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For Companies At a Glance
- Tasks: Analyse data, resolve issues, and collaborate with teams to enhance processes.
- Company: Join a leading Investment Manager known for innovation and excellence.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning.
- Why this job: Perfect for tech-savvy individuals eager to apply AI in finance and tackle real challenges.
- Qualifications: Strong data skills, Python proficiency, and a degree in STEM or Finance required.
- Other info: 1-2 years of experience needed; no visa sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
We are currently recruiting for a Data Analyst to join a well-established Investment Manager. This role is suited to someone with strong data handling skills, experience with Python and generative AI, and a background in financial services.
Key Responsibilities:
- Investigate and resolve a range of data issues
- Analyse large datasets using Excel and Python
- Support the implementation of system changes and upgrades
- Collaborate with internal teams including Investment, IT, Risk, and Performance
- Apply generative AI techniques to improve processes and efficiency
- Ensure systems deliver accurate, complete, and timely data to internal users and clients
- Contribute to operational risk management and project delivery
Requirements:
To be considered, candidates must have strong data literacy and advanced Excel skills, gained within a financial services environment. Proficiency in Python and demonstrable experience with generative AI tools or techniques are essential. The ideal candidate will have 1–2 years of relevant experience and hold a degree in a STEM or Finance-related discipline.
This is a great opportunity for someone who is comfortable working with complex data in a regulated environment and is motivated to apply emerging technologies to real-world operational challenges. Please note the client is not able to offer visa sponsorship for this position.
Data Analyst employer: Attribution Search
Contact Detail:
Attribution Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, especially Python and generative AI. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those who work as Data Analysts. Attend industry events or join relevant online forums to gain insights and potentially get referrals for the position.
✨Tip Number 3
Prepare to discuss real-world applications of your data analysis skills during interviews. Think of examples where you've successfully resolved data issues or improved processes using Excel and Python, as this will demonstrate your practical experience.
✨Tip Number 4
Stay updated on the latest trends in generative AI and how they can be applied in financial services. Being able to discuss current developments and their implications during your interview can set you apart from other candidates.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data handling skills, experience with Python, and any work you've done in financial services. Use specific examples to demonstrate your proficiency in Excel and generative AI.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Analyst position and how your background aligns with the key responsibilities. Mention your experience with large datasets and your ability to collaborate with various teams.
Showcase Relevant Projects: If you have worked on projects involving data analysis or generative AI, include these in your application. Describe the challenges you faced, the tools you used, and the outcomes of your work.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Attribution Search
✨Showcase Your Data Skills
Be prepared to discuss your experience with data handling, especially in financial services. Highlight specific projects where you've used Excel and Python to analyse large datasets, as this will demonstrate your technical proficiency.
✨Familiarise Yourself with Generative AI
Since the role requires knowledge of generative AI techniques, brush up on relevant tools and applications. Be ready to share examples of how you've applied these techniques to improve processes or solve problems in previous roles.
✨Understand the Company’s Operations
Research the investment manager's operations and their approach to data management. This will help you tailor your answers to show how your skills align with their needs, particularly in collaboration with internal teams like IT and Risk.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would investigate and resolve data issues or support system changes, using real-life examples from your past experiences.
