Job Purpose
The role will require the incumbent to gain a good understanding of the entire clearing lifecycle from pre-trade preparations to post trade management, nuances of Risk and Treasury management, and familiarity with the data underpinning these processes.
There will also be an expectation to assist with responses to ad-hoc questions and requests from internal and external stakeholders. Some of these requests will be complex and urgent in nature, which will require an ability to work under pressure, rapidly analyzing data, validating and concisely communicating the responses.
Responsibilities
- Improve the quality and efficiency of Business Intelligence.
- Take ownership of deliverables and produce high quality Tableau reports to an agreed schedule.
- Analyze and perform complex transformations on high volumes of data.
- Present data and analytical conclusions in a concise manner and develop interim and production reports as business needs dictate.
- Be innovative in the display and visualisation of reports seeking to improve their use, effectiveness, and user experience.
- Business requirement definition, Functional designs for Tableau reports and Dashboards, test design, planning and execution are key aspects of the role.
- Provide Technical assistance and advice to development team for new reports in production, changes to specifications, or to assist in resolving issues in existing reports.
- Ability to integrate knowledge and reports into the production facing areas is essential so that reporting quality can be sustained.
- Liaise with business to finalize requirements, perform walkthroughs, and to assist them to comply with the team’s SDLC.
Knowledge and Experience
- Very strong Tableau skills
- Strong data analysis skills using Oracle/ SQL/ Excel i.e. ability to write or understand complex queries and models
- Strong working knowledge of ETL tools. Tableau Prep exposure preferred
- Comfortable working with Excel VBA
- A logical and analytical approach, high level of numeracy and attention to details
- Excellent interpersonal and communication skills
- Self-starter with the ability to work alone as well as part of a team
- Higher level education
Preferred
- Training in IT development methodologies, such as Agile, Waterfall
- Experience in financial industry (especially exchanges or clearing houses) or working with industry regulators
- Hands on experience working with the data feeds, interfaces, and workflows
- Experience working with Python, or other programming languages
- Exposure to Process and Data Quality improvement initiatives
