Data Analyst (与信戦略/ポテンシャル採用) - Merpay
- محلل بيانات
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- 06/12/2024
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At Mercari, Inc., launched in 2013 by our founder Shintaro Yamada, our flagship marketplace app "Mercari" has revolutionized how goods and values circulate, contributing to a richer society despite limited global resources. Our belief is to mobilize every possible value, not limited to physical items or money, enabling everyone to fulfill their potential and provide options that contribute to people and communities.
At Mercari, opportunity is not dependent on background. Our commitment to inclusion and diversity is integral; it allows individuals from all walks of life to freely generate value. Explore our and to understand our ethos and how we ensure equality in our hiring process.
Become a strategic leader in our newly launched credit business and all-encompassing credit ventures at Merpay since November 2022. You'll play a key role in evaluating risk-return outcomes, fortifying our portfolio's revenue control, developing credit strategies using unique data-driven models, and planning efficient debt recovery.
This role not only allows you to be at the forefront of leveraging AI in credit assessment—recognized by the Minister of Economy, Trade and Industry—but also offers a chance to shape smoother societal operations through innovative financial services. With over 23,000,000 users on the Mercari platform monthly and a strong foundation, your work will make a significant impact.
Required: Passion for our mission and values, experience in data analysis for business and operational decision-making (any industry), proficiency in data analytics tools such as SQL, R, Python, SAS. View full language proficiency details .
Preferred: Experience in credit risk management within the financial sector, expertise in statistical modeling, machine learning, and financial engineering.
We value logical thinking, ownership of one's work, and a relentless drive to perform at the best of one's abilities. If you share our values and are ready to shape the future of commerce through data, !