VP of Operational Intelligence & Risk Analytics

Morgan Stanley; Boston (MA); Hybrid; USD 115,000 - 225,000; Full time

Job summary

Morgan Stanley Parametric is seeking an Operations Vice President (Operational Intelligence) to lead risk analytics within Parametric Investment Operations. You will measure and improve daily processes using data, trends, and metrics, elevating risk visibility and ensuring effective controls.

The role blends operational risk discipline with advanced data analysis, requiring collaboration with senior leaders and cross-functional teams in a fast-paced, regulated environment.

Qualifications

• Bachelor’s degree in Finance, Accounting, Economics, Operations, Risk Management, Data Analytics, or related field.
• Experience in investment operations, risk controls, governance, and data analytics.
• Ability to translate complex operational signals into actionable recommendations and communicate with executives.

Responsibilities

• Design, monitor, and report KRIs aligned to material risks and business processes.
• Develop automated control monitoring with data, thresholds, and anomaly detection.
• Collaborate with Technology and Operations to scale controls and testing.
• Analyze risk, control, process, and dependency relationships to identify concentration risks.
• Lead incident management, root cause analysis, and remediation of significant events.

Skills

operational risk

data analytics

stakeholder influence

KRI design

incident management

change leadership

executive communication

risk governance

Education

Bachelor’s degree in Finance/Business/Economics or related field

Tools

MS Office

SQL

Alteryx

Tableau

Power BI

Python

Job description

Morgan Stanley Parametric is seeking an Operations Vice President (Operational Intelligence) to lead risk analytics within Parametric Investment Operations. You will measure and improve daily processes using data, trends, and metrics, elevating risk visibility and ensuring effective controls.

The role blends operational risk discipline with advanced data analysis, requiring collaboration with senior leaders and cross-functional teams in a fast-paced, regulated environment.