FairMoney is hiring a
Data Scientist

Summary

The job is for a data scientist at FairMoney, a mobile banking institution. The role involves developing algorithms to improve risk and debt collection strategies using large volumes of tabular data and key Machine Learning algorithms. The position requires strong analytical skills, proficiency in Python and SQL, and experience in the fintech domain.

Requirements

• Strong background in Mathematics / Statistics / Econometrics / Computer science or related field
• 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain
• Being best friends with Python and SQL
• Hands-on experience in handling large volumes of tabular data
• Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to a specific business problem
• Feeling confident working with key Machine learning algorithms. (GBM, XG-Boost, Random Forest, Logistic regression)
• Being at home building and deploying models. around credit risk, debt collection, fraud, and growth
• Track record of designing,. executing and interpreting A/B tests. in business environment
• Strong focus on business impact and experience driving it end-to-end. using data science applications
• Strong communication skills
• Being passionate about all things data

Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Mine and analyze data from company databases and external data sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions

Benefits

• Paid Time Off (25 days Vacation, Sick & Public Holidays) to all B2B contractors and employment staff
• Family Leave (Maternity, Paternity)