Description
Responsibilities/Tasks:
- Thought leadership with demonstrable hands on approach to analytics, and the application of data science techniques, in a Big Data environment, providing transformative proposals for the resolution of business problems.
- Support and lead the creation of models, reports and visualisation solutions providing interpretation and insight into business data and processes.
- Architect and document innovative approaches to solving business problems with data.
- Lead the documentation, evangelisation, and implementation of best practice data analytics approaches.
- Issue identification and analysis techniques, such as pattern analysis and root cause analysis, to help identify why issues occur and propose solutions.
- Escalation management of key clients and stakeholders.
- Lead teams of analysts on analytic work streams.
- Mentor and coach junior team members to develop their analytic, technology and business skillsets.
Experience/Exposure:
- 6+ years' experience of leading complex data analysis activities
- Experience working with senior stakeholders to understand business problem and develop solutions
- Expert SQL skills
- Experience with Big Data technologies (Hive, Impala, Spark)
- Experience of Data Science or Forensic Data Analysis
- Experience working in Global teams
- Experience with Agile principles and methodology
- The ability to identify issues and propose solutions
- The ability to prioritise and negotiate key deliverables.
- Experience with Python or R for data analytics
- Scala experience desirable but not essential.
- Preferably, experience in a financial domain (capital markets, transaction banking, wealth management)
- Experience working in one or more of the following domains preferable: AML, Compliance, AFC, Anti-Bribery and Corruption and Bribery and Sanctions.
Education/Certification:
- Educated at a minimum to degree level (or overseas equivalent) in a quantitative discipline
Candidate will be:
- Innovative, creative and passionate about data.
- Articulate and able to work directly with a broad range of stake holders
- A logical thinker, organised and meticulous
- Able to demonstrate examples of previous successful deliveries and a track record in providing insight and innovation through the application of data science
For more info please call Michael or email: (see below)