As a Senior Remediation Analytics Consultant in the team, you will work in, and support developing, a high-performance analytics team who will work collaboratively within cross-functional Remediation squads to support the timely resolution of Events
The role
Work collaboratively in cross functional Remediation Squads with non-technical people, to efficiently and effectively remediate customers impacted by Events
Be one of the pioneers of the strategic data agenda by adopting cutting edge cloud based analytics technology and collaborating with the Enterprise Data team.
Develop and embed forward-thinking, proactive approaches (e.g. predictive) to issue discovery, and have coverage for the caseload of more complex/involved events
Where necessary, come up with innovative and intuitive analytical methodologies to (a) gain insights into complex populations and (b) can triage and segment populations in rational fashion for potential testing;
Learn and consider the business requirements, governance processes and regulatory requirements regarding remediation events and help stakeholders understand data analysis assumptions, constraints, and outputs
Build, test and document calculators/models used in customer remediation events and ensure that they comply with the Model Risk Policy and maintain and leverage repository of rules, models and calculators to maximise efficiency and quality
Bring your passion for data – participate in the Enterprise Data Analytics community and work closely with Enterprise Data to improve tools, processes or documentation if it’s not right or not working
Manage the hygiene and quality of your analysis which includes documentation (e.g. processes, assumptions, risks on Wiki/Confluence/Teams), version control (e.g. GIT) and peer reviews
Actively participate in our dynamic, agile team by supporting workload planning (e.g. sprint planning, sprint reviews, using Jira), working autonomously but collaboratively and suggesting and making improvements
Risk accountability forms part of all roles, as everyone is responsible for managing risk and compliance
About you
Ideally, you will be able to demonstrate the following experience and competencies:
Knowledge of core data principles such as Data Science, Engineering, Analysis and Visualisation
Knowledge of typical data sourcing / ETL requirement gathering, planning, risks, issues, and the presentation, communication and treatment of these
Awareness of ethical and regulatory constraints in utilising various data sets
Agile Project Management including typical ceremonies and tools is highly regarded
Knowledge of Banking regulatory and compliance requirements (e.g. BCoP, NCCP, ASIC) is preferred
Strong proficiency in SQL
Coding abilities in either Python or R
Ability to navigate data warehouses and cloud environments
Data visualisation (e.g. Tableau, Qlik)
Communication skills (written and verbal)
Financial Services experience is highly regarded
Salt is acting as an Employment Agency in relation to this vacancy.