Data Scientist
| Company | Barclays |
|---|---|
| Location | New York, NY, USA, Wilmington, DE, USA |
| Salary | $65000 – $105000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- Coding using Python
- Machine learning algorithms and predictive model development
- Distributed computing frameworks like Spark/PySpark
- Version control systems like Git/Gitlab/Bitbucket
- Cloud platforms like AWS or Azure
Responsibilities
- Design analytics and modelling solutions to complex business problems using domain expertise.
- Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
- Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
- Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
- Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
- Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
- Ensure all development activities are undertaken within the defined control environment.
Preferred Qualifications
- DevOps pipelines and CI/CD tools like TeamCity, Jenkins
- Project management using Jira
- Domain experience in fraud detection and financial crime
- Understanding of model risk management practices with financial services