Job Description
About the Position:
LenddoEFL is seeking an experienced Data Scientist to execute and improve our modeling efforts with an innovative, challenging alternative to traditional credit scoring. As a Data Scientist on LenddoEFL’s modeling team, you will be responsible for building, monitoring and deploying different types of models. The team works on non-traditional credit scoring techniques and is continuously looking for improvement on its standards.
The role:
- Work with research scientists/engineers to develop, prototype and productize new machine learning and graph algorithms operating on wide and big data.
- Design scalable big data pipeline/workflows for behavioral and social algorithms.
- Build strong communication channels with different stakeholders
Specific responsibilities
- Review and analyze client and external data sets.
- Deploy and integrate LenddoEFL's solutions in clients’ environments.
- Establish and implement the risk frameworks including design variables and scorecards, model validation and portfolio performance monitoring.
- Design, build and implement Data Manipulation environments for internal and external purposes
- Rapid identification of R&D opportunities and model improvement.
- Research new non-traditional sources of data to include in the LenddoEFL platform.
Preferred Qualifications:
- Advanced degrees in Applied Math, Statistics, Engineering or equivalent
- 5+ years of job experience with statistical modeling
- Strong programming skills.
- Experience with statistical techniques and tools in python or R.
- Good communication skills; prefer candidates who have experience of presenting technical concepts and results to risk and business teams.
- Plays well with others; able to listen to, appreciate, and effectively critique peers’ opinions.
Preferred Qualifications:
- Proven experience in Data manipulation. Database skills in any major database language.
- Deep fundamental understanding in the technical aspects, monitoring and evaluation techniques, and the challenges associated with traditional credit scoring.
- Demonstrated interest in machine learning and other non-traditional techniques for model construction, and able to leverage and work with skills of highly experienced data scientists.
- Experience in a wide range of numerical and statistical modeling, including pattern recognition, machine learning, and NLP.
- Experience (or keen desire for experience) in a small, fast-moving, high-growth company.
- Any level of experience with Spanish.
Lenddo has developed its patented technology based on 4 years of actual online lending experience that included collection, analysis and processing of billions of data points. The Lenddo Data Science team includes PhDs and uses advanced machine learning techniques to build predictive algorithms. In January 2015, Lenddo opened its technologies for third parties, such as banks, lending institutions, utilities companies and credit card worldwide to reduce risk, increase portfolio size, improve customer service and verify applicants.
Lenddo is a technology company that forged the idea of using non traditional data to compute people’s credit scores. It was founded in 2011 and its main focus initially was to improve lives of the emerging middle class in developing countries by providing micro loans for specific purposes.
This focus has evolved to work with financial institutions (and other firms) as partners, so its customers can use their social networks and other data such as Facebook, Linkedin, Google, Yahoo and Twitter to prove their identity and creditworthiness. Lenddo now offers a simple and secure way to prove identity and establish your character online to unlock loans, online shopping and improve chances of employment.
