Exciting new start-up that works with financial institutions and government organisations to detect and prevent fraud, financial crime and non-compliance utilising bleeding edge innovations within big data and machine learning surrounded by passionate technologists.
The Role:
This position is a part of the esteemed flagship R&D team, currently comprising approximately 30 highly regarded professionals within the industry. Through unmatched in-house training provided by the company’s leading data engineers, you will have the opportunity to become an expert in the field and explore cutting-edge technologies, contributing to the advancement of technology in combating financial crime.
Responsibilities:
- Developing tools aimed at enhancing the quality and efficiency of project delivery
- Constructing big data processing and ETL (Extract, Transform, Load) pipelines.
- Engaging in entity extraction and resolution tasks
- Utilising various programming languages, big data tools, and cloud platforms
About You:
- Driven, ambitious individual who thrives in a fast paced environment
- Ability to pick up new technologies quickly
Requirements:
- Likely to have a minimum of 5 years object oriented programming experience – ideally with Scala but Python or Java also considered
- Strong technical degree (or equivalent) from a reputable university
- Big data tools such as Spark or Hadoop, are highly desirable
- Fraud and financial crime domain experience is preferable but not essential
Job Owner: m.ibrahim
