VP of Risk and Data Analytics

 

Aflore is looking for a VP of Risk and Data Analytics, who will lead the development of innovative quantitative models for understanding our customers and our network of Informal Advisors and making and taking lending decisions.  We are looking for a dynamic candidate, to join our fast growing start-up, that is changing the way the middle class in Latin America access and interacts with financial services. 

 

Aflore

Aflore is implementing a disruptive business model for improving financial inclusion:  Aflore is the first direct sales network in Latin America; a company that driven by technology, brings loans and insurance products directly to the homes of the underbanked.  Aflore has created a network of Informal Financial Advisors, who help their friends and family manage better their money and get access to financial products to achieve their dreams.  Aflore is a young company, with an international team, where your opinion counts.  You will participate in the growth of Aflore, a company that has been recognised as one of the best fintech startups in Latin America

 

The role

We are looking for an outstanding VP of Risk and Data Analytics, who will continue leading the development of Aflore’s innovative decision models.  The role is absolutely critical for the company and we are looking for a person with superb analytical skills to lead this area.  We are looking for a candidate with solid knowledge on credit modelling for consumer loans and/or microfinance, but who is also willing to go beyond traditional models and develop new ones with alternative data and the latest statistical techniques: machine learning, deep learning, etc. You will lead a growing team of data scientists, interact closely with our Technology team and report directly to Aflore’s COO. 

 

Job Functions

  • Lead data strategy for Aflore, ensuring data becomes a key driver in Product Development and overall strategy
  • Ensure availability of relevant data to take day to day decisions. Design KPs dashboards across all teams
  • Develop predictive credit models for Aflore’s potential borrowers
  • Develop predicting models for identifying the profile and performance of Aflore’s Informal Advisors
  • Develop predictive models for supporting the collections strategy
  • Develop behavioural models for current clients
  • Develop new metrics and reports that allow Aflore to identify risk early
  • Monitor the risk exposure of the loan portfolio and provide feedback to continuously adjust the risk policy
  • Lead data strategy for Aflore, ensuring data becomes a key driver in Product Development and overall strategy
  • Conduct Ad-hoc analysis to discover relevant insights for the company

 

Requirements

  • Graduate with solid quantitative skills, preferably with a major in maths, physics, statistics, engineering, economics or finance
  • Minimum five years of experience of data analytics and/or risk preferably working for financial services firms
  • Minimum two years of experience leading analytics teams
  • Strong analytics skills with working knowledge of statistical methods. Experience building machine learning models a plus. 
  • Comfortable using R, SQL. Programming on Python a plus. 
  • Creative and flexible to adapt to a constantly changing and dynamic environment
  • Top team player
  • Passionate for developing innovative solutions for financial inclusion
  • Complete fluency in English and Spanish

 

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