This rapidly growing financial technology startup is leveraging big data and artificial intelligence through its decision intelligence platform to tackle pressing problems like financial crime, gaining customer insights, and fraud detection.
As pioneers in the field, they utilise data to build cutting-edge solutions that empower individuals and organisations to make improved financial choices. Their goal is to harness the power of data analytics to provide innovative financial products that have a genuine and positive impact on people’s lives.
Opportunity:
You will join their premier R&D team of top minds building innovative solutions to fight financial crime. They provide exceptional in-house training and exposure to cutting-edge tech. This role empowers you to positively impact the world and define the future of crime prevention.
Your Contributions:
- Create tools and streamlined pipelines to boost project quality and efficiency
- Construct big data processing and ETL pipelines for seamless data ingestion
- Identify and link related entities through extraction and resolution techniques
- Employ various programming languages, big data tools and cloud platforms to develop and launch new solutions
Who You Are:
- Ambitious self-starter who excels in fast-paced settings
- Quick learner of new technologies
Qualifications:
- 5+ years of object-oriented programming with Scala, Python or Java
- Reputable university degree in a technical discipline
- Experience with big data tools like Spark or Hadoop ideal
- Background in fraud or financial crime a bonus but not essential
Job Owner: p.horlock-brown
