José Miguel Lara Rangel Email and Phone Number
Miguel Lara is an actuary specialized in Machine Learning, AI, predictive modelling, and financial risk models, who is currently a member of Trinity College at the University of Cambridge doing the MPhil in Machine Learning and Machine Intelligence. Previously, he was a Quantitative Models Risk Manager at HSBC, and before joining HSBC, he was Senior in the Latin American Financial Services and Data & Analytics Consulting Practice at EY, participating in regional transformation projects for the Financial Services Industry. He has led, supported, and assessed teams for projects in several countries.His professional experience includes finance and AI projects, regulatory assessment, risk analytics, risk models development and assessment, financial and investment analysis, documentation of models and software development and implementation, business strategies creation, development, assessment, and implementation of statistical and machine learning models and analytical solutions, as well as revenue optimization and budget, costs, and profit analysis.
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Data Science And Ai ManagerPfizerPuebla, Mexico
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Quantitative Risk Models ManagerHsbc Dec 2022 - Oct 2023Perform quantitative analysis and qualitative research with focus on model data, design, performance, regulation, and implementation across regions, businesses, functions, and risk types within the bank (including Machine learning, AI, pricing, algorithmic trading, Asset liability and capital management, finance, market, and counterparty credit risk). Assessment on model risk and policy compliance for different regions and regulatory entities. Documentation of conclusions and identified model limitations. -
Senior ConsultantErnst & Young Global Consulting Services Oct 2020 - Dec 2022Lead, management and support on the development of business analytics, business intelligence and data science projects. Leader of specialized teams for several projects for financial institutions. Advising on the implementation and development of statistical methods and models. Development and assessment of predictive models. Statistical analysis and development of business strategies. Development and assessment of Machine Learning models and stochastic models. Financial Analysis. Bank products modelling. Development of dashboards for KPIs analysis. -
Data ScientistPemex Apr 2020 - Sep 2020Development and Management of project for the optimization of the processes of results and risk measurement of the national hydrocarbons production. Python programming for data analysis, data mining, data processing and data visualization. Development of dashboards and tools for KPIs analysis. -
Summer Program StudentCasualty Actuarial Society Jun 2020 - Aug 2020 -
Financial AnalystDepartment Of Planning And Finance - State Of Puebla Aug 2019 - Feb 2020Puebla De Zaragoza Y Alrededores, MéxicoExcel programming (VBA) for budget management applications. Analysis of financial statements. Support on management of federal, state, and municipal public investment programs and other activities.
José Miguel Lara Rangel Skills
José Miguel Lara Rangel Education Details
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Machine Learning And Machine Intelligence -
Actuarial Science -
Artificial Intelligence
Frequently Asked Questions about José Miguel Lara Rangel
What company does José Miguel Lara Rangel work for?
José Miguel Lara Rangel works for Pfizer
What is José Miguel Lara Rangel's role at the current company?
José Miguel Lara Rangel's current role is Data Science and AI Manager.
What schools did José Miguel Lara Rangel attend?
José Miguel Lara Rangel attended University Of Cambridge, Benemérita Universidad Autónoma De Puebla, Trinity College Cambridge.
What skills is José Miguel Lara Rangel known for?
José Miguel Lara Rangel has skills like Python, Italiano, R, Microsoft Excel, Ruso, Power Bi, Visual Basic Para Aplicaciones, Tableau, Sas, Ciencia Actuarial, Sql.
Who are José Miguel Lara Rangel's colleagues?
José Miguel Lara Rangel's colleagues are Paul Brown, Daniella Silva, Money Frank, Quinn Paré, Gillian Beatty, Lorenzo Riela, Jill Collins.
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