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Senior Data Scientist (Onchain Analytics)

Binance
Armenia +48Full Time13 hour

Job Summary

Binance is seeking a Senior Data Scientist (Onchain Analytics) to work closely with the Fin Crime & Compliance team. The role involves interpreting data, translating statistical insights into actionable decisions, and leading the development of compliance systems. The ideal candidate has 8+ years of experience in financial tech, blockchain companies, and onchain analysis. They should be proficient in Python, SQL, and AWS, with a strong understanding of international cutting-edge technology. This is a full-time opportunity with flexible remote work options.

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.
Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.

If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.

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