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- Tasks: Analyse complex data and provide insights for financial services clients using Python and SQL.
- Company: Join a high-performing consultancy in the asset management sector.
- Benefits: Fully remote work, competitive pay, and long-term contract opportunities.
- Why this job: Make a real impact by solving complex data challenges in a fast-paced environment.
- Qualifications: 10+ years in asset management operations with strong Python and SQL skills.
- Other info: Opportunity to lead projects and collaborate with expert teams.
The predicted salary is between 43200 - 78000 £ 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.
- Domain knowledge (min 10 years): Have worked within the operations team for an asset management department and understands assets data, like financial securities, trading data.
- Investment & Financial: Experience with investment-related projects or working in the reinsurance or life insurance domain.
- 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.
- Leadership: Make decisions on data warehouse, self starter, lead a team.
- Communication: Excellent senior stakeholder, articulate, presenting & engagement skills.
- Familiarity with Databricks.
- Cloud Platform: Building on Azure / GCP.
- Fully Remote.
- Outside IR35.
- Long term contract.
- £600-£650/day.
Senior Analytics Engineer (Python, SQL, Asset Management) 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)
✨Tip Number 1
Network like a pro! Reach out to your connections in the asset management and analytics space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This is your chance to demonstrate how you’ve tackled complex data challenges and delivered actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to articulate your thought process clearly, especially when discussing your experience with financial securities and data manipulation.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our high-performing teams. It’s the best way to get noticed!
We think you need these skills to ace Senior Analytics Engineer (Python, SQL, Asset Management)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and any relevant data libraries. 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 experience in asset management and how it relates to the responsibilities listed. We love seeing candidates who take the time to connect their background with our needs.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your achievements and skills. We appreciate a well-structured application that gets straight to the point!
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 Inside Out
Make sure you’re well-versed in Python, SQL, and any relevant data libraries like Pandas and NumPy. Be ready to discuss specific projects where you've used these tools to solve complex data challenges, especially in the asset management or reinsurance domains.
✨Showcase Your Financial Acumen
Since this role involves working with financial securities and trading data, brush up on your knowledge of investment-related projects. Be prepared to explain how your experience aligns with the financial services sector and how you can provide actionable insights.
✨Demonstrate Leadership Skills
This position requires a self-starter who can lead a team. Think of examples where you’ve made decisions on data warehousing or led a project. Highlight your ability to communicate effectively with senior stakeholders and how you’ve translated client needs into successful data solutions.
✨Prepare for a Fast-Paced Environment
Given the agile nature of the role, be ready to discuss how you handle pressure and adapt to changing priorities. Share experiences that showcase your ability to thrive in high-pressure situations while delivering quality results.
