Director, Finance Ops Risk Tech — Hybrid Platform & AI

Morgan Stanley; New York (NY); Hybride; USD 149 000 - 183 000; Plein temps

Avantages offerts par ce poste

Telecommuting 2 days/week

Résumé du poste

Morgan Stanley is seeking a Director, Finance Operations Risk Tech in New York, NY to architect and deliver cloud-native platforms and market data infrastructure. You will drive modernization, improve data quality, and automate workflows across front-office, risk, and finance.

You’ll lead cross-functional efforts, define standards, and govern control models for enterprise data governance. The role requires a Master’s degree and 2 years of relevant experience, with skills in Java/Python, data

Qualifications

• Master’s degree in CS/CE or related field required.
• Two years of experience in the offered role or related positions.
• Experience with OO programming, workflows, data processing, and system integration.

Responsabilités

• Architect, design, and deliver enterprise-scale cloud-native platforms.
• Drive platform modernization to improve efficiency and governance.
• Lead FRAME/DAL related APIs, orchestration, data lineage, and controls.
• Collaborate with stakeholders to align milestones with business priorities.

Connaissances

Object-oriented programming

Workflow management

Large data processing

System integration

Java Backend Development

Python

Linux/Unix app development

Agile Project Development

Data visualization

Formation

Master’s in Computer Science or related field

Outils

Java

Python

Micro-services

Relational databases

NoSQL databases

APIs

DevSecOps

Description du poste

Morgan Stanley is seeking a Director, Finance Operations Risk Tech in New York, NY to architect and deliver cloud-native platforms and market data infrastructure. You will drive modernization, improve data quality, and automate workflows across front-office, risk, and finance.

You’ll lead cross-functional efforts, define standards, and govern control models for enterprise data governance. The role requires a Master’s degree and 2 years of relevant experience, with skills in Java/Python, data