Data Scientist Internship at Arbor

Convenio de Prácticas (Estudiantes) Madrid

Descripción:
As a Data Scientist at Arbor, you will utilize analytical, statistical and programming skills on large and complex datasets to drive business insights and decisions. This role is designed to work across all areas of the business, collaborating very closely with various teams such as IT, Business Development, CEO, Finance, etc.

Responsibilities include, but are not limited to:
• Quantifying customer risk by building credit scoring models
• Design, code and implement credit scoring models using statistics and machine learning
• Work closely with IT to test and deploy credit scoring models
• Manipulate and analyze complex and high-volume data from varying sources
• Monitor and optimize model performance and accuracy
• Perform analyses and develop analytical dashboards
• Communicate complex quantitative analysis in a clear, precise, and actionable manner
• Perform different tests, analyze results and make long-term decisions that will improve the product and customer experience

At Arbor we encourage continuous learning and improvement. Once onboard, we’d be happy to extend or change your role and responsibilities in line with your interests and the company needs to further develop your career.

About Arbor
Arbor is a financial services startup based in Madrid, Spain, cofounded by 4 ambitious entrepreneurs coming from the financial and tech worlds. Arbor is a 360-degree financial wellness platform helping users to save, invest and cut debt through an easy to use and free to download app. Our mission is simple: financial wellness as available as the internet.
As a Data Scientist at Arbor, you will utilize analytical, statistical and programming skills on large and complex datasets to drive business insights and decisions. This role is designed to work across all areas of the business, collaborating very closely with various teams such as IT, Business Development, CEO, Finance, etc.

Responsibilities include, but are not limited to:
• Quantifying customer risk by building credit scoring models
• Design, code and implement credit scoring models using statistics and machine learning
• Work closely with IT to test and deploy credit scoring models
• Manipulate and analyze complex and high-volume data from varying sources
• Monitor and optimize model performance and accuracy
• Perform analyses and develop analytical dashboards
• Communicate complex quantitative analysis in a clear, precise, and actionable manner
• Perform different tests, analyze results and make long-term decisions that will improve the product and customer experience

At Arbor we encourage continuous learning and improvement. Once onboard, we’d be happy to extend or change your role and responsibilities in line with your interests and the company needs to further develop your career.

About Arbor
Arbor is a financial services startup based in Madrid, Spain, cofounded by 4 ambitious entrepreneurs coming from the financial and tech worlds. Arbor is a 360-degree financial wellness platform helping users to save, invest and cut debt through an easy to use and free to download app. Our mission is simple: financial wellness as available as the internet.
Requisitos:
Requirements
• Strong Python / R / SQL skills
• Strong risk analytics / risk management / credit scoring skills
• Knowledge of mathematics, statistics and machine learning (i.e. probability, regression, classification, sampling, decision trees)
• Data visualization and business intelligence proficiency
• Bachelor’s degree in statistics, mathematics, econometrics, computer science, engineering, or a related quantitative field
• Curiosity and drive to improve people financial wellness through technology

Skills
• Logic, problem solving, mathematics, finance, statistics and programming
• High analytical skills
• Strong passion for answering questions with data
Informática: Python, SQL
Idiomas: No indicado
localidad: Madrid, España
Jornada de trabajo: Horario de Mañanas y tardes
Contrato de trabajo: Convenio de Prácticas (Estudiantes)
Remuneración: A convenir
Más ofertas de: Arbor
Buscar prácticas en: #matematicas #estadistica #madrid