Senior Machine Learning Engineer & Data Analyst - Financial Risk Scoring

As a Senior Machine Learning Engineer & Data Analyst specializing in Financial Risk Scoring at Range, you will play a pivotal role in leveraging cutting-edge technologies to enhance risk assessment models in the web3 and blockchain space. You will collaborate with cross-functional teams to develop and implement machine learning algorithms that analyze and predict financial risks associated with decentralized finance (DeFi) projects. What you'll do • Design and develop machine learning models to assess financial risk in blockchain-based applications. • Analyze large datasets from various blockchain sources to derive insights and improve risk scoring methodologies. • Collaborate with product teams to integrate risk assessment tools into existing platforms and services. • Conduct A/B testing and performance tuning to optimize model accuracy and efficiency. • Prepare detailed reports and visualizations to communicate findings to stakeholders. • Stay updated with the latest trends in machine learning, blockchain technology, and financial regulations. What we're looking for • Proven experience as a Machine Learning Engineer or Data Analyst, particularly in the financial sector. • Strong proficiency in programming languages such as Python or R, with experience in ML libraries (e.g., TensorFlow, PyTorch). • Familiarity with blockchain technology and decentralized finance (DeFi) concepts. • Experience in data preprocessing, feature engineering, and model evaluation techniques. • Excellent analytical skills with the ability to interpret complex data and provide actionable insights. • Strong communication skills, with the ability to present technical concepts to non-technical stakeholders effectively. This is a BlockJobs summary of the role. See the original listing to apply.