Director - Data Engineering/Risk & Surveillance - IT

Requirement:

- We are looking for an expert with deep expertise in data Engineering, Data Analytics, Java, and Machine Learning.

- Must have understanding of financial Surveillance and Risk Technology.

Should be able to build large-scale data processing systems by using the latest database and data processing technologies.

- Principal Responsibilities Design local modifications to our global data architecture, including new tools and technologies where necessary to meet regional use-cases. Provide direction to the development of bespoke, client-specific data sandboxes. Create and maintain optimal data pipeline architecture(s),

- Develop custom-built packages to support the needs of Data Scientists across the region

- Work with broader business stakeholders to assist clients and consultants with their data and infrastructure needs

- Deep knowledge of distributed data architecture, commonly-used ETL tools, BI tools, and approaches/packages deployed for machine learning build

- Experience creating production software/systems in Java or Python and/or Scala, and a proven track record of identifying and resolving performance bottlenecks for production systems

- Experience in machine learning algorithm design, feature engineering, validation, prediction, recommendation, and measurement.

- Experience with complex, high volume, multi-dimensional data, as well as machine learning AND Data analytics models based on unstructured, structured, and streaming datasets

- Demonstrated ability to incorporate new techniques to solve business problems Demonstrated resource planning and delivery skills

- Experience in developing production systems, with software engineering governance practices in place e.g, unit testing frameworks, CI/CD and scheduling technologies

Good business acumen with a track record in solving business problems through data-driven quantitative methodologies.

- Technical Expertise Post Graduate Degree in Information Technology, Qualification in Computer Science or Engineering ideal. Certification in Hadoop (Cloudera or Hortonworks) and Apache Spark.