{"id":4294719,"url":"https://alion.io/job/lloyds-banking-group-associate-director-quantitative-analytics","title":"Associate Director, Quantitative Analytics","company":{"id":449907,"name":"Lloyds Banking Group","domain":"lloydsbankinggroup.com","url":"https://alion.io/company/lloyds-banking-group","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0.222,"time_to_fill_p50_days":15,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":95418,"max":106020,"currency":"GBP","period":"year","gross":null,"usd_annual":140015},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T00:41:41Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"End Date\nThursday 12 November 2026Salary Range\n£95,418 - £106,020We support flexible working - click here for more information on flexible working options\nFlexible Working Options\nHybrid Working, Job ShareJob Description Summary\n.Job Description\nJOB TITLE: Associate Director, Quantitative Analytics\nLOCATIONS: London\nHOURS: Full-Time\nWORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.\nAbout the role\nWe are looking for an experienced quantitative professional with strong Python and analytical skills to lead the development of pricing, credit-risk and portfolio-management solutions across Business and Commercial Banking. You will combine quantitative modelling with modern software-development practices, translating complex analysis into scalable tools that support commercial decision-making and sustainable client returns.\nBased within Balance Sheet Management, Forecasting & Pricing, you will help shape the methodologies, data and tools used by Client Products, Commercial Banking and Client and Institutional Banking. The role offers significant ownership, close engagement with senior stakeholders and the opportunity to modernise quantitative analytics through Python, automation and advanced statistical techniques.\nWhat you’ll be responsible for\nOwn the methodology and lead the software implementation of Return on Risk Adjusted Capital models supporting the origination and pricing of commercial lending products.\nBuild production-quality solutions for loan pricing, portfolio management, capital allocation, forecasting and credit-risk analytics.\nDevelop reusable, well-documented and tested analytical code, applying version control, peer review and robust model-development standards.\nUse Python, C#, and SQL to work with large datasets, automate analytical processes and improve the efficiency and control of existing tools.\nLead the application of advanced statistical and machine-learning techniques to identify growth opportunities, support client acquisition and deepen client relationships.\nPartner with Portfolio Management, Product and business teams to develop pricing frameworks, governance processes and regular pricing refreshes.\nAct as a quantitative adviser to business stakeholders, agreeing priorities, communicating methodology clearly and maintaining delivery momentum.\nResearch emerging techniques and technologies, translating relevant innovation and industry practice into practical improvements for BCB pricing and analytics.\nWhat you’ll need\nou will bring a strong quantitative background, sound commercial judgement and the confidence to lead technical work from initial concept through to implementation. You will be comfortable working across modelling, coding and stakeholder engagement, and able to explain complex topics in a clear, practical way.\nEssential skills and experience\nA postgraduate qualification, or equivalent experience, in mathematics, statistics, physics, quantitative finance or another highly quantitative discipline.\nIdeally at least 4 years of relevant experience in banking, financial services or a closely related quantitative environment.\nExperience developing quantitative models for commercial loan pricing, credit portfolio management, capital allocation, including Risk Weighted Assets and Economic Capital, or risk-adjusted returns.\nStrong hands-on Python skills, including experience developing, testing and maintaining quantitative models using libraries such as pandas, NumPy, SciPy, scikit-learn or statsmodels.\nExperience writing modular, reusable and well-documented code, with a practical understanding of object-oriented programming.\nWorking knowledge of SQL and experience preparing, joining and analysing large datasets.\nStrong mathematical, statistical and analytical capability, with the ability to select and challenge appropriate methodologies.\nExcellent communication and stakeholder-management skills, including the ability to present complex technical analysis to senior and non-technical audiences.\nKnowledge of banking products, capital, credit risk and relevant regulatory or rating-agency methodologies.\nDesirable skills and experience\nExperience with other programming languages, such as C#, is helpful.\nPractical use of machine learning, forecasting or optimisation techniques in a financial context.\nExperience with multi-factor correlation models, portfolio optimisation or credit-risk model validation.\nFamiliarity with Git or another version-control platform, automated testing, code review and continuous-integration practices.\nExperience deploying analytical solutions in a cloud environment or integrating models into business applications.\nThis is a place for you\nOur ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop.\nWe were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.\nWe offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.\nWe provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.\nReady to make an impact? Apply today.\nAt Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.\nWe keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.\nWe're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. 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