BENJAMIN DAVID

Actuaire / Risk Analyst

Salaire / Taux journalier

Paris, France

Freelance, ouvert au CDI

À distance uniquement

Expertises

Data VizualizationData ScienceRFinancePythonGitData MiningBig DataRequêtes SQLData AnalysisMachine Learning

Langues

Français (Maternelle)Anglais (Courant)

À propos

Introduction

Actuaire passionné de modélisation avec R. Je suis disponible pour des missions de modélisation dans le secteur assurantiel et bancaire.

Liens

Expérience de travail

Market Risk Analyst

Arkéa Investment Services

déc. 2020 - Présent

5 ans 11 mois

• Valorisation et suivi des positions sous gestion • Production des indicateurs de risques et suivi des portefeuilles (Sensibilités, Grecs, Value at Risk, ...) • Projections et Stress Tests pour les clients assureurs (SCR marché, ORSA, ICAAP) • Reporting ESG : quantification des impacts environnementaux des investissements financiers • Animation des comités de risques de marché

Consulting Data Scientist

71point4

mars 2020 - sept. 2020

7 mois

Le Cap, Afrique du Sud

Mission : "Analyse des données de paiement mobile au Rwanda dans un contexte de digitalisation" • Estimation des revenus des opérateurs téléphoniques et quantification de l'impact des différentes politiques de frais sur la digitalisation (Séries temporelles, Économétrie, Machine Learning, R, PySpark) • Segmentation des clients (R, PySpark)

Actuary

AXA Partners

avr. 2017 - nov. 2019

2 ans 8 mois

92320 Châtillon, France

AXA Partners, subsidiary of AXA group, delivers worldwide assistance services through four business lines : Auto, Travel, Health and Home. • Statistical analyses and machine learning of claims occurrence and cost then used for pricing (R / R Markdown) - Profitability follow-up • Data collection and datamarts building in Hadoop environment (SQL) • Development of R packages to connect data lake with RStudio server and to facilitate data transformation (R / Shell / Git) • Creation of interactive dashboards to facilitate providers management and cost control (Spotfire) • Creation of automated reports in Hadoop environment (R Markdown / Oozie) • Teaching R to my actuaries' colleagues • Contribution to the data tools migration project from BI/BO to a data lake in Agile method • Participation in a weekly data science meeting with international colleagues • Trainee and Consultant supervisor

Risk Analyst

Younited Credit

nov. 2015 - mars 2017

1 an 5 mois

Paris, France

Younited Credit is an online consumer lending platform in Europe. It allows investors to directly finance consumer loans to European households, offering competitive interest rates to borrowers and attractive returns to investors. A leading european fintech with €160 million equity raised since launch. • Worked as the first employee in the French risk team • Development of credit scoring models (logistic regression and gradient boosting) with R • Implementation of indicators to assess the scoring model performance • Statistical analyses on granting rules to boost loan origination without increasing default risk • Default risk monthly monitoring • Trainee supervisor

Actuary Benefit Consultant

SIACI SAINT HONORE

mars 2014 - oct. 2015

1 an 8 mois

Paris, France

Siaci Saint Honore is one of the top 3 players in insurance brokerage in France and a key player in employee benefits. • Actuarial and accounting assessments IAS 19 (IFC, defined benefit plans) • Pensions assessments and individual career reconstitutions (France and worldwide) • Design of employee savings solutions • Simulation of term savings resulting from the savings plans implemented within the company • Descriptive statistics on investor behaviors


Formation

ENSAE Paris

Data science

2018 - 2019

2 ans

Main courses: Advanced machine learning, Databases, Big Data environment (Hadoop, Hive, Spark), R & Python programming, Dimensionality reduction, Time series, Clustering, Shiny, Text mining, Web scraping. Group project: "Airbnb rental prices prediction". Data volume : 1.3+ million rows and 450+ variables after feature engineering. Text mining and sentiment analyses on reviews. Dimensionality reduction with Principal Component Analysis. Machine learning with cross validation (Regularized Regression, Random Forest, Gradient Boosting). Development of a Shiny web application: a pricing rental estimator depending on accommodation characteristics.

EURIA

Master's degree, Actuarial Science

2011 - 2014

4 ans

Thesis : "The dependence of French pension system on economic growth" Project : "Health pricing with neural networks" Main courses : Mathematics for actuarial science, Finance and Insurance, Computing, Economics and Law

Lycée Saint Stanislas

Classes prépas MPSI - MP

2009 - 2011

3 ans

Post-secondary programme preparing leading to the nationwide competitive entrance examination for admission to graduate-level French engineering Academies


Licences et certifications

Fully qualified actuary

Délivré le : janv. 2020

Certifié par Institut des Actuaires

Fellow actuary

Délivré le : oct. 2014

Certifié par Institut des Actuaires

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