We have Senior Software Engineer position open at Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. About Finance Technology: Finance Technology at Morgan Stanley delivers innovative solutions for regulatory and financial reporting, general ledger, P&L calculations, and analytics. The team leverages advanced data platforms and modern engineering practices to support the firm’s finance division, ensuring accuracy, compliance, and strategic business insights. Responsibilities: • Lead the design, development, and delivery of scalable, enterprise-grade financial modelling, reporting and analytics solutions. • Architect and implement robust software systems using Java, Scala, Python, Angular, and other modern technologies, ensuring best practices in SDLC, code quality, and performance. • Collaborate with business stakeholders, product owners, and cross-functional teams to define requirements, evaluate tools, and deliver innovative solutions aligned with business goals. • Drive the adoption of GenAI, Copilot, and AI-driven development practices to enhance automation, reporting, and developer productivity. • Mentor and lead a high-performing team of engineers, fostering a culture of technical excellence, continuous learning, and innovation. • Manage stakeholder relationships, communicate project status, and proactively address risks and challenges. • Promote agile methodologies, automated testing, and CI/CD pipelines for efficient and reliable software delivery. • Stay current with emerging technologies and industry trends, and champion their adoption where relevant Required Technical Skills: • 10+ years of experience in software engineering, with a strong background in full stack development (Java, Python, Scala, Angular and related technologies). • Deep understanding of databases including Snowflake, data structures, and query languages • Deep understanding of data structures, algorithms, design patterns, and modern SDLC practices. • Proven experience building and scaling enterprise-level applications, preferably in cloud environments. • Proficiency in additional languages and frameworks and ability to quickly learn new tech stacks as needed. • Demonstrated experience leveraging GenAI, Copilot, or AI/ML tools for software development, automation, or reporting. • Strong problem-solving, analytical, and communication skills. • Experience leading and motivating high-performing teams and managing stakeholder relationships in a global environment. • Business acumen and prior exposure to finance, investment banking, or related domains is an advantage. Additional Skills (Good to Have): • Proficiency in Python and ability to quickly learn new tech stacks as needed • Familiarity with Power BI, Apache Airflow, OLAP tools, and workflow automation. • Experience with tool evaluation, POC delivery, and greenfield project leadership. • Passion for innovation, continuous learning, and delivering business impact through technology. Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.