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Role Title: Senior Data Analyst, Data Analytics & ML
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Role Purpose
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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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Major Challenges
- To be flexible and adaptable in an environment of constantly changing priorities, challenging bureaucracy and staying true to the values and strategy of the Group. Drive embedding of new ways of working
- Working across multiple markets and business/functions with multiple delivery and business partner teams
- Defining the approach and dealing with complex requirements and unique projects – often one off initiatives
- Management and control of projects to meet exacting timescales
- Achieve sustainable saves and measurable improvements across the programme as set out in the business case
- The systems and processes involved are often highly technical in nature or require specialist knowledge to fully understand and effectively support the change programme
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Knowledge & Experience / Qualifications (For the role – not the role holder)
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Knowledge & Experience
- Some understanding of some of C&L operations and key systems
- Relationships with some C&L, Risk, GB/CMB stakeholders or can demonstrates experience from other organisation is beneficial.
- Leadership experience and experience in developing and coaching others
- Has experienced working on change programmes and leading projects / programmes
Capabilities
- Advances analytical insight
- Drives and embeds the use of integrated risk and control analytic content and capabilities within business process applications
- Prioritises the information presented to stakeholders to ensure maximum clarity and impact
- Analytics creation
- Create meaningful insights from data even when sources are highly complex, disparate and incomplete
- Develops advanced analytics for portfolio data to support business processes, insights and decision making
Qualifications and Accreditations
- Agile experience
- Evidence of self-development across a number of disciplines
- Proven track record of performance
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How you’ll grow
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