Assistant Director - QA Engineer at Moody's in Brussels, responsible for designing and implementing automated testing strategies across web applications and APIs, including end-to-end, API, and performance/load testing. The role leverages Cypress, TypeScript, Postman, Jest, and Jira, with preferred familiarity with AWS serverless services and AI concepts.
Java Software Engineer at Morgan Stanley's Firm Risk Management team, modernizing the Market Risk platform while handling BAU requests and production support. Core technologies: Java, Spring, RDBMS, JUnit, Shell/Python.
Data Analyst combines business analysis, data profiling, and source-to-target mapping for projects built on the Teradata Financial Services Logical Data Model (FSLDM). The role works across business stakeholders, data architects, and ETL teams to translate banking/financial requirements into analytics-ready datasets.
Software Engineer, C#/.NET at Moody's — develops cloud-based products and services on Azure and AWS, building scalable enterprise applications with C#, ASP.NET, SQL Server, and cloud infrastructure expertise.
A Solution Engineer at Moody's designs, builds, and supports scalable data, analytics, and AI solutions on the Databricks Lakehouse Platform, working with business stakeholders to modernize data infrastructure and drive responsible AI adoption.
Senior System Engineer leading design and delivery of mission-critical ArcGIS deployments supporting Defense and Intelligence operations across complex secure environments. Day-to-day work involves architecting enterprise geospatial systems, deploying ArcGIS across cloud, on-premises, and hybrid infrastructures, troubleshooting advanced deployments, and guiding customers on high availability and p
Senior Full Stack .Net Engineer at Thomson Reuters builds tax compliance software on AWS, extending a monolithic system into microservices and APIs while maintaining legacy systems. Core technologies: .NET, ASP.NET, Angular, SQL Server/PostgreSQL, AWS (EC2, S3, Lambda, RDS), Docker/Kubernetes, GitFlow, CI/CD, and AI developer tools.
Data Engineer at Moody's builds scalable data pipelines using Apache Spark (Scala/Python) on Databricks (AWS), handling large-scale data processing, ETL workflows, graph analytics, and entity resolution for Moody's risk assessment platform.
Senior QA Engineer at Moody's who designs and executes automated test frameworks for HR platforms (SAP SuccessFactors, Workday), driving E2E, integration, API, and database testing with Playwright and Java/TestNG, while leveraging AI-driven testing strategies to improve coverage, speed, and reliability.
Senior Cloud Platform Engineer owning the Azure estate for Thomson Reuters product engineering teams — operating AKS at production scale, managing Entra ID identity, enforcing compliance via Azure Policy, and leading multi-region deployments across global regions.
Finance experts apply domain knowledge to evaluate AI model outputs and develop rubrics for specialized areas like deal analysis and M&A assessments. The role involves collaborating with AI researchers to design training methods and benchmarks, with no prior AI experience required.
Senior hands-on Java developer in Morgan Stanley's FICFX front-office trading division, supporting Agency MBS trading systems. The role requires strong engineering fundamentals across Java, Scala, C++, Python, q/kdb, and relational databases, with deep domain knowledge of Agency pass-through pricing, TBA/specified pool trading, and hedging workflows. The VP-level position demands ownership of prod
The Technical Project Manager at Parametric (Morgan Stanley Investment Management) leads large enterprise-level projects, defines and drives the product and technology roadmap, and collaborates with engineering and business stakeholders to deliver portfolio solutions. The role requires advanced Agile/Scaled Agile experience, strong stakeholder management across technical and business teams, and fa
Product Owner supporting Agile squads in Morgan Stanley's Traditional Investment Products (TIPS) Platform Team within Wealth Management, managing initiatives across the program development lifecycle for products like mutual funds, 529 plans, and Unit Investment Trusts. Core technologies include Agile methodology, Microsoft Office/Excel, and financial product domain expertise.
The Vice President - Software Engineer (Backend) at Morgan Stanley designs and builds production-grade backend services and APIs in a fintech environment, owning end-to-end service lifecycle from design through deployment and operations. The role requires strong proficiency in Java and Python, Spring Framework, distributed systems, and event-driven architectures, with 10+ years of relevant experie
An MBSE Solution Architect at Dassault Systèmes designs Model-Based Systems Engineering solution architectures that support customers' Virtual Twin Experiences and AI-powered generative initiatives, leading deployment and adoption across aerospace, defense, rail, data centers, and other industries. The role blends consulting expertise in enterprise architecture, requirements engineering, systems m
A VP-level AI Engineer at Morgan Stanley builds autonomous multi-agent systems using LLMs and reasoning models, designing agent orchestration, calibration scoring, and guardrails, while collaborating across divisions on GenAI platform innovation and cloud adoption roadmaps.
VP-level engineering leader at Morgan Stanley who designs and delivers scalable backend and Generative AI platforms for the firm's enterprise applications, integrating LLMs, RAG, agents, and related technologies into production systems.
An Engineering Manager for Data & Platform Engineering at Morgan Stanley's Cloud and Platform Security team, leading the design and delivery of large-scale data pipelines, platforms, and data products that support high-volume ingestion, processing, analytics, and observability.
Staff Software Engineer at Moody's designs, codes, and leads delivery of scalable AI platforms and intelligent applications that bring emerging AI capabilities into production across partner ecosystems. The role combines deep hands-on backend engineering with enterprise AI application development, working with LLMs, RAG, agentic workflows, MCP/A2A protocols, and cloud-native services on Azure, AWS
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