risk Management Solutions
Mathematics
Computer Science
Python Programming

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your quantitative background and programming prowess in Python. We want to see how your skills align with the role, so don’t hold back!

Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Fund Finance Strats position. We love seeing candidates who take the time to connect their experience with what we’re looking for.

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your communication skills shine through in your writing.

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.

How to prepare for a job interview at Goldman Sachs Bank AG

Brush Up on Your Quant Skills

Make sure you’re well-versed in quantitative methods and machine learning techniques. Review key concepts and be ready to discuss how you've applied them in past projects. This will show your technical prowess and readiness for the role.

Show Off Your Programming Skills

Since proficiency in Python is crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with libraries relevant to pricing models and risk management.

Prepare for Collaborative Scenarios

This role requires a collaborative mindset, so think of examples where you’ve successfully worked in teams. Be ready to discuss how you communicate complex ideas clearly and effectively, especially in high-pressure situations.

Know the Company and Its Culture

Research Goldman Sachs Bank AG and understand their values and recent developments in the Capital Solutions Group. Tailor your answers to reflect how your skills and experiences align with their mission and culture, showing that you’re not just a fit for the role but for the company as well.