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