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Skills and Competencies 4-6 years of relevant experience in FP&A, Corporate Finance, Accounting, Transaction Services, or Equity Research, with demonstrated experience analysing and interprerting enterprise-level…
Senior data scientist at Moody's building and deploying deep-learning models to assess financial risk, using Python/R and cloud platforms to improve credit analytics and decision-making.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the…
Analyzes cloud and SaaS spending, reconciles invoices, and builds cost reports using Microsoft Fabric, SQL, and BI tools to optimize IT budgets for a global risk assessment firm.
Designs and builds interactive, coded prototypes for insurance analytics products, integrating GenAI features and translating complex data into intuitive user experiences while collaborating with cross-functional teams.
Leads design and mentorship for large-scale data pipelines and graph-based analytics using Spark, Databricks, and cloud platforms, ensuring performance, quality, and team growth.
Designs and maintains MuleSoft integrations to connect Moody's enterprise systems, using Java, DataWeave, and cloud platforms like AWS or Azure.
Leads a data engineering team to build and evolve a core data platform, delivering high-quality, governed data products for AI and analytics while balancing speed, cost, and scalability.
Develop and refine generative AI prompts to automate financial document analysis, supporting clients with AI-driven insights and solutions in a collaborative team environment.
Leads the design and delivery of scalable, cloud-native full-stack solutions for financial decision-making platforms, using TypeScript, React, Node.js, AWS, and AI-driven architectures.
Designs and maintains scalable data pipelines in a Databricks-based platform, transforming raw data into reliable analytics for Moody's financial risk assessments using Python, PySpark, Scala, and cloud tools.
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