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- Tasks: Drive AI and ML technologies to solve real-world challenges in finance.
- Company: Join Goldman Sachs, a leading global investment firm with a focus on innovation.
- Benefits: Enjoy competitive pay, diverse opportunities, and a supportive work culture.
- Why this job: Be at the forefront of AI research and make a tangible impact in finance.
- Qualifications: Experience in Python and AI/ML, with a relevant degree or industry experience.
- Other info: Dynamic environment with excellent growth opportunities and commitment to diversity.
The predicted salary is between 36000 - 60000 £ per year.
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Goldman Sachs is seeking an Applied AI Researcher to join our dynamic Applied Artificial Intelligence (AI) Research team. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge AI and Machine Learning (ML) technologies at the firm.
In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of what’s possible in the intersection of quantitative research and artificial intelligence!
Your responsibilities will include:
- Collaborating effectively with colleagues to advance production machine-learning systems and applications.
- Conceptualizing, experimenting with, and assessing AI/ML-based software systems.
- Developing, testing, and maintaining high-quality, production-ready code.
- Demonstrating technical leadership by taking charge of cross-team projects.
- Creating libraries and frameworks that underpin reliable and testable systems.
- Representing Goldman Sachs at conferences and within open-source communities.
Required Qualifications:
- Strong hands-on experience building and maintaining large-scale Python applications.
- A Master's or equivalent degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
- A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
- Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
Applied Research - Artificial Intelligence - London - Associate employer: Goldman Sachs
Contact Detail:
Goldman Sachs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Research - Artificial Intelligence - London - Associate
✨Tip Number 1
Network like a pro! Reach out to current employees at Goldman Sachs on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and might even lead to a referral!
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss your AI/ML projects in detail. We want to showcase our hands-on experience and problem-solving abilities.
✨Tip Number 3
Showcase your passion for AI and finance! During interviews, share how you've applied AI/ML in real-world scenarios, especially in finance. This will help us stand out as candidates who truly understand the industry.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows that we’re genuinely interested in being part of the Goldman Sachs team.
We think you need these skills to ace Applied Research - Artificial Intelligence - London - Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your hands-on experience in AI/ML and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for Goldman Sachs. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any interesting AI/ML projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our culture there!
How to prepare for a job interview at Goldman Sachs
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be prepared to discuss your hands-on experience with Python applications and how you've tackled challenges in the financial domain. This will show that you're not just familiar with the concepts, but that you can apply them effectively.
✨Showcase Your Collaboration Skills
Goldman Sachs values teamwork, so be ready to share examples of how you've collaborated on projects. Think about specific instances where you worked with colleagues to advance machine-learning systems or contributed to cross-team projects. Highlighting your ability to work well with others will set you apart.
✨Demonstrate Technical Leadership
Prepare to discuss any leadership roles you've taken in previous projects. Whether it was leading a team or taking charge of a significant project, showcasing your technical leadership will resonate well with the interviewers. They want to see that you can drive initiatives and inspire others.
✨Engage with the Community
If you've represented your previous employers at conferences or contributed to open-source communities, make sure to mention this. It shows your commitment to the field and your willingness to share knowledge. Being active in the community can demonstrate your passion for AI and ML, which is crucial for this role.
