Introducing Finalyse to UK

- Created and lead model validation function for all non-IRB models, including IFRS9 (specialised lending – development property), motor, asset finance, invoicing, leasing), ICAAP, IRRBB, Financial Crime, Algo Trading, Operational Risk, and Treasury; recruited and developed the team, authored standards/procedures, set operational frameworks.- Successfully delivered 90+ validations of 35+ different models: IFRS9, Credit IRB, application scorecards, Pilar 2a operational risk, ALM, IRRBB, Financial Crime, Algo Trading, Machine Learning, ICAAP.- Performed gap analysis and implemented required changes to assure that Model Risk Management function is compliant with SS1/23 (CP6/22).- Presented regularity as senior committees attended by Bank's executives and board members. - Part of the Impairment Adequacy Committee, where I provided assurance around impairment and Post Model Adjustments adequacy to the Group Managing Finance Director, Business Risk Directors, CRO, and CCRO.- Developed of state-of-the-art model risk quantification methodology (presented at RiskMinds 2022).- Founder and strategy lead of the Gender Balance Network.- Developed validation automation tools, as well as deployed technology supporting model governance, to improve Model Risk Management function efficiency.

- Designed credit risk management solution leveraging Open Banking data for underwriting, modelling, collections, and portfolio monitoring.- Created impactful go-to-market strategy, pitch decks, and technology demo scripts.

- Led a team of 8+ quantitative analysts in driving successful business growth through lead generation, RFP responses, client pitches, sales campaigns, and partnership development with subcontractors and advisory firms.- Successfully delivered projects across credit risk modelling, model risk management, credit risk controls, and trade surveillance.- Conducted audits of the model risk framework for a prominent UK mortgage lender and the pricing framework for a leading motor leasing company in the UK.- Published thought leadership articles on machine learning model interpretability and recent regulatory developments.

- Implemented Palantir's analytical software as the primary decision-making tool for clients in Investment Banking and Aerospace industries, driving improved outcomes.- Demonstrated the value of our software through successful sales pitches and engaging demos.- Built robust data assets by integrating multiple sources within the organization, uncovering previously unknown insights.- Successfully managed deployments in diverse global locations including Singapore, Sydney, Toulouse, NYC, London, and San Francisco, optimizing client outcomes.- Identifying and Integrating multiple data sources across the whole organisation, building data assets revealing new information and insight- Worked in different locations (Singapore, Sydney, Toulouse, NYC, London, San Francisco)

- Validated multiple critical models, including first generation IFRS9, IRB, stress testing, and ICAAP.- Developed a comprehensive model validation manual and guidelines for a team of over 50 quantitative analysts.

- Analysed and assessed regulatory stress testing results to ensure compliance and mitigate potential risks.- Developed an innovative macroeconomic simulation expansion tool for internal stress testing, enhancing accuracy and efficiency.- Designed a comprehensive credit risk evaluation framework for securitized products, enabling informed decision-making in a strategic portfolio acquisition project

- Developed and reviewed AIRB models for diverse asset classes, including hedge funds, large corporates, resource-backed lending, non-banking financial institutions, sovereigns, gearing funds, and managed funds.- Created an algorithm to optimize security allocation, enhancing efficiency and accuracy in the decision-making process.- Designed and implemented an early warning model specifically tailored for the investment bank's front office, enabling timely risk identification and mitigation strategies.

- Conducted statistical analytics on extensive SQL code to identify and address efficiency bottlenecks.- Designed databases to optimize data management processes.- Optimized business processes to increase productivity and effectiveness.

- Designed and implemented predictive models in the field of CRM (churn, x-sell, up-sell, customer acquisition, segmentation, pricing) for the largest telecommunications companies in Poland and the banking sector.- Conducted customer segmentation for a portfolio of 10+ million clients.- Designed a pricing analytical solution based on an algorithm estimating simultaneously 40,000 predictive models.- Developed churn and early warning models.- Conducted geo statistics predictive modelling for direct marketing campaign planning- Conducted customer segmentation based on clients' behavioural data in terms of credit risk and clients' income.- Other responsibilities included customer acquisition, pricing, migrations, and customer value analysis.- Lead for projects including non-standard and state-of-the-art analytical solutions.

- Designed and implemented CRM tools to streamline budgeting and objective setting processes for Bank's branches, resulting in increased efficiency and accuracy.- Supported development of a SME application rating model that enhanced the bank's risk assessment capabilities, leading to more informed lending decisions and improved portfolio performance.