Apply on Employer Site

E*TRADE from Morgan Stanley · 1 month ago

VP, Team Manager, P4, Core Services : Job Level - Vice President

RMZ Ecoworld - Campus 6A

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

Morgan Stanley is a global leader in financial services, and they are seeking a strategic, data-driven Vice President to lead the build and evolve a best-in-class Data Engineering and Quality function. This role is pivotal to ensuring data accuracy and operational readiness across the firm's books and records in support of various clients and investment teams.

BankingFinanceFinancial Services

Responsibilities

Own data quality framework for Reference Data and Core Transaction Processing Data ensuring accurate and timely capture of portfolio level accounting data across key data sets

Strong people management skills to ensure smooth functioning of the DEQ team

Develop, maintain, and operationalize data quality controls on portfolio transaction, holding, and valuation datasets

Maintain robust data validation and exception monitoring processes to ensure completeness, accuracy, and timeliness of portfolio accounting data

Support research and triage of data exceptions, enabling scalable issue identification, mitigation and/or resolution, and escalation

Provide high-touch leadership and accountability of complex and sensitive data sets, including those powering performance, reporting, and regulatory processes

Ensure proactive, high-quality outcomes for clients and investment teams, and other data consumers of MSIM's books and records

Build and implement data-driven platforms, dashboards, and automated controls

Maintain supervisory oversight on team activities, risk, department and firm initiatives

Deliver and manage KPI dashboards, trend analysis, and exception reporting to senior stakeholders and data governance forums

Qualification

Data quality principlesData validationData governanceInvestment managementData quality toolsBusiness Intelligence ToolsData-driven platformsPeople managementAnalytical skillsAI savvy

Required

10+ years of experience in Investment Operations, Data Management, or Middle Office data and analytics at a global asset manager or financial services firm

A strong understanding of data quality principles, including accuracy, completeness, consistency, and timeliness

Proficient in data validation, data cleansing, and data governance

Experience in investment management across pooled vehicles, SMAs, and institutional mandates

Demonstrated understanding of investment and trade lifecycle, with focus on portfolio tax lot level recordkeeping inputs (reference data, marker trades, prices, corporate actions, accruals, amortization, etc.)

Familiarity with a full range of financial products, including public and private instruments, and asset classes (e.g., equity, fixed, derivatives, loans)

AI savvy, and experience with leading process improvements and transformation

Experience with data quality tools, dashboards, APIs to support real-time data validation and exception handling

Strong technology (pro dev and low code) experience, with a track record of developing data-driven platforms, dashboards, and automated controls

Strong analysis and analytical skills to perform root cause analysis, data lineage, exception handling, and process optimization

Demonstrated ability to synthesis data for MI reporting on key performance indicators and other portfolio accounting data as inputs into middle office data health and identifying areas for operational optimization

Experience with Data Quality platforms (e.g. Pan DQ, Informatica, PEGA Exception Management) & Business Intelligence Tools (e.g. Alteryx, PowerBI, etc)