Data Engineers (GCP)

We’re Hiring: Data Analyst (GCP) – Trading & Risk Insights

📍 UK / EU (Hybrid or On-site)
🕒 Full-time

About the Role

We’re partnering with a leading consulting-led organisation supporting global clients across financial services and digital transformation. With a strong presence across multiple countries, this organisation works at the intersection of strategy, technology, and data to drive meaningful business outcomes.

As part of a growing data function, they are looking for a Data Analyst to support trading and risk teams with actionable insights derived from complex financial datasets.

What You’ll Be Doing

• Analyse large-scale financial and market datasets to support trading, risk, and compliance teams

• Build dashboards and reporting solutions using tools like Tableau, Power BI, or Looker

• Write advanced SQL queries across cloud and on-prem databases (e.g. BigQuery, Redshift, Athena, Oracle)

• Partner with stakeholders (traders, risk, compliance) to uncover insights on trade behaviour, exposure, and anomalies

• Work in Agile teams to continuously improve reporting and data models

• Ensure data quality, consistency, and integrity across multiple systems

What We’re Looking For

• Strong SQL skills across modern data platforms

• Experience with BI and data visualisation tools (Tableau, Power BI, Looker, etc.)

• Understanding of financial instruments (e.g. equities, derivatives, FX)

• Exposure to cloud environments (AWS, GCP)

• Basic programming experience (Python or R is a plus)

• Strong communication skills and ability to work with non-technical stakeholders

• Experience working in Agile environments (Scrum or Kanban)

Nice to Have

• Familiarity with market data providers (e.g. Bloomberg, Refinitiv)

• Experience in regulatory or risk reporting (e.g. MiFID II, EMIR)

Why Apply?

• Work on high-impact projects within trading and risk

• Collaborate with experienced professionals across data and financial services

• Exposure to modern cloud data platforms and tools

• Flexible working options (hybrid/on-site)