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Quant Developer, Data Scientist, R / Python Developer (German speaking)

Avanda Solutions

IT Services and IT Consulting · 51-200 employees

Yesterday
Remote python Senior (5-10 yrs) Contractor
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About the role

The role involves leading the migration of an R-Framework to the cloud and optimizing integration with REST APIs and JSON structures. Additionally, the developer will drive large-scale data reconciliation and support the Risk department in streamlining deployment pipelines.

What they look for

R Python Quantitative Development Data Science Cloud Migration REST API JSON Git Github Actions Azure DevOps CI/CD Relational Databases Linux Docker Data Reconciliation Risk Management

Requirements

Candidates must have strong experience as a Quantitative Developer and Data Scientist with proficiency in Python, R, and cloud environments. Experience with CI/CD tools such as Git, GitHub Actions, and Azure DevOps is required.

Full description

This is a remote position.

Our client Risk department is now looking for a Senior Quantitative Developer – R, Python, Cloud Migration & Risk Systems

We are looking for an individual capable of working autonomously while drawing on insights and guidance from other team members.

Tasks:

· Act as R expert and tech lead to support the migration of the R-Framework, including all packages, interfaces, and dependencies, ensuring a smooth transition with minimal disruption to business operations.

· Drive the reconciliation of large datasets, such as market data, between different Apps, ensuring the highest standards of data quality, integrity, and accuracy throughout the migration process.

· Lead the adaptation of the R-Framework to fully leverage the new REST API and JSON structures, enhancing integration, functionality, and performance

· Support with the Risk department to streamline and optimize their development and deployment pipelines, ensuring seamless code management and deployment from Git repositories to client Applications for improved efficiency and agility.

· Guide and advise the Risk department on adopting best practices for R development in the cloud, while leveraging the Risk R-framework to achieve state-of-the-art code quality and performance.

Requirements

Required Strong Skillset

· Experience as Quant Developer and Data Scientist.

· Development experience in Python, R, relational databases and cloud environment.

· Experience with CI/CD using Git and Github actions and Azure DevOps.

Additional skills that would be considered as plus

Experience with Linux and Docker

Experience with managing, processing, reconciling and testing large data sets

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