below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$206,587–$273,452.
Based on 240 similar postings.
Employer
About Morgan Stanley
Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services
Morgan Stanley currently has
39 open roles
on FindRole.
Listed pay typically runs
$154,000–$215,000
across 33 roles with salary data.
The Director, Finance Operations Risk Tech joins the Morgan Stanley Services Group to lead the architecture, design, and delivery of enterprise-scale cloud-native platforms and market data infrastructure. This role focuses on platform modernization to improve operational efficiency, model governance, and business process automation across front-office, risk, and finance functions. Key responsibilities include developing Agentic solutions, managing engineering teams, and establishing standards for market data distribution and data lineage. The position requires expertise in Java, Python, micro-services architecture, and relational or non-relational databases. Candidates must possess skills in object-oriented programming, workflow management, and the software development life cycle. The work addresses critical technical problems regarding official End-of-Day market data consistency, risk assessments, and the implementation of FRAME on DAL to ensure auditable marks for enterprise valuation processes.
Design and deliver enterprise-scale cloud-native platforms, market data infrastructure, and Agentic solutions.
Drive platform modernization to improve operational efficiency, developer productivity, and business process automation.
Define target-state architectures for official End-of-Day market data distribution and governance.
Lead the implementation of FRAME on DAL to provide consistent and auditable official EOD marks.
Oversee the development of FRAME APIs, milestone orchestration, and DAL persistence services.
Guide engineering teams in developing and adopting AI/Agentic solutions for workflow automation and model review.
Establish engineering governance, SDLC controls, and production management practices to improve system resiliency.
Manage and mentor engineering teams responsible for cloud-native platforms and AI-enabled applications.
What we're looking for
Requires a Master’s in Computer Science, Computer Engineering, or a related field.
Requires two years of experience in the position offered or as an Associate, Analyst, Software Developer, Computer Systems Engineer, or a closely related occupation.
Requires two years of experience with object-oriented programming, workflow management, and large data processing.
Requires experience with system integration, user interface development, automated and user testing, and scripting.
Requires experience with data structures, business-related software development, and the software development life cycle.
Requires experience with micro-services architecture, BPMN, and DMN solutioning.
Requires experience with Java, backend development, relational and non-relational databases, and Linux/Unix app development.
Requires experience with Agile project development, Python application development and data processing, functional programming, and data visualization.
Agentic AI
AWS
GCP
Azure
Cloud-Native Architecture
Infrastructure as Code
Identity and Access Management
Application Security
Cloud Security
Data Protection
Chaos Engineering
Site Reliability Engineering
Observability
Incident Response
Disaster Recovery
Business Continuity
High Availability
CISSP
CISA
CRISC
Open FAIR
Distributed Systems
SQL
Python
Fraud Analytics
Transaction Monitoring
Risk Scoring
Risk Decisioning
Program Management
WCAG) 2.2 AA
Data Science
Information Systems
Fraud Technology
Governance
Performance Metrics