Make an impact
of your own.

We are looking for a passionate Senior Data Scientist to join our growing team. You will play a critical role in developing our machine learning and AI solutions to mine data for insights, build predictive models, and improve the overall effectiveness of our consumer lending processes.

Responsibilities

1. Develop, validate, monitor, and maintain machine learning and statistical models to understand and predict customer behavior and loan performance.
2. Use predictive modeling and analytics to manage credit risk and optimize growth in various business domains, including risk management, fraud prevention, digital ads, customer experience, and collections.
3. Design experiments with proper statistical test and analysis as well as translating business metrics into corresponding experiment statistics.
4. Ability to create reusable production level end-to-end data pipeline to generate features using DBT is a plus
5. Collaborate with cross-functional teams to translate complex business problems into actionable data-driven solutions.
6. Work closely with the leadership team to design data products to achieve business objectives, supporting new product development and enhancing customer experience.
7. Collaborate and initiate innovative data science projects to advance financial inclusion.

Qualifications

1. Master or Bachelor degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field.
2. Minimum 5 years of experience in a data science role and managing machine learning models in production, ideally in fintech, banking, lending, or a related field.
3. Strong knowledge of machine learning techniques, predictive modeling, clustering, classification, and optimization algorithms.
4. Fluency in Python and SQL
5. Familiarity with data visualization tools like Metabase, Tableau, Power BI or equivalent.
6. Basic understanding of financial and lending industry concepts and regulatory environment.
7. Excellent problem-solving skills, combined with strong business acumen.
8. Strong communication skills with the ability to clearly present complex data, context, and implications to non-technical stakeholders.