Position Overview & Specifications
End Date
Friday 10 February 2023
Salary Range
£61,176 - £76,470
Agile Working Options Flexible / Variable Hours, Other Agile Working Arrangements / Open to Discussion Job Description Summary To support, advise and participate in Squads to create Ethics technologies and processes. Job Description As the UK's largest Digital, Retail and Commercial bank we realise that our data is a significant business differentiator and plays a pivotal role in achieving our sustainable growth ambitions. We're looking to further adopt sophisticated approaches to how we utilise data to interact with and service our customers backed with a £3bn investment programme. And our Chief Data & Analytics Office (CDAO) is critical in embedding these new capabilities across the Group - supporting with delivering today and preparing us for the future. Location: London - Hybrid working 2 days per week and the rest from home. *** The base salary banding for this role is in London and £61,911 - £75,669 outside of London, depending on experience - plus the benefits *** Where does the role sit? We’re the Chief Data & Analytics Office (CDAO) within Lloyds Banking Group! Our mission is to promote, embed and commercialise Data & Analytics practice and culture across our business. Implement data and artificial intelligence, ethic controls for Lloyd’s banking group. What exactly would you focus on as a Data & AI Ethics Analyst You’ll support the growth of LBG data capability. As part of the team, you’ll help mitigate risk and aid smooth transition to realise our data driven vision, as we transform the bank in a safe way. You’ll be designing and building ethical workflows, technology and governance processes to ensure manage and control for ethical risks. Working collaboratively to mentor, support, and challenge on Data risk related matters and together we make it possible! In this role your key responsibilities will include:
Agile Working Options Flexible / Variable Hours, Other Agile Working Arrangements / Open to Discussion Job Description Summary To support, advise and participate in Squads to create Ethics technologies and processes. Job Description As the UK's largest Digital, Retail and Commercial bank we realise that our data is a significant business differentiator and plays a pivotal role in achieving our sustainable growth ambitions. We're looking to further adopt sophisticated approaches to how we utilise data to interact with and service our customers backed with a £3bn investment programme. And our Chief Data & Analytics Office (CDAO) is critical in embedding these new capabilities across the Group - supporting with delivering today and preparing us for the future. Location: London - Hybrid working 2 days per week and the rest from home. *** The base salary banding for this role is in London and £61,911 - £75,669 outside of London, depending on experience - plus the benefits *** Where does the role sit? We’re the Chief Data & Analytics Office (CDAO) within Lloyds Banking Group! Our mission is to promote, embed and commercialise Data & Analytics practice and culture across our business. Implement data and artificial intelligence, ethic controls for Lloyd’s banking group. What exactly would you focus on as a Data & AI Ethics Analyst You’ll support the growth of LBG data capability. As part of the team, you’ll help mitigate risk and aid smooth transition to realise our data driven vision, as we transform the bank in a safe way. You’ll be designing and building ethical workflows, technology and governance processes to ensure manage and control for ethical risks. Working collaboratively to mentor, support, and challenge on Data risk related matters and together we make it possible! In this role your key responsibilities will include:
- Implementing Ethics-as-a-Service within LBG across all divisions
- Extending our Ethical Impact Assessment and our Data Science Life-cycle
- Advising Business teams on recommended controls for ethics
- Implementation of ML Ops best practice on collaboration with Data Scientists
- Causal reasoning and Counterfactual fairness
- Shapley and LIME approaches to Explainability
- Pareto optimisation
- Model cards and their application
- Human-centered design and UX skills
- statistical measures of fairness and their relationship with socio-technical concerns
- Some development skills preferred in using ML toolkits (e.g. Jupyter, scikit-learn, Pandas, PyTorch, Tensorflow/Keras), as well as fairness toolkits (e.g. VertexAI, IBM AIF360 etc)
- Preferably from a Banking/Finance background, having worked alongside, Risk Control and/or Risk Model Validation teams