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Wholesale Credit & Lending (WCL) is an important contributor to the Group: it supports 80% of the revenues generated by Wholesale banking and forms a key part of the Group-wide transformation.
In 2020 we announced the formation of a WCL Transformation & Delivery organisation, bringing together credit and lending-related transformation programmes across Commercial Banking, Global Banking, Risk Transformation and Digital Business Services.
WCL Transformation & Delivery is responsible for delivering high priority programmes to simplify, digitise at scale and automate the credit and lending journey, as well as supporting the creation of a new, globally consistent credit and lending organisation serving both GB and CMB business lines which collectively build towards our vision of becoming a leader in digitally enabled domestic and cross border lending across network, by improving customer experience generating competitive advantage through use of data and participation in emerging borrowing models.
The Senior Data Analyst, Analytics & ML will develop logical data assets and transformation logic for WCL operational and analytical use cases and machine learning algorithms to support data quality assurance and insights.
Key Responsibilities
The Senior Data Analyst, Analytics & ML is typically responsible for:
- Defining and developing logical data assets
- Data analysis in the primary sources for completeness, accuracy
- Data analysis of cross-systems linkages, consistency and timing alignments
- Data analysis of the transformation logic where required
- Data analysis of the data required for the model build by GRA
- Developing transformation logic for application models, strategies, affordability and other calculations required in the lending journey
- Provide support on all areas covering trouble shooting and root cause assessment on data issues
- Consult with stakeholders to determine business problems, data requirements and to support decision making
- Develop and apply machine learning / NLP and other advanced analytics to portfolio data to support business processes, insights and decision making specifically in the areas of data remediation and improve data quality, completeness and consistency.
- Generation of data assets and analytics to support business activities, financial projects, product planning, sales activities, performance measurement, regulatory requests and decision making
- Work closely with the CDO communities across Wholesale, Risk, Finance and FCR to ensure the unified data model is fit for purpose for the WCL data demands
Customers / Stakeholders
Primary customers are:
- Business lines – GBM & CMB
- Functional Teams – e.g. Risk, Group Finance
- Operational support teams
- Group & Regional teams
- Other Risk sub-functions – global and regional
The role holder will work with senior management and programme sponsors to recommend approaches to based on data insights and translate complex data insights into actionable intelligence.
Other stakeholders on projects will include (as demanded by specific project need):
- CDAO
- Other IT delivery functions
- Other Transformation functions
- Regulatory authorities
- Other service delivery functions
- Data service providers
- Software, data and service vendors
The role holder will interact equally with senior stakeholder groups and line staff as necessary. Governance should be in accordance with Group standards policy and procedures.
Leadership & Teamwork
- Promotes a collaborative environment amongst the team with focus on development
- Driving and encouraging constructive cross-country and cross-business teamwork through collaboration and matrix management
- Trusted by colleagues and costumers to make balanced, fair decisions
- Proven ability to motivate people to go above & beyond
- Contribute to an environment of continuous performance improvement.
- Building an inclusive culture where diversity of thought and different perspectives are equally valued
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