"Not everything that can be counted counts and not everything that counts can be counted", Albert Einstein

Note Globale    

Xavier

46 ans

Paris

Xavier
Chief Data Officer, Head of Data Science

Expériences professionnelles

 

Freelance Consulting

Data & AI Strategy Expert - Interim Management (Chief Data Officer, Head of Data Science)

Mai 2023 - Aujourd'hui



Avr 2021 - Mai 2023

Career Break


Cap Gemini Invent
Paris

Director AI, Data Science & Engineering

Oct 2019 - Avr 2021

* Co-Lead of the Data & Data Science Team.
* Leading Data Strategy, Deep Learning, Machine Learning / Predictive Analytics, Data visualization, Data engineering and Data governance projects and teams, covering several topics and sectors depending on our clients' needs.
* Business development: RFI, RFP, communication.
* Missions:
? French Government - STOPCOVID/TousAntiCovid: Project Management and Data Science for the French government on the Covid-19 contact tracing app. Collaboration with a consortium including INRIA, Orange, 3DS.
? DITP: development of epidemiological models (Compartmental models, micro simulations) and dashboarding tools to monitor and manage the Covid-19 crisis.
? ACCOR: interim manager as Acting Head of Data Science. Main topics: team management, Machine Learning, Clustering & Time series predictions applied to digital marketing and hotels occupancy rate.
? BNP Paribas: Project Management and Data Science, NLP and NLG applied to Financial Analysis for Credit & Corporate Lending activities.


Bolden

Chief Data & Risk Officer

Jan 2017 - Jan 2019

* Operating in France, Bolden is a leading peer-to-peer lending marketplace that allows investors to lend money directly to small and medium-sized businesses.
* Responsible for Risk Management and utilization of information as an asset.
* Leading Risk, Big Data, Data visualization, and Machine Learning / Predictive Analytics projects and teams, covering topics such as digital marketing, credit risk, fraud risk, financial modelling, and operations.

Younited Credit (formerly Prêt d'Union)

Chief Data Officer

Jan 2015 - Jan 2017

* Younited Credit is the 1st peer-to-peer lending internet platform in France, and also the leader in Continental Europe. Value of over 1 billion EUR since 2021.
* Responsible for utilization of information as an asset.
* Leading Big Data, Data visualization, and Machine Learning / Predictive Analytics projects and teams, covering topics such as digital marketing, credit risk, fraud risk, financial modelling, and operations.
* Led the development of the new machine learning production framework of Younited Credit: live scoring/prediction at the end of our web application form, using socio demographic, web acquisition channel and web behavioral data. Performance gain of 19%.
* Other projects achieved include: fraud prediction model that improved accuracy by 12%, email opening prediction model that improved accuracy by 5%, acquisition funnel analysis and optimization.

HEC MBA Paris

Freelance Consultant / Project Manager

Juil 2014 - Mars 2015

Missions/projects that were part of the MBA Executive education:

1. 3 month project: market research, investor pitch session and delivery of a business plan on molecular diagnostic and personalized cancer treatments. Worked with Professor David Khayat, Head of the Department of Oncology at the Pitié-Salpêtrière Hospital.

2. Digital Innovation for Business Certificate: virtual creation of 2 e-business lean startups with a focus on digital strategy, branding, ergonomics, acquisition, SEO & SEM, digital communication.

3. 2 month project: Project Manager, Amazon Luxembourg:

Identify causes and propose solutions for lower than expected revenues per localized products (products localized from one country to another one). Team Budget: 98M Euros.

Gathered and analyzed data in order to identify and quantify factors affecting revenues: webpage content, search ranking, customer reviews, impressions, translation quality, inventory.


BNP PARIBAS

Paris head of Credit Arbitrage Trading, Credit Derivatives

Jan 2007 - Déc 2012

* Managed a proprietary trading team of 4 people with 3 Correlation Trading books (CDOs, CDSs).
* Consistently exceeded PnL target: on average, 50M Euros per year.


* Led a Statistical Arbitrage/Quantitative Trading project across different teams and locations (London, Paris, Hong Kong, New York). Framework (credit, equity, rate, FX) for mean reversion trades, and multifactor macro analysis.

BNP PARIBAS

Quantitative Analyst, Credit Derivatives

Jan 2001 - Jan 2007

* Led the Credit Derivatives Modelling team in London.
* Researched and Developed the BNP Paribas CDO technology: correlation skew modelling, dynamic modelling for CDO options, and analysis of trading strategies performances.
* Researched and Developed models for hybrids (equity/interest rate/credit cross products) and volatility products: options on CDSs, bonds, indices, equity hybrids.
* Answered exotic trading and structuring needs for innovations on existing and new products.

Formation

 

2015     HEC PARIS; PARIS, FRANCE - MBA - Entrepreneurship Specialization

2015     HEC PARIS; PARIS, FRANCE - MBA - Entrepreneurship Specialization

Langues

 

Anglais : Niveau avancé

Francais : Langue maternelle

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