Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Coins.ph

Shanghai, China

$84k - $84k

Bitcoin Depot

Atlanta, GA, United States

$76k - $80k

Bitpanda

Barcelona, Spain

$98k - $108k

Numeus

Remote

$88k - $112k

Binance

Toronto, Canada

0x

San Francisco, CA, United States

$36k - $54k

Crypto.com

Hong Kong, Hong Kong

$90k - $112k

OP Labs

Remote

$103k - $117k

OKX

Singapore, Singapore

$54k - $62k

Bitso

Latin America

$72k - $103k

Impossible Cloud

Remote

$62k - $67k

Advanced Blockchain AG

Remote

$75k - $110k

Circle

Salt Lake City, UT, United States

$147k - $195k

Lemon.io

Canada

$48k - $110k

Blockchain.com

London, United Kingdom

$76k - $100k

Junior Risk Data Analyst SH

Coins.ph
$84k - $84k estimated

This job is closed

Junior Risk Data Analyst (SH)

Shanghai, China
Operations – Risk & Data /
Full-time Employee /
Hybrid

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Join the Pioneer Crypto Brand in the Philippines!

Coins is the most established crypto brand in The Philippines and has gained the trust of more than 18 million users. Through the easy-to-use mobile app, users can buy and sell a variety of different cryptocurrencies and access a wide range of financial services.

Coins is fully regulated by the Bangko Sentral ng Pilipinas (BSP) and is the first ever crypto-based company in Asia to hold both Virtual Currency and Electronic Money Issuer licenses from a central bank.

We are seeking a Junior Risk Data Analyst to join our company. The Junior Risk Data Analyst will play a crucial role in supporting our fraud and risk management efforts by analyzing data, identifying patterns, and assisting in the development of risk mitigation strategies. This position offers an excellent opportunity for individuals interested in the fintech industry and eager to contribute to the security and integrity of our platform.

Responsibilities:

    • Collect, analyze, and interpret large volumes of data to identify potential fraudulent activities, suspicious patterns, and emerging risks.
    • Develop and implement fraud prevention strategies and risk mitigation measures.
    • Monitor and investigate suspicious user activities, transactions, and account behaviors to detect and prevent fraud attempts.
    • Collaborate with cross-functional teams, including Compliance, Legal, and Operations, to ensure effective risk mitigation measures are in place.
    • Assist in the preparation of reports and presentations on fraud and risk management activities for internal stakeholders and regulatory bodies.

Qualifications:

    • Bachelor's degree or above in a relevant field such as Data Science, Statistics, Mathematics, or a related discipline.
    • Strong analytical skills and the ability to work with large datasets, identify trends, and draw meaningful insights.
    • Proficiency in data analysis tools such as Python, R, SQL, or similar languages and platforms.
    • Familiarity with data visualization techniques and tools (e.g., Tableau, Power BI) to present findings effectively.
    • Knowledge of fraud prevention, risk management, and compliance practices within the cryptocurrency or financial industry is a plus.
    • Excellent attention to detail and the ability to work independently and as part of a team.Strong problem-solving skills and the ability to think critically in a fast-paced environment.
    • Excellent communication skills, both written and verbal.
Join the Coins Team Now!

Meaningful Collaborations - The successful candidate will work cross-functionally with other relevant teams to carry out implementations that will improve and create an impact on customer experience.

Scalable Growth - Be part of a fast-growing organization with the vision to expand its territories outside APAC which will provide opportunities for career advancement.

A Space For Bright Ideas - Let your bright ideas be converted into meaningful changes! Coins culture welcomes new ideas backed up by data to create an impact.

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What does a data scientist in web3 do?

A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem

This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems

In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems

Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.