Summary

Responsibilities

1. Working closely with Fin Crime & Compliance team to improve work efficiency as well as mitigate compliance risk.
2. Interpret data and translate statistical insights into actionable decisions to drive operational effectiveness and efficiency.
3. Lead the development, maintenance, and definition of specific compliance systems (such as AML detection engine).
4. Help maintain existing in production models, support audit requests which include : QA testing, and continuous improvement initiatives.
5. Identify new business improvement opportunity and lead the end to end development from proof of concept to production deployment.

Requirements

1. Bachelor's Degree (or above) in quantitative discipline, PHD will be a plus.
2. 8 years of hands-on experiences as Data Scientist within financial tech, blockchain companies, preferably exposure in onchain analysis.
3. Proficient in python, SQL, with demonstrated experience build & maintain in production ML models use AWS suits.
4. Down to earth, willing to take ad-hoc data analysis requests as well as leading end to end development of products.
5. Good tracking of international cutting-edge technology, proficient in reading English documents of international conferences and journals and applying them to engineering practice.

Skills

• AWS
• Database Management
• Python
• SQL
• Team Collaboration