At the forefront of innovation, this pioneering financial technology company utilises big data and AI to address pressing issues like financial crime, fraud detection, and gaining customer insights. With an elite client base, they are leading the way in defining the future of fraud prevention.
Following a successful funding round, this rapidly scaling company seeks motivated professionals to join their 600+ person global team. They are pioneering new data-driven approaches to security, risk management and compliance.
This is a chance to make a real impact on building a safer financial system while propelling your career growth at one of the most innovative companies disrupting the space using advanced data analytics and AI. Don’t miss this opportunity to work on cutting-edge solutions aimed at securing the integrity of the financial sector.
Opportunity:
We have an exciting role for a big data specialist to develop and deploy technical solutions to fight financial crime and fraud. You will employ advanced analytics approaches such as network analysis, utilising open-source tools like Spark and Scala.
In this position, you will help construct the next wave of AI-powered systems for fraud prevention and risk management, to be used by leading financial organisations and government agencies. If you are passionate about leveraging data skills to create positive change, this is the role for you.
You’ll be at the forefront of innovation, creating data-driven systems aimed at securing the integrity of the financial sector. This is a chance to apply your technical capabilities to build sophisticated solutions that combat fraud and financial crime.
Who You Are:
- Highly determined individual driven by outcomes with a passion for big data engineering
- Object-oriented programming expertise (Scala, Python or Java)
- Demonstrated ability to rapidly pick up new technologies and excel in fast-paced settings
Qualifications:
- 3+ years of object-oriented programming (Scala, Python or Java)
- Reputable university degree in a technical discipline
- Experience with big data tools like Spark or Hadoop ideal
Job Owner: p.horlock-brown
