Job Description
JDevelop, deploy, and maintain scalable machine learning models and analytical workflows using Databricks, Apache Spark, and cloud-based data platforms.
Partner with financial domain stakeholders to understand business challenges related to risk, compliance, fraud, lending, investments, and customer analytics.
Perform hands-on data exploration, feature engineering, statistical analysis, and modeling using Python, SQL, and Spark.
Collaborate with data engineering teams to build reliable data pipelines and ensure high-quality, production-ready datasets.
Communicate complex technical findings to non-technical audiences; present actionable insights to business leaders.
Apply deep financial services expertise to ensure models meet regulatory expectations (e.g., model documentation, audit, transparency, fairness).
Optimize workflows for performance and cost efficiency within Databricks and cloud environments.
Design experiments and evaluate model perfo...