Data Analyst - FinTech - £65,000-£100,000 + Bonus

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

Job summary

A leading Financial Technology firm in London seeks an experienced Data Analyst. The successful candidate will engage in data-related activities, resolve complex issues, and enhance data quality across various datasets. Applicants should have over 3 years of experience in data analysis, particularly in FinTech or Financial Services, with strong skills in SQL and Python. Exposure to financial instruments is advantageous. Competitive salary offered up to £100,000 with bonus opportunities.

Qualifications

• 3+ years working as a Data Analyst, ideally within FinTech or Financial Services.
• Strong SQL experience.
• Strong Python experience (PySpark, Pandas, Jupyter Notebooks etc.).
• Airflow / Algo for workflow management.

Responsibilities

• Playing a key role in all Data related activities for a wide range of datasets, used by Quants and Traders.
• Working closely with Stakeholders across a range of departments.
• Investigating complex issues and providing resolutions.
• Assuring Data acuity.
• Analyzing wide ranges of Data and providing insight.

Skills

SQL

Python

PySpark

Airflow

Linux

Job description

Overview

Job title: Data Analyst

Client: Elite FinTech

Salary: £65,000-£100,000 + Bonus

Location: London

Skills: SQL, Python, PySpark, Airflow, Linux

The role:

My client are looking for a Data Analyst to join their team.

Responsibilities

• Playing a key role in all Data related activities for a wide range of datasets, used by Quants and Traders
• Working closely with Stakeholders across a range of departments
• Investigating complex issues and providing resolutions
• Assuring Data acuity
• Analysing wide ranges of Data and providing insight
• Using different data quality indices
• Recommending improvements within data pipelines to increase data acuity
• Identifying opportunities for improvement generally with a continuous improvement mindset

Core skills required / Qualifications

• 3+ years working as a Data Analyst, ideally within FinTech or Financial Services
• Exposure to Derivatives or other Financial instruments
• Strong SQL experience
• Strong Python experience (PySpark, Pandas, Jupyter Notebooks etc.)
• Airflow / Algo for workflow management
• Git
• Any exposure to compressed file formats such as Parquet or HDF5 highly advantageous
• Linux / Bash skills highly desirable

Please apply ASAP for more information.