Director, Finance Operations Risk Tech
AI in this role
Lead the architecture and delivery of enterprise cloud platforms, market data infrastructure, and agentic AI workflow solutions at Morgan Stanley.
Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
What you’ll do in the role:
Morgan Stanley Services Group, Inc. seeks an Director, Finance Operations Risk Tech in New York, New York to conduct the architecture, design, and delivery of enterprise-scale cloud-native platforms, market data infrastructure, and Agentic solutions. Drive platform modernization efforts that improve operational efficiency, developer productivity, model governance, and business process automation across front-office, risk, and finance functions. Work cross-functional projects for strategic platform initiatives. Partner across organizations to align delivery milestones, and business priorities while ensuring measurable outcomes such as workflow automation, improved data quality, reduced operational risk, and faster time-to-market. Collaborate closely with stakeholders to define target-state architectures for official End-of-Day (EOD) market data distribution. Lead analysis of current-state processes, identify control and data-quality gaps, perform risk assessments, and develop strategic solutions while supporting enterprise cost-efficiency and scalability objectives. Define and govern architecture standards, platform frameworks, and control models supporting FRAME Policy, Daily Marking Policy requirements, market input consistency and enterprise market data governance. Establish reusable design patterns for official EOD marking, milestone management, data lineage, entitlement controls, and API-based consumption models that can be consistently extended across asset classes. Lead the implementation of FRAME on DAL, enabling Risk Technology’s FrameHub platform to provide consistent, governed, and auditable official EOD marks consumed by enterprise Risk, Valuation, and downstream processes. Oversee development of FRAME APIs, milestone orchestration, DAL persistence services, and strategic integrations that improve data availability, simplify onboarding, and accelerate decommissioning of legacy market-data infrastructure. Guide engineering teams in the development and adoption of AI/Agentic solutions. Drive delivery of intelligent agents and workflow automation capabilities for model review document generation, evaluation and scoring workflows, governance controls, and software delivery lifecycle optimization. Manage and mentor engineering teams responsible for cloud-native platforms, market data services, and AI-enabled applications. Establish best practices in software engineering, solution architecture, DevSecOps, platform reliability, observability, and AI adoption while fostering technical excellence and leadership across multiple strategic initiatives. Establish engineering governance, SDLC controls, and production management practices that improve delivery predictability, system resiliency, audit readiness. Lead modernization initiatives. Support organizational growth and balance capacity against strategic priorities, business transformation programs, modernization initiatives, and AI platform. Telecommuting permitted up to 2 days per week.
What you’ll bring to the role:
-Requires a Master’s in Computer Science, Computer Engineering, or a related field.
-Requires two (2) years of experience in the position offered or as an Associate, Analyst, Software Developer, Computer Systems Engineer, or a closely related occupation
-Requires two (2) years of experience with the following skills:
- Object-oriented programming
- Workflow management
- Large data processing
- System integration
- User Interface development
- Automated and user testing
- Scripting
- Data structures
- Business related software development
- Software development life cycle
- Micro-services architecture
- Business Process Model and Notation, Decision Model and Notation solutioning
- Java Backend Development
- Relational and non-relational database
- Linux/Unix app development
- Agile Project Development
- Python application development and data processing
- Functional programming
- Data visualization
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $166,000 and $166,000 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.TBD
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
How we rate this
Director, Finance Operations Risk Tech at Morgan Stanley rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where api design was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Cloud Architecture, Data Governance, Risk Management, API Design, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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