Middle Office Data Engineering & Quality_Associate_Core Services at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality, Data Management, Data Validation, Data Cleansing, Data Governance, Investment Management, Trade Lifecycle, Financial Products, Process Improvements, Data Quality Tools, Business Intelligence Tools, Analytical Skills, Root Cause Analysis, Data Lineage, Exception Handling, Process Optimization

Industry

Financial Services

Description

Own data quality framework for a number of functions ensuring accurate and timely capture of portfolio level accounting data across key data sets. 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. 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. Deliver and manage KPI dashboards, trend analysis, and exception reporting to senior stakeholders and data governance forums 3-7 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. PanDQ, Informatica, PEGA Exception Management) & Business Intelligence Tools (e.g. Alteryx, PowerBI, etc.. 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. 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. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

Own the data quality framework for various functions, ensuring accurate and timely capture of portfolio-level accounting data. Develop and maintain data quality controls and support the research and triage of data exceptions.