Senior Risk Data Scientist role provides wide spectrum of technical and business support to FRMC team members in regard to data (governance, accuracy, accesibility), complex analysis, development of reports, risk/control data governance and technical support for risk related processes.
This role is highly independent and in most of the cases decisions are taken within the role without approvals from higher levels. As very independent, this role will have to take the final decision, find the best solution that complies with GSK policy, implement it and communicate it to high level stakeholders. The same applies to new solutions, new technology and use of new systems.
This role must drive the use of technology to mitigate risks more effectively or improve controls and ensure team members also embrace technology to find solutions.
In particular, Senior Risk Data Scientist will:
- Design and develop analytical solutions to understand risks across key business areas/processes
- Maintain technical environments (Data Bricks, ADF, Power BI, Workspaces, MS SQL, GitHub, Apps Services, Python code, VBS code)
- Use SAP, Blackline, ARIBA as primary sources for financial/risk/controlling data (expert knowledge in at least SAP t-codes, relations and data model is a must).
- Create and maintain solutions based on available software
- Create and maintain data repository containg SAP, Blackline, ServiceNow data for Ad-hoc reporting
- Acts as a liason between Tech teams and FRMC business users
- Develop, deploy and maintain new technology concepts (Machine Learning, Python libraries)
- Translates business language into comprehensive digital solutions and communicate technical aspects to business users.
- Partner and guide Risk Managers with their digital solutions, use of data, analysis and creation of POC.
- Perform data analytics on data retrieves obtained from the Enterprise Resource Planning (ERP) organisation and build out standard reports that can then be used for handover to Continuous Control Monitoring to operational staff
- Develop relationships with ERP teams and other Tech/business teams to ensure successful data mining and analytics activities are conducted regularly
- Partner with the Process Operations teams globally as well as Global Process Owners (GPOs) to identify stakeholder needs and report trends in process gaps, process risks with a view to create positive risk management impact
- Proactively engage Process Operations teams/GPOs to identify opportunities to leverage technology and analytics in connection with driving simplification and efficiency across processes
- Participate in internal and external benchmarking exercises
- Maintain a detailed understanding of the underlying service landscape and the tools/platforms used to generate metrics and performance data
- Participates on cross-functional and matrixed projects to reduce risk and/or implement new or enhanced controls related to key processes or systems
- The role combines technical knowledge and expertise (hands-on), and business knowledge from Accounting, Finance and Controlling areas.