Data Scientist / Analyst (CRR, KYC, KYB)
atBinance
Mar 17
Founded by Changpeng Zhao (CZ) in 2017, Binance is currently the largest cryptocurrency exchange in terms of daily volume. Binance is the core global exchange. However, Binance operates separate exchanges in some countries such as the US, UK, Singapore, and Turkey due to regulatory reasons.
Since Binance has global operations, the exchange does a lot of hiring on a regular basis. Being a market leader, Binance Jobs also come with significant perks. Most of the jobs are remote, with flexible working hours. Binance also offers health insurance, the option to be paid in crypto, and programs to develop your skills.
If you're looking for Binance US Jobs, a wide range of them are also available most of the time. On average, the Binance Interview process lasts 2-4 weeks with 4 steps: Application Review, Interview, Offer, and finally Onboarding.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.We are seeking a highly skilled and motivated Data Analyst to join our team. This role is pivotal in developing and enhancing our Customer Risk Rating (CRR), Know Your Customer (KYC), and Know Your Business (KYB) risk models. The ideal candidate will possess a blend of compliance domain knowledge and technical data analysis skills, including proficiency in SQL and Python. Additionally, experience with machine learning (ML), large language models (LLM), and simulation automation will be highly beneficial.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Finance, Economics, or a related field.
- Proven experience in data analysis, risk modeling, or a related role within the financial services/financial tech/crypto. Â
- Strong understanding of compliance and regulatory requirements related to KYC and KYB. Â
- Demonstrated experience with dynamic risk scoring and customer risk score simulation.Â
- Capable of using tech solution to automate hypothesis testing and validation, as well as explain the solution to compliance stakeholdersÂ
- Proficiency in SQL for data extraction and manipulation. Â
- Advanced knowledge of Python for data analysis, modeling, and automation. Â
- Understanding of large language models (LLM, machine learning techniques and their applications in risk assessment.
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