VP, Operational Intelligence & Risk Analytics

Morgan Stanley; Seattle (WA); Hybrid; USD 115,000 - 225,000; Full time

Job summary

Morgan Stanley's Parametric Investment Management team seeks an Operations Vice President (Operational Intelligence) to lead risk analytics within Parametric Operations. You will partner with investment operations leadership to measure, monitor, and improve daily processes using data, trends, and metrics to elevate risk awareness and strengthen controls.

The role blends operational risk discipline with data-driven analysis, requiring strong collaboration with technology, risk, and business

Qualifications

• Bachelor’s degree in Finance, Accounting, Business, Economics, or related field.
• 7+ years in investment operations or risk/controls.
• Experience designing KRIs with data signals.
• Ability to influence across Operations, Risk, IT and Leadership.
• Experience with automation and platform changes.

Responsibilities

• Design and monitor KRIs aligned to material risks and processes.
• Develop automated control monitoring using system data.
• Analyze risk, control, process relationships to identify interdependencies.
• Perform adverse scenario analysis for critical workflows.
• Serve as escalation point for Parametric Investment Operations.

Skills

Operational risk

Investment operations

Data analytics

Stakeholder influence

Executive communication

Education

Bachelor’s degree in Finance, Accounting, Business, Economics, Operations, Risk Management, Data Engineering, Data Analytics, Information Systems and Analytics, or related field

Tools

SQL

Tableau

Power BI

Alteryx

Python

Job description

Morgan Stanley's Parametric Investment Management team seeks an Operations Vice President (Operational Intelligence) to lead risk analytics within Parametric Operations. You will partner with investment operations leadership to measure, monitor, and improve daily processes using data, trends, and metrics to elevate risk awareness and strengthen controls.

The role blends operational risk discipline with data-driven analysis, requiring strong collaboration with technology, risk, and business