At a Glance
- Tasks: Drive AI adoption and collaborate on machine learning systems in finance.
- Company: Leading global investment bank with a commitment to diversity and inclusion.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make an impact in finance using cutting-edge AI and machine learning technologies.
- Qualifications: Strong Python skills and relevant academic qualifications required.
- Other info: Join a diverse team and represent the company at industry conferences.
The predicted salary is between 36000 - 60000 Β£ per year.
A leading global investment bank is seeking an Applied AI Researcher to join their Applied Artificial Intelligence Research team in the UK. The role offers the opportunity to drive the adoption of cutting-edge AI and machine learning technologies.
Responsibilities include:
- Collaborating on machine learning systems
- Developing high-quality code
- Representing the company at conferences
Candidates should have strong Python experience and relevant academic qualifications. This position fosters a dynamic work environment committed to diversity and inclusion.
Applied AI Researcher: Production ML for Finance in London employer: Goldman Sachs, Inc.
Contact Detail:
Goldman Sachs, Inc. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Applied AI Researcher: Production ML for Finance in London
β¨Tip Number 1
Network like a pro! Reach out to professionals in the finance and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to machine learning. This will give you an edge when discussing your experience.
β¨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Be ready to discuss how you've applied these in real-world scenarios, especially in finance.
β¨Tip Number 4
Donβt forget to apply through our website! Weβre always looking for talented individuals who are passionate about AI and finance. Your dream job could be just a click away!
We think you need these skills to ace Applied AI Researcher: Production ML for Finance in London
Some tips for your application π«‘
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used it in past projects, especially in machine learning contexts. Don't just list it; give us examples of what you've built!
Tailor Your Application: Take a moment to customise your application for this role. We love seeing candidates who understand our focus on AI and finance. Mention any relevant projects or experiences that align with the job description to make your application stand out.
Be Yourself: We value diversity and inclusion, so let your personality shine through in your application. Share your unique perspective and experiences that could contribute to our dynamic work environment. Authenticity goes a long way!
Apply Through Our Website: To ensure your application gets the attention it deserves, please apply directly through our website. This helps us keep track of all applications and makes the process smoother for everyone involved.
How to prepare for a job interview at Goldman Sachs, Inc.
β¨Know Your Python Inside Out
Since strong Python experience is a must for this role, make sure you brush up on your coding skills. Be prepared to discuss your past projects and how you've used Python in machine learning applications. Practising coding challenges can also help you feel more confident.
β¨Showcase Your AI Knowledge
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to finance. Be ready to discuss how you can apply these technologies in a banking context. This shows that you're not just knowledgeable but also genuinely interested in the field.
β¨Prepare for Collaborative Questions
Collaboration is key in this role, so expect questions about teamwork and communication. Think of examples where you've successfully worked with others on projects, particularly in tech or research settings. Highlight your ability to adapt and contribute to a diverse team.
β¨Engage with Their Vision
Research the investment bank's approach to AI and machine learning. Be prepared to discuss how your values align with their commitment to diversity and inclusion. Showing that you understand and support their mission can set you apart from other candidates.