FinTech Data Analyst: SQL, Python & Data Quality Insights

Hunter Bond; Greater London; On-site; GBP 65,000 - 100,000; Full time

Job summary

Elite FinTech in London is seeking a Data Analyst to join their data team. You will play a key role in data-related activities for datasets used by Quants and Traders.

The role requires strong SQL and Python skills (PySpark, Pandas, Jupyter Notebooks), plus experience with Airflow, Linux/Bash, and data-quality practices. You will collaborate with stakeholders and help improve data pipelines.

Qualifications

• 3+ years as Data Analyst, preferably in FinTech or financial services.
• Exposure to derivatives or other financial instruments is a plus.
• Strong SQL and Python skills are essential.
• Experience with workflow management tools such as Airflow.
• Git version control experience is required.
• Exposure to Parquet or HDF5 a plus; Linux/Bash skills desirable.

Responsibilities

• Play a key role in data-related activities for datasets used by quants and traders.
• Collaborate with stakeholders across multiple departments.
• Investigate complex issues and provide effective resolutions.
• Assure data acuity and data quality across pipelines.
• Analyze wide ranges of data and provide actionable insights.
• Identify opportunities to improve data pipelines and processes.
• Contribute to a culture of continuous improvement.

Skills

SQL

Python

PySpark

Pandas

Airflow

Git

Parquet

HDF5

Linux

Bash

Jupyter Notebooks

Tools

Jupyter Notebooks

Job description

Elite FinTech in London is seeking a Data Analyst to join their data team. You will play a key role in data-related activities for datasets used by Quants and Traders.

The role requires strong SQL and Python skills (PySpark, Pandas, Jupyter Notebooks), plus experience with Airflow, Linux/Bash, and data-quality practices. You will collaborate with stakeholders and help improve data pipelines.