Responsibilities
- Working closely with Fin Crime & Compliance team to improve work efficiency as well as mitigate compliance risk.
- Interpret data and translate statistical insights into actionable decisions to drive operational effectiveness and efficiency.
- Lead the development, maintenance, and definition of specific compliance systems (such as AML detection engine).
- Help maintain existing in production models, support audit requests which include : QA testing, and continuous improvement initiatives.
- Identify new business improvement opportunity and lead the end to end development from proof of concept to production deployment.
Requirements
- Bachelor's Degree (or above) in quantitative discipline, PHD will be a plus.
- 8 years of hands-on experiences as Data Scientist within financial tech, blockchain companies, preferably exposure in onchain analysis.
- Proficient in python, SQL, with demonstrated experience build & maintain in production ML models use AWS suits.
- Down to earth, willing to take ad-hoc data analysis requests as well as leading end to end development of products.
- Good tracking of international cutting-edge technology, proficient in reading English documents of international conferences and journals and applying them to engineering practice.
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