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Senior Analytics Engineer (Python, SQL, Asset Management) at Toucanberry Tech

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

600.0

Posted On

27 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Analysis, Data Manipulation, Financial Acumen, Data Mapping, Azure, Pandas, NumPy, Investment, Reinsurance, Stakeholder Engagement, Leadership, Communication, Databricks, DBT

Industry

Software Development

Description

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 (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. Python: Experience in libraries like Pandas and NumPy. Cloud Platform: Building on Azure Education: Degree within investments/accounting/actuarial fields from a UK based university. Leadership: Make decisions on data warehouse, self starter, lead a team Communication: Excellent senior stakeholder, articulate, presenting & engagement skills. Nice-to-Haves: Familiarity with Databricks DBT experience Fully Remote Outside IR35 Long term contract £600/day

Responsibilities

Perform complex data manipulation and analysis to support senior business experts and stakeholders. Utilize Python and its data libraries to handle large datasets and automate analytical tasks.