Jonathan Del Hoyo

Jonathan Del Hoyo Email and Phone Number

Recruitment specialist: AI - Machine Learning - Data Engineering - Big Data - Data Science @ Datasama
paris, île-de-france, france
Jonathan Del Hoyo's Location
Paris, Île-de-France, France, France
Jonathan Del Hoyo's Contact Details

Jonathan Del Hoyo work email

Jonathan Del Hoyo personal email

About Jonathan Del Hoyo

Passionate about Data (big, small, open), analytics and entrepreneurship, I have cofounded Datasama, a recruitment service specialized in Data Experts profiles (Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Data Analyst, etc.).Previously, I was a quantitative developer at SunGard in London for more than two years where I dealt with complex modeling issues and manipulated vast amount of data.I have graduated from the French Top School ENSAE Paristech - Paris Graduate School of Economics, Statistics and Finance. At the same time, I graduated from the famous "Master Modélisation Aléatoire" of University Paris Diderot (director: Laure ELIE) which supplements my formation in quantitative analytics by adding very specific courses (Levy processes, volatility surface, jump processes and calibration.).Spécialisations : analytics, problems solving, big data, machine learning, statistics, development, agile, C++, C#.

Jonathan Del Hoyo's Current Company Details
Datasama

Datasama

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Recruitment specialist: AI - Machine Learning - Data Engineering - Big Data - Data Science
paris, île-de-france, france
Website:
datasama.com
Employees:
2
Jonathan Del Hoyo Work Experience Details
  • Datasama
    Ceo And Co Founder
    Datasama Sep 2014 - Present
    Paris Area, France
    Datasama is the only French recruitment service specialized solely focused in Data experts and founded by Data Scientists. Looking for a Data expert? Let us help you find the best:- Machine Learning Engineers- Data Analysts- Data Scientists- Data Engineers- Lead / Data Science Managers💡 Discover the most exhaustive study on Data experts in France in 2020! It shows fascinating insights on the tools, languages and daily life of these experts but also on their aspirations -> https://www.datasama.com/la-grande-etude-data-2020
  • Sungard
    Quantitative Developer & Data Scientist
    Sungard Jun 2011 - Jun 2014
    Londres, Royaume-Uni
    - As part of Adaptiv Analytics' models team, my role was to design, develop and improve models across a broad range of areas.- In charge of the design and the implementation of various evolution models, the major one being a stochastic volatility model with jumps. - Feasibility study of a quasi random number generators for risk simulation and pricing. - Expertise on Brazilian instruments (e.g. business 252 day count convention).
  • Barclays Capital
    Working Group In Quantitative Finance
    Barclays Capital Nov 2010 - May 2011
    Région De Paris, France
    1. Study of Dupire’s local volatility model and Andersen’s quadratic volatily model.2. Developing methods to calibrate these models and pricing of forex products (Monte Carlo,quasi-analytical PDE). Programming in C++.3. Extension of the previous model by adding a stochastic volatility component.
  • Generali
    Statistics Analyst
    Generali Jun 2010 - Oct 2010
    Région De Paris, France
    Intermediary role between the actuarial team and the marketing department.Construction of a value indicator for the professional clientele: determined by numerous analysis, explanatory models and actuarial tools. SAS and VBA programming.--> Results: better targeting in marketing campaigns. Indicator created is being implemented on network stations of insurance agents.
  • Axa Corporate Solutions
    Actuary Assistant
    Axa Corporate Solutions Jun 2009 - Sep 2009
    Région De Paris, France
    Splitting the aviation sector in many sub lines of businesses (airlines, general aviation and constructors).Retrieval and data manipulation. Actuarial Studies (chain ladder, Bornhuetter-Ferguson) to estimate the profitability of sub lines of businesses.--> Results: better understanding of the aviation market's profitability (through combined ratios). 3 final fields much more useful than data from the initial field.
  • Ecole Nationale De L'Aviation Civile
    Statistics Analyst
    Ecole Nationale De L'Aviation Civile Jun 2008 - Sep 2008
    Région De Toulouse, France
    Designed a database clear and easy to update allowing the modeling of a cost function of French air traffic control.Modeling and estimations using Econometrics literature (GLS, Translog) followed by calculations of economics indicators.--> Results: writing of a research report which details step by step the process and all the results.

Jonathan Del Hoyo Skills

Machine Learning Python R Quantitative Analytics Data Analysis Data Science Data Mining Sas Hadoop C++ C# Financial Modeling Tableau Risk Management Mapreduce Django Amazon Web Services Scrum

Jonathan Del Hoyo Education Details

Frequently Asked Questions about Jonathan Del Hoyo

What company does Jonathan Del Hoyo work for?

Jonathan Del Hoyo works for Datasama

What is Jonathan Del Hoyo's role at the current company?

Jonathan Del Hoyo's current role is Recruitment specialist: AI - Machine Learning - Data Engineering - Big Data - Data Science.

What is Jonathan Del Hoyo's email address?

Jonathan Del Hoyo's email address is jo****@****tech.fr

What schools did Jonathan Del Hoyo attend?

Jonathan Del Hoyo attended Ecole Nationale De La Statistique Et De L'administration Économique, Université Denis Diderot (Paris Vii), Coursera, Université Toulouse 1 Capitole.

What are some of Jonathan Del Hoyo's interests?

Jonathan Del Hoyo has interest in Cinéma, Entrepreneuriat, Big Data, Machine Learning, Education, Nouvelles Technologies, Programmation, Natation, Tennis, Startups.

What skills is Jonathan Del Hoyo known for?

Jonathan Del Hoyo has skills like Machine Learning, Python, R, Quantitative Analytics, Data Analysis, Data Science, Data Mining, Sas, Hadoop, C++, C#, Financial Modeling.

Who are Jonathan Del Hoyo's colleagues?

Jonathan Del Hoyo's colleagues are Linda Laïfaoui.

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