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Data Scientist - Financial Services
Data Scientist - Financial Services
As a Data Scientist, you will be a key member of the GoFinance Data Science team in Singapore, focusing on building, evaluating, and monitoring consumer risk models for various financial products. You will own end-to-end modeling initiatives, define and implement data science models, and communicate technical concepts to a non-technical audience. Your work will contribute to expanding financial inclusion in the region.
About the role
About The Role
Fasten your helmet and climb aboard if you’re ready to be our Data Scientist. In this role, you will be an integral player within the GoFinance Data Science team based in Singapore. You’ll take the wheel in overseeing all data aspects for the platform, building, evaluating, and monitoring consumer risk models for a variety of financial products. The folks in the Engineering and Project Management teams will be your companions on this ride, as they’ll help bring your models to production. Most importantly, your efforts will work to bring wider financial inclusion to more people in the region and beyond.
What You Will Do
- Build, evaluate, and monitor consumer credit risk models for a variety of financial products
- Work as a part of our product team in defining, prototyping, and implementing data science models and other supporting DS initiatives
- Own end-to-end modeling initiatives and business outcomes/metrics
- Help to make data science and data-driven decisions a part of the organization’s DNA
- Communicate technical concepts to a non-technical audience
- Mentor junior colleagues, conduct internal workshops, and give talks
- Perform ad-hoc analysis and present results in a clear and concise manner
- Prepare model documentation and other supporting documents for auditors
What You Will Need
- At least 2 years of hands-on experience in building, evaluating, and monitoring ML
- Excellent understanding of mathematics and statistics
- Really good understanding of machine learning techniques/algorithms and proven Python, SQL, and Shell skills
- Understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML
- Experience with experimenting on different modeling techniques (supervised and unsupervised learning) and develop data visualization for data stories
- Good communication skills and ability to present technical concepts to a non-technical audience
- Ability to work independently to solve problems and develop solutions
- Able to write model documentation clearly and concisely and support recommendations with research and data