The Company:
A pioneering FinTech scaleup renowned for its expertise in combating fraud and financial crime. Despite its brief tenure of less than a decade, it has earned widespread acclaim within the industry for its top-tier services. This has fuelled a rapid expansion, propelling the company to a workforce of over 600 individuals in just six years. With a substantial injection of over $150 million in series E funding, they are currently poised to further augment their team.
The company was established by seasoned executives from a global consultancy, who have adeptly recruited some of the most proficient data specialists in the field. Consequently, the company maintains an exceptionally high standard, both technically and in terms of consulting prowess.
The Role:
You will be joining the esteemed flagship R&D team of the company, currently comprised of around 100 highly reputable professionals within the industry. The team offers unparalleled in-house training under the guidance of some of the most skilled data engineers, enabling you to gain expertise in the field. This role provides an opportunity to delve into 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 activities.
- Utilising a diverse range of programming languages, big data tools, and cloud platforms.
Essential Skills:
- Technical degree or equivalent from a reputable university
- Experience with object orientated programming, preferably Scala, Java or Python
- A strong communicator with experience managing stakeholders at all levels
Nice To Have:
- Commercial expertise in the domain of fraud and financial crime
- Commercial expertise in the domain of financial services
- Commercial experience with cloud tools such as GCP, Azure or AWS
- Any experience with the Scala coding language would be a huge plus
Job Owner: m.ibrahim
