Quantitative Developer/data Scientist - London, United Kingdom - eFinancialCareers
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:
- Knowledge of container services and tools like Docker and Kubernetes
- Experience working with quantitative researchers and understanding of finance
- Knowledge of API solutions (eg. REST)
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