At LenddoEFL, our vision is to provide life-changing financial products to more than one billion underserved individuals around the world. We believe that financial inclusion isn't simply about access to financial products, but about access to fast, affordable, and convenient financial products. And we believe in empowering people to use their their digital profiles and personality traits to increase their financial options.
We offer leading alternative credit scoring, identity verification and insights products to financial institutions in more than 20 emerging markets. To date, LenddoEFL has allowed more than 50 financial institutions to run over 6 million assessments for people with limited information, allowing them to disburse over $2 billion USD in credit. We are already changing the world, but we are just getting started. Will you join us for our next chapter of growth?
About the role:
The Modeling Manager leads the LenddoEFL Modeling team. This role coordinates team activities and is responsible for modeling outputs. The Manager will design scalable big data pipeline/workflows for behavioral and social algorithms, and provide the Risk & Analytics team client-facing deliverables.
Review and analyze client and external data sets.
Manage and execute model development cycle & incremental model updates
Build improvements into our modeling processes and techniques
Deploy and integrate LenddoEFL's solutions in clients’ environments along with the Technology team
Establish and implement the risk frameworks including design variables and scorecards
Evaluate non-traditional sources of data to include in the LenddoEFL platform.
Educate customers risk teams on the LenddoEFL solutions and methodologies (including coordination of Workshops, Webinars and White papers development).
Help to Identify, recruit, and nurture future modeling and analytics talent.
Advanced degrees in Applied Math, Statistics, Actuarial Science, Engineering or equivalent
5+ years of job experience with statistical modeling with a focus on credit risk
Exceptional problem solving and critical thinking skills. Detail oriented.
Good communication skills; prefer candidates who have experience of presenting technical concepts and results to risk and business teams.
Required: Experience with statistical techniques and tools in python, R or similar.
- Experience in a wide range of numerical and statistical modeling, including pattern recognition, and machine learning.
Location: We are open to candidates located across Latin America with a preference for candidates located in Buenos Aires.
Our perks: Generous paid time off, paid parental leave, flexible schedules