Senior Data Engineer
1 day ago
The Senior Data Engineer - Onchain role is a crucial position within our organization, focused on building robust, scalable data solutions that leverage blockchain technology and on-chain data management. This role requires a combination of advanced software engineering skills and a deep understanding of data processing, analytics, and security measures in the context of on-chain data. As a Senior Data Engineer, you will work closely with various teams including data scientists, product managers, and compliance departments to design and implement data pipelines and architectures that maximize the value of data investments. Your contributions will ensure data accessibility, consistency, and security, enabling the organization to make data-driven decisions that enhance our blockchain products and services. With the rise of decentralized finance (DeFi) and other blockchain applications, this role plays a significant part in our mission to leverage cutting-edge technology to improve data transparency and integration in financial solutions.
Key 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
Required Qualifications
- 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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