At a Glance
- Tasks: Design and ship AI features for fintech, focusing on document intelligence and workflow automation.
- Company: Vega, a dynamic London-based fintech revolutionising the alternative asset management industry.
- Benefits: High autonomy, opportunity to shape AI practices, and work with modern tech stacks.
- Other info: Join a fast-paced environment with opportunities for personal and professional growth.
- Why this job: Be a pioneer in AI within fintech and make a significant impact in a high-growth sector.
- Qualifications: Experience in AI development and a passion for innovative technology.
The predicted salary is between 60000 - 80000 £ per year.
Vega is a $28M London-based fintech building AltOS, an AI-powered client and distribution operating system for the $20T alternative asset management industry.
As Vega's first dedicated AI hire, you will design and ship foundational features across document intelligence, agent orchestration, and workflow automation. Working directly with leadership, you'll move prototypes to production for a high-growth sector. This role offers high autonomy to define the company’s AI practice while building on a modern Java and AWS stack.
Location: London, UK
AI/Agent Engineer - Shape Production-Grade AI in Fintech employer: Jack & Jill
Vega is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. As a key player in the fintech sector, employees enjoy high autonomy and the opportunity to shape cutting-edge AI solutions while collaborating closely with leadership. With a strong focus on employee growth and a culture that encourages creativity, Vega provides a unique platform for professionals looking to make a significant impact in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI/Agent Engineer - Shape Production-Grade AI in Fintech
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI/Agent Engineer - Shape Production-Grade AI in Fintech
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 Jack & Jill, 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 Jack & Jill. 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 Jack & Jill
✨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 Jack & Jill!
✨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.
