Quantitative Developer/data Scientist - London, United Kingdom - eFinancialCareers

eFinancialCareers

Verified Company

London, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Adaptability and a growth-mindset are crucial for every member of the team and an ability to critically analyse the right languages, tools, services and products on the market for the task at hand.

A flat hierarchy means everybody's opinions are equallyimportant and we will look to you for strong input on all things relating to code optimisation and expect you to form the bridge between the Engineering and Quant teams.

Principal Responsibilities:

Work with quantitative researchers to operationalise (CI/CD integration), optimise (speed & memory) and manage (i.e. configurations, code profiling) quant packages
Support quant researchers with implementing extensive unit tests for their quant libraries
Build and maintain data pipelines in a number of development environments
Develop tools to support portfolio management & quantitative research
Implement monitoring and alerting for new and existing pipelines
Investigate and resolve operational problems, which may involve bugs/performance issues across the full stack (i.e. task scheduling, monitoring, script code and operational systems)

Essential Knowledge, Skills, Qualifications and Experience:

Extensive experience of Azure services, PySpark, Databricks and other big data tools and Python extensions for code optimisation (eg. Cython)
Experience with task orchestration tools like Airflow and developing optimised ETLs
Solid knowledge of software development best practices and creating userfriendly solutions
Experience building and maintaining CI/CD pipelines
Handson experience with SQL relational databases and modern data storage solutions (Datalake, nonSQL databases etc.)

Desired: