At a Glance
- Tasks: Build generative AI applications for complex financial workflows and develop knowledge graphs.
- Company: Join 9fin, a forward-thinking company in the finance tech space.
- Benefits: Equity, competitive salary, hybrid work options, and professional development budgets.
- Other info: Dynamic environment with opportunities for growth and collaboration.
- Why this job: Make an impact in finance with cutting-edge AI technology and innovative solutions.
- Qualifications: Strong Python skills and experience in deploying AI solutions at scale.
The predicted salary is between 70000 - 90000 £ per year.
9fin is seeking a Senior AI Engineer in Greater London to build generative AI applications tailored for complex financial workflows. This role emphasizes model development, knowledge graph construction, and collaboration within a dynamic environment.
The ideal candidate will have strong Python skills and experience in deploying AI solutions at scale.
Benefits include:
- Equity
- Competitive salaries
- Hybrid work options
- Professional development budgets
Senior AI Engineer: Knowledge Graphs for Finance in London employer: 9fin
At 9fin, we pride ourselves on being an exceptional employer in the heart of Greater London, offering a vibrant work culture that fosters innovation and collaboration. Our commitment to employee growth is reflected in our competitive salaries, equity options, and generous professional development budgets, ensuring that our team members thrive both personally and professionally while working on cutting-edge AI applications in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer: Knowledge Graphs for Finance in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like 9fin.
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We think you need these skills to ace Senior AI Engineer: Knowledge Graphs for Finance in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at 9fin, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 9fin. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at 9fin
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at 9fin!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
