Overview

You’ll be embedded within a high-performing team supporting senior business experts in the financial domain. This is a hands-on data engineering position focused on solving complex data challenges beyond the limitations of Excel. You’ll be working with Python, SQL, and GCP (BigQuery) to manipulate large datasets and deliver actionable insights.

Location: London (Hybrid)

Responsibilities

• Perform advanced data manipulation and analysis to support stakeholders.
• Use Python (Pandas, NumPy) to automate and streamline analytical workflows.
• Design and execute robust data mapping and transformation pipelines.
• Collaborate with cross-functional teams to translate business needs into technical solutions.

Ideal Candidate Profile

• Domain Expertise: Experience in asset management, investments, or reinsurance within the last 2 years.
• Technical Skills:
• Python: Strong experience with data libraries (Pandas, NumPy).
• SQL: Proficient in querying and manipulating data.
• GCP / BigQuery: Experience building on Google Cloud Platform.
• Education: Degree in investments, accounting, or actuarial science.

Nice-to-Haves

• Familiarity with dbt or Databricks.
• Experience with life insurance or investment-related projects.

Interview Process

• Stage 1: 30-minute screening call.
• Stage 2: 1-hour technical interview.

Reference

AMC/JWH/TDCE1

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting