Director, Finance Ops & Risk Tech — Hybrid Cloud Leader

Morgan-Stanley; Town of Islip (NY); Hybrid; USD 149,000 - 183,000; Full time

Job summary

Morgan Stanley in New York seeks a Director, Finance Operations Risk Tech to architect and deliver enterprise-scale cloud-native platforms, market data infrastructure, and Agentic solutions across finance and risk functions.

You will lead cross-functional teams to define target-state architectures, governance controls, and data quality improvements, driving automation and cost efficiency while advancing enterprise risk management and compliance.

Qualifications

• Master’s degree in Computer Science, Computer Engineering, or related field.
• Two years of experience in the position offered or as an Associate, Analyst, Software Developer, Computer Systems Engineer, or a closely related occupation.
• Strong programming, data processing and cloud-native platform experience.

Responsibilities

• Lead architecture, design and delivery of enterprise-scale cloud-native platforms and data infrastructure across front-office, risk and finance.
• Drive platform modernization, automation, data quality and governance to reduce operational risk and improve efficiency.
• Define and govern architecture standards, platform frameworks and API-based consumption models.
• Oversee FRAME on DAL implementation, milestone orchestration and data lineage.

Skills

Object-oriented programming

Workflow management

Large data processing

System integration

Java Backend Development

Python application development

Scripting

Data structures

Agile Project Development

Linux/Unix app development

APIs and micro-services

Education

Master’s in Computer Science or related field

Job description

Morgan Stanley in New York seeks a Director, Finance Operations Risk Tech to architect and deliver enterprise-scale cloud-native platforms, market data infrastructure, and Agentic solutions across finance and risk functions.

You will lead cross-functional teams to define target-state architectures, governance controls, and data quality improvements, driving automation and cost efficiency while advancing enterprise risk management and compliance.