Data Scientist/Engineer

SWIFT

London or Brussels

About the Role

Would you like to work for one of the leading players in the international financial services industry? Are you a creative and logical thinker?

Join Swift and be part of the Swift "Data Center of Expertise" team, in charge of defining, prototyping, tuning and evaluating solutions. You will be working with initial focus on anomaly detection, sanctions screening or data related initiatives to support the various business functions.

The Swift "Data & Services" offerings are changing the way that banks tackle regulatory compliance and financial crime prevention through new cloud based solutions and services that put businesses in control, improve performance and reduce operational cost.

Joining as a Data Scientist/Engineer will get the opportunity to learn from professionals with extensive experience in data analytics and financial crime compliance projects at global banks and financial institutions.

Responsibilities

We are looking for creative people with strong logical, technical and analytical skills capable of prototyping and refining advanced data driven solutions by leveraging data science/engineering and artificial Intelligence/machine learning techniques. The role would suit someone with a mathematical, data science, computer science background or similar. We are looking for an individual to contribute to the data science/engineering approach required for the project and support the software realization.

In addition to technical and analytical skills, the candidate must have sufficient business awareness to ensure solutions and proposed designs can be developed, deployed and used effectively and efficiently.

Using a data driven approach to solve business problems innovatively
Develop artificial intelligence/machine learning capabilities
Hands on prototyping and tuning of candidate solutions
Assisting the development team with implementation of these solutions
Working in collaboration with software developers using your IT development/software engineering skills
Data manipulation, data analysis and statistics
Programming experience in Python
Learning new data analysis tools and scripting languages

Qualification

Conceptual Thinking
Business Requirements Elicitation
Engineering Practices
Strong Communications Skills
Stakeholder Management
Continuous Improvement
Analytical Thinking

In addition, the following would be beneficial:

Market & Product Knowledge - Knowledge of Swift messaging, Anomaly detection, financial crime or sanctions screening solutions
Artificial Intelligence/Machine learning knowledge
Git, Jira, Confluence, UNIX