Responsibilities:

📍Design and develop Trust & Safety machine learning and AI models to optimize across fraud, crypto exchange trading, and anti money laundering. 📍Distill complex models and analysis into compelling insights for our stakeholders and executives. 📍Analyze large and complex datasets to identify patterns for feature engineering, trends, and anomalies and develop predictive models that can be used for decision-making. 📍Collaborate with software developers to design and implement machine learning systems that can improve the speed and accuracy of the machine learning models. 📍Monitor and analyze the performance of our machine learning models and systems and make necessary improvements to ensure their effectiveness. 📍Stay up-to-date with data science tools and methodologies in technology and financial domain. 📍Perform root cause analysis and resolve production and data issues.

Minimum Qualifications:

📍Bachelor's degree in computer science, data science, mathematics, or a related field. 📍4+ years of work experience in analytics and data science domain focusing on financial services-related business problems. 📍3+ years of experience deploying statistical and machine learning models in production. 📍2+ years of experience in integrating data science models into applications. 📍Proven experience in developing and deploying ML models at scale, with a deep understanding of model lifecycle management. 📍Knowledge and experience of crypto exchange trading, financial markets, or banking. 📍Extensive knowledge of ML frameworks (Sagemaker or ML Flow) , libraries, data structures, data modeling, and software architecture.

Looking for your next challenge? The world of crypto offers exciting roles in blockchain development, web3 innovations, and remote opportunities.