Francesco Mancarella Email & Phone Number | Quantitative analyst with a love for problem solving and background in physics, math modelling, finance, statistics, programming. Experience: • ODE; PDE; Linear algebra; Probability; Statistics; Stochastic calculus; Bayesian & Classical Inference • Supervised learning; Deep learning (Feedforward networks; Convolutional networks; Recurrent neural networks; Recursive networks); Reinforcement learning • Stochastic model development (equities, energy, and other asset classes) • Econometrics, time series and various statistical learning techniques • Python; NumPy; pandas; matplotlib; scikit-learn; keras; basic C++; Mathematica • Collaborative software; version control software • Derivatives pricing; Black-Scholes model; Greeks; Mean-Variance portfolio optimisation • Excel (C++ interfacing); Git (version control); Sourcetree (Git GUI); Bitbucket, GitHub (Git hosting); Spyder, Jupyter notebook, Visual Studio (development environments); Azure DevOps (project management); Confluence (collaboration); LaTeX, Beamer, MS Office, KaleidaGraph, Acrobat (productivity); macOS, Windows, Linux (operating systems)

Francesco Mancarella

Quantitative analyst with a love for problem solving and background in physics, math modelling, fina...
Copenhagen, Copenhagen, Denmark

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Francesco Mancarella’s Phone Numbers +45 70 12 3****

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Francesco Mancarella’s Location Copenhagen, Copenhagen, Denmark

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VP, Model Risk Management

2023-01-01 00:00:00 - Present

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Francesco Mancarella is a Quantitative analyst with a love for problem solving and background in physics, math modelling, finance, statistics, programming. Experience: • ODE; PDE; Linear algebra; Probability; Statistics; Stochastic calculus; Bayesian & Classical Inference • Supervised learning; Deep learning (Feedforward networks; Convolutional networks; Recurrent neural networks; Recursive networks); Reinforcement learning • Stochastic model development (equities, energy, and other asset classes) • Econometrics, time series and various statistical learning techniques • Python; NumPy; pandas; matplotlib; scikit-learn; keras; basic C++; Mathematica • Collaborative software; version control software • Derivatives pricing; Black-Scholes model; Greeks; Mean-Variance portfolio optimisation • Excel (C++ interfacing); Git (version control); Sourcetree (Git GUI); Bitbucket, GitHub (Git hosting); Spyder, Jupyter notebook, Visual Studio (development environments); Azure DevOps (project management); Confluence (collaboration); LaTeX, Beamer, MS Office, KaleidaGraph, Acrobat (productivity); macOS, Windows, Linux (operating systems)