About the role
We are looking for a self-motivated, naturally curious person interested in solving complex lending issues in new and innovative ways. This individual must utilize expertise to query, design and translate complex data analysis into simple, user-friendly mediums that are easily digestible by business units and stakeholders. Candidates must be comfortable working on a team and have strong communication and presentation skills. The Data Scientist will have direct reporting responsibility to the machine learning team lead.
Description
- Develop machine learning models such as credit model, income estimation model and fraud model
- Research on cutting-edge technology to enhance existing model performance
- Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data)
- Develop sentimental analysis model in order to support collection strategy
Qualifications
- Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
- 2-5 years of experiences in programming languages such as Python, SQL or Scala
- 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role
- Experience with python libraries – Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django
- Experience with source version control (Git, Bitbucket)
- Proven knowledge on Rest API, Docker, Google Big Query, VScode
- Strong analytical skills and data-driven thinking
- Strong understanding of quantitative analysis methods in relation to financial institutions
- Ability to clearly communicate modeling results to a wide range of audiences
Nice to have
- Experience in image processing or natural language processing (NLP)
- Solid understanding in collection model
- Familiar with MLOps concepts