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For Companies At a Glance
- Tasks: Analyse data using SQL and Python to drive insights and automate processes.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by developing AI solutions that deliver real business value.
- Qualifications: Experience in data analysis and a solid understanding of Generative AI concepts.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Your responsibilities:
- Deliver end-to-end data analysis using SQL and Python to generate insights, automate processes, and support strategic decision-making.
- Build interactive dashboards and visualizations that drive performance tracking and business insights.
- Develop, finetune, benchmark, and evaluate GenAI/LLM models, including RAG pipelines and robust evaluation frameworks.
- Design scalable data pipelines, enforce data quality, and implement strong governance aligned to commercial and institutional requirements.
- Collaborate with business stakeholders to translate business needs into analytical solutions and AI capabilities that deliver measurable value.
Your Profile
Essential skills/knowledge/experience:
- Strong experience in data analysis using Python (Pandas, NumPy) and SQL
- Good understanding of Generative AI concepts (LLMs, embeddings, prompt engineering)
- Experience working with structured and unstructured data (text, logs, transaction data)
- Knowledge of financial crime domains (AML, KYC, transaction monitoring, fraud)
- Familiarity with AWS data & AI services (Azure OpenAI, Databricks preferred)
GenAI Data Analyst in City of London employer: VALLUM ASSOCIATES LIMITED
Contact Detail:
VALLUM ASSOCIATES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on Generative AI concepts and your technical skills. Practice common interview questions related to data analysis and be ready to discuss how you've tackled real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace GenAI Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. Be specific about your experience with data pipelines and dashboards.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you’ve used your analytical skills to drive business insights and support decision-making.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at VALLUM ASSOCIATES LIMITED
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects, as well as any experience you have with Generative AI concepts. This will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Analytical Mindset
Prepare to talk about specific examples where you've delivered data analysis that led to actionable insights. Think about how you’ve built dashboards or visualisations that helped track performance. Being able to articulate your thought process will demonstrate your analytical capabilities and problem-solving skills.
✨Understand the Business Context
Familiarise yourself with the financial crime domains mentioned in the job description, like AML and KYC. Be prepared to discuss how your analytical solutions can add value to these areas. This shows that you’re not just a tech whiz, but that you understand the business implications of your work.
✨Collaborate Like a Pro
Since collaboration is key, think of examples where you've worked with stakeholders to translate their needs into analytical solutions. Highlight your communication skills and how you ensure everyone is on the same page. This will show that you can bridge the gap between technical and non-technical teams.
