Requirements
- BSc/MSc in Mathematics, Physics, Computer Science, Computer Engineering or other Natural Sciences from an accredited institution.
- Hands-on experience at least in any of the following (with descending significance): Data assurance/quality, Automation of QA processes, Software testing, Credit risk models, Risk Analytics
- Strong analytical and problem-solving skills with a strong attention to detail.
- Passion for learning, exploring, and testing machine learning models and AI algorithms.
- Ability to succinctly report status and results.
- Familiar with Linux.
- Experience with tools such Microsoft Excel.
Nice to Have
- Hands-on experience of big data processing and analytics.
- Hands-on experience of data bases (SQL and NoSQL).
- Creative skills.
- Programming skills.
- Hands-on experience of Spark, Python (secondarily Java, MATLAB, R).
- Hands-on experience of Grafana or any other Data Visualization Tool.
- Hands-on Experience of Automation Tools e.g. Jenkins.
- Experience in working with secure code development guidelines and coding practices (i.e. OWASP, NIST)
Additional Information
- Communicates effectively in English in written and verbal form
- Self-motivated, self-directed, resourceful and in possession of a high level of personal initiative
- Ability to hit tight deadlines and work under pressure and strict attention to detail
