Data & AI Ethics Analyst
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Position Overview & Specifications
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
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Banking & Lending
Based on transatlantic hiring benchmarks for Data & AI Ethics Analyst roles across Lloyds Banking Group's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Banking & Lending.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £61,176 - £76,470 bracket, including retirement vesting and health parity.
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