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- Tasks: Drive AI and machine learning adoption in finance through collaboration and high-quality code development.
- 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: Join a cutting-edge team and make an impact in the finance sector with AI.
- Qualifications: Strong Python skills and relevant academic qualifications required.
The predicted salary is between 36000 - 60000 £ 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 employer: Goldman Sachs, Inc.
Contact Detail:
Goldman Sachs, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Researcher: Production ML for Finance
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and AI sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past projects and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied AI Researcher: Production ML for Finance
Some tips for your application 🫡
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 the time to customise your application for this role. We love seeing candidates who understand our focus on AI and finance. Mention specific technologies or methodologies you've worked with that align with our needs.
Be Yourself: We value diversity and inclusion, so let your personality shine through in your application. Share your unique experiences and perspectives that could contribute to our dynamic team. Authenticity goes a long way!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Goldman Sachs, Inc.
✨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.
✨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.
✨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.
✨Engage with Their Vision
Research the investment bank's approach to AI and machine learning. During the interview, express your enthusiasm for their mission and how you see yourself contributing to it. This will demonstrate your alignment with their values and commitment to diversity and inclusion.
