At a Glance
- Tasks: Build and improve AI models for financial crime solutions.
- Company: Arva AI, a forward-thinking startup in London.
- Benefits: Flexible work arrangements and the chance to make a real impact.
- Other info: Opportunity to work in a dynamic environment with global reach.
- Why this job: Join a mission-driven team tackling financial crime with cutting-edge AI technology.
- Qualifications: Experience in AI research and model development.
The predicted salary is between 72000 - 88000 £ per year.
Arva AI, a London-based startup focused on AI-driven financial crime solutions, seeks an AI Research Engineer to build in-house models, train and evaluate LLMs and agentic systems powering our compliance platform. You will own model improvement cycles, support production readiness, and work with product teams to deliver measurable impact while enjoying flexible, global-friendly work arrangements.
AI Research Engineer: Build LLMs for FinCrime in London employer: Arva AI
Arva is an exceptional employer located in the heart of Central London, offering a dynamic work culture that prioritises speed, outcome obsession, and relentless urgency. Employees enjoy significant ownership in their roles, with opportunities for direct influence on customer service and product development, alongside competitive salaries and equity packages. The company fosters a collaborative environment where team members can thrive, grow, and make a meaningful impact in the fight against financial crime.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer: Build LLMs for FinCrime in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Research Engineer: Build LLMs for FinCrime 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 Arva AI, 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 Arva AI. 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 Arva AI
✨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!
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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 Arva AI!
✨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.
