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- Tasks: Analyse complex data and provide insights for financial services clients using Python and SQL.
- Company: Join a dynamic start-up focused on innovative solutions in asset management.
- Benefits: Fully remote work, competitive pay of £500/day, and long-term contract opportunities.
- Other info: Work with expert teams and enjoy a collaborative, agile culture.
- Why this job: Make a real impact by solving complex data challenges in a fast-paced environment.
- Qualifications: Experience in asset management operations, SQL, and Python libraries like Pandas and NumPy.
The predicted salary is between 50000 - 65000 £ per year.
You will join one of our high-performing consultant teams, delivering cutting-edge solutions for our financial services clients. This is a hands-on role where your data analysis skills and financial acumen will be essential to supporting senior business experts. You will be moving beyond the limitations of standard tools like Excel to solve complex data challenges. Working directly with critical data in the reinsurance domain, performing data crunching & providing actionable insights that inform key decisions.
Key Responsibilities
- Perform complex data manipulation and analysis to support senior business experts and stakeholders.
- Utilise Python and its data libraries to handle large datasets and automate analytical tasks.
- Design and execute robust data mapping and analysis projects.
- Work with our expert teams to understand client needs and translate them into effective data solutions.
- Working in a fast paced start-up agile and high pressure environments.
Must Have
- Domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities, trading data.
- SQL: Data manipulation and querying.
- DBT: Transforming raw data in the warehouse into clean, tested & documented models using SQL.
- Python: Experience in libraries like Pandas and NumPy.
- Communication: Excellent senior stakeholder, articulate, presenting & engagement skills.
Nice-to-Haves
- Familiarity with Databricks.
- Cloud Platform: Building on Azure / GCP.
Additional Information
- Fully Remote
- Outside IR35
- Long term contract
- £500/day
Senior Analytics Engineer (Python, SQL, Asset Management) in London employer: Toucanberry Tech Ltd
Contact Detail:
Toucanberry Tech Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer (Python, SQL, Asset Management) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in asset management or analytics. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨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 your technical skills. Be ready to discuss how you've tackled complex data challenges in the past, and don’t forget to highlight your experience with tools like DBT and cloud platforms.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Analytics Engineer (Python, SQL, Asset Management) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and data manipulation in your application. We want to see how you've tackled complex data challenges in the past, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention your familiarity with asset management and how your previous roles have prepared you for this position. We love seeing candidates who take the time to connect their experience with our needs.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Toucanberry Tech Ltd
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used libraries like Pandas and NumPy in past projects, as well as how you've manipulated and queried data using SQL. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Understand the Financial Landscape
Since this role is in asset management, it's crucial to have a solid grasp of financial securities and trading data. Do some research on current trends in the industry and be prepared to discuss how your domain knowledge can help solve complex data challenges for clients.
✨Communicate Clearly
You'll need to engage with senior stakeholders, so practice articulating your thoughts clearly and confidently. Think about how you can present complex data insights in a way that's easy to understand. Consider preparing a few examples of how you've successfully communicated data findings in the past.
✨Show Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach a complex data problem and what steps you would take to find a solution. This will demonstrate your analytical thinking and ability to work under pressure, which are key in a fast-paced environment.