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Data Analyst - Python NumPy Pandas

Job Title: Data Analyst - Python NumPy Pandas
Contract Type: Permanent
Location: London, England
Salary: £90000 - £130000 per annum + bonus + benefits
REF: BB/16149/A/KS/030321_1614789402
Contact Name: Data Team
Contact Email:
Job Published: 11 months ago

Job Description

Data Analyst (Python NumPy Pandas). Do you have expertise with Data Analysis combined with strong Python coding skills? You could be earning significant bonuses at a massively successful tech driven prop trading company.

As a Data Analyst you will join a small, accomplished team responsible for the delivery of reliable, timely and accurate data and visualisations for the trading and research teams. You'll be working on complex data pipelines that handle terabytes of exchange traffic, performing numerous transformations in real-time and will be instrumental in building a new Data Lake which presents a significant challenge due to the volume and number of data sets in use.

The company is enjoying great success and growing as a result; you'll be able to quickly progress your career; taking ownership and providing technical leadership.

Driven by technology the company is able to offer a remote interview / onboarding process and work from home during the current social distancing measures with a gradual return to the plush, City based offices in due course with some continued flexibility going forward.

*You've worked with large data sets in an analyst role - could be quantitative or data science background
*You have used Python extensively and have experience with Pandas and NumPy
*You're familiar with Containerisation (e.g. Docker, Kubernetes, Serverless)
*You're degree educated, minimum 2.1 - Computer Science or similar; with the aptitude and desire to learn and pick things up quickly
*You're collaborative and have great communication skills

As a Data Analyst you will earn a competitive salary (to £130k) plus significant bonus and benefits.

Apply now or call to find out more about this Data Analyst opportunity.