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- Tasks: Analyse complex data and provide insights for financial services clients.
- Company: Dynamic start-up focused on innovative solutions in the financial sector.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a high-performing team and make a real impact in the reinsurance domain.
- Qualifications: 10+ years in asset management, strong SQL and Python skills required.
- Other info: Fast-paced environment with leadership opportunities and a focus on collaboration.
The predicted salary is between 36000 - 60000 £ 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 environment.
Must Have:
- 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.
Senior Analytics Engineer employer: Toucanberry Tech
Contact Detail:
Toucanberry Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Analytics Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and how you tackle complex data challenges.
✨Tip Number 3
Prepare for interviews by brushing up on your domain knowledge. Be ready to discuss your experience with financial securities and trading data, as well as how you've used data to inform key decisions in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your data analysis skills and experience with Python, SQL, and DBT 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 experience in the reinsurance or financial services domain and how it aligns with what we do at StudySmarter. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Show us you can communicate effectively!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Toucanberry Tech
✨Know Your Data Tools
Make sure you brush up on your Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects to manipulate and analyse data, as this will show your hands-on experience.
✨Understand the Financial Landscape
Since this role is heavily focused on financial services, it’s crucial to have a solid grasp of investment-related concepts and the reinsurance domain. Prepare to talk about your previous experiences in asset management and how they relate to the job at hand.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've tackled complex data challenges. Highlight your approach to data mapping and analysis projects, and how your insights have informed key business decisions.
✨Demonstrate Leadership Qualities
This role requires a self-starter who can lead a team. Think of instances where you've taken the initiative or led a project, and be ready to share how you made decisions regarding data warehousing and team collaboration.
