About the company
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.
Job Summary
WHAT YOU WILL DO
šDeliver end-to-end data-driven product incubation by collaborating with Product Management to gather and prepare data/features, analyze data using programming/statistical languages (e.g., R, Python), generate insights, and select and deploy Machine Learning models to address business opportunities. šInteract cross-functionally and make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) through effective presentation of findings to various stakeholder levels using clear data visualizations. šConduct analysis including data gathering, requirement specification, data processing, ongoing reporting deliverables, and presentations. šProcess, cleanse, and verify the integrity of data used for analysis. Mine data to uncover important information and insights, and present results in a clear and concise manner. šSolve complex, non-routine analytical problems using advanced analytical methods as needed. šBuild and prototype analytical pipelines iteratively to generate insights at scale. šDevelop in-depth knowledge of the companyās data structures and metrics, and advocate for necessary changes to support product development. šEnsure strict adherence to development and quality standards. šWrite clear and concise model documentation and support findings with sound reasoning. šShare best practices and case studies to help improve overall data literacy across the team. šCollaborate with Product Management and Engineering teams to drive product development.
REQUIREMENTS
šDegree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience. š3ā5 years of experience in analytics or a related field. šStrong expertise and hands-on experience in statistical analysis, machine learning modeling, and data visualization. šDemonstrated experience working with large and complex datasets. šFluent in SQL, R, and Python. šFamiliarity with BI tools such as Qlik, Tableau, and Metabase. šDemonstrated leadership and self-direction; willingness to teach others and learn new methods.
The future of finance is here ā whether youāre interested in blockchain, cryptocurrency, or remote web3 jobs, thereās a perfect role waiting for you.
