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Loans for underbanked in Latam

VP of Risk and Data Analytics

$20k – $30k • 0.0% – 0.5%
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Aflore is looking for a VP of Risk and Data Analytics, who will lead the development of an innovative model for assessing credit risk. 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 is implementing a disruptive business model for improving financial inclusion: Aflore is the first direct sales network for financial services in Latin America; a company that supported 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 credit risk model. 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.

• Determine the Credit and Collections Policy
• 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
• Provide feedback on the loan portfolio to continuously adjust the risk policy
• Report to senior management the risk exposure of the loan portfolio

• Graduate with solid quantitative skills, preferably with a major in maths, engineering, economics or finance
• Minimum five years of experience in financial services with a focus on data analytics and/or risk
• Strong analytics skills with working knowledge of statistical methods
• Comfortable using SQL
• 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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