Senior Data Scientist (Onchain Analytics)

1 Year ago • 8 Years +
Data Analysis

Job Description

Binance, a leading global blockchain ecosystem and cryptocurrency infrastructure provider, is seeking a Senior Data Scientist with expertise in Onchain Analytics. The role involves collaborating with the Fin Crime & Compliance team to enhance work efficiency and mitigate compliance risks. Responsibilities include interpreting data to drive operational effectiveness, leading the development and maintenance of compliance systems like AML detection engines, supporting existing production models, and identifying new business improvement opportunities. The ideal candidate will lead end-to-end development from proof of concept to production deployment, ensuring continuous improvement and responding to audit requests.
Good To Have:
  • PhD is a plus
  • Experience in financial tech or blockchain companies
  • Exposure to onchain analysis
Must Have:
  • Bachelor's Degree in quantitative discipline
  • 8 years experience as Data Scientist
  • Proficient in Python and SQL
  • Experience building production ML models on AWS
  • Ability to handle ad-hoc data analysis
  • Familiar with international cutting-edge technology

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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.

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