Nicolas Mallison
Senior Director, Quant Analytics & Data Science Practice Lead Group CIO, Risk & Controls @Deutsche Bank
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WORK HISTORY
Senior Director, Quant Analytics & Data Science Practice Lead Group CIO, Risk & Controls @Deutsche Bank
London, GB
Combine machine learning and time series encoding to develop a bank-wide innovative, predictive and evidence-based model that predicts future IT system stability and helps the bank make smarter decisions. Design, build and deploy into production of a suite of data led / analytics driven product that influenced an excess of 30% risk reduction across the bank IT Application Estate Lead the Predictive Analytics & Data Science function in the Chief Metrics Office department to develop models which keeps gaining appreciation from a wide range of senior technology stakeholders and leaders across the bank. Liaise with data science team to extend the current IT stability risk model to score not only just applications but also non-application IT assets (Infrastructure components such as server, database) from risk causing perspective. Help the Group CIO Technology Risk & Controls department build transformational risk analytics across all of the DB group through application of latest predictive/AI analytics methodologies and strategic management information.
EDUCATION
ENSAE Paris
Diplome de Statisticien Economiste, Economics, Statistics, Finance
Ecole Polytechnique, Paris
Ingenieur Diplome de l'Ecole Polytechnique, Mathematics, Physics, Economics, Ranked 193 out of 400 - promotion year 1992
Toulouse School of Economics
Doctoral research fellowship / Full-time 1st year PhD student under supervision of Prof. Patrick Rey, Econometrics and Quantitative Economics, PhD not completed beyond first year of research
Toulouse School of Economics
DEA Economie Mathematique & Econometrie, Econometrics and Quantitative Economics, Mention Bien
ABOUT NICOLAS MALLISON
Exemplary business-focused subject matter expertise with a passion for predictive and prescriptive data analytics, data driven product design and decision science combined with an extensive experience of leading quantitative teams for Digital Transformation through Applied AI & Machine Learning. Promotes an inclusive, trustful and empowering work culture and recommends innovative ways of achieving the most scalable, data-centric outcomes whilst influencing how enterprises build client-facing tools.
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