What is IM Data Management team responsible for?

The role of the IM Data Management team is to establish ownership and oversight along with a common and centralized view of Investment Management data to support both the functional and Enterprise level. A Sr. Business Data Analyst within the IM Data Management team will act in a senior level individual contributor role focused on supporting the ongoing maintenance and stewardship of Investment Management owned data as well as projects looking to acquire the data. The position will require a strong understanding of how data is sourced, organized and managed within Investment Management systems and the Enterprise.

What are the ongoing responsibilities of Sr. Business Data Analyst?

Supports function of data maintenance and stewardship of Investment Management owned data, where specific responsibilities include:

- Ensures metadata, reference documentation, and data flows are accurate and up to date

- Designs and implements process improvements and workflows to improve data quality and assist in the delivery of timely, accurate, and complete data to the business

- Monitors data quality controls and release controls for assigned data elements

- Ensures assigned data elements are in adherence with enterprise defined data governance standards and best practices

Supports production issue resolution process for Investment Management owned data and systems, where specific responsibilities include:

Sourcing index constituent data from 3rd party data sources followed by validating and normalizing the data for reporting / Analysis.

- Identifies and reports data quality issues, related to uniqueness, integrity, accuracy, consistency, and completeness in a timely fashion and works to resolve those impacting assigned data elements

- Researches data quality issues through detailed analysis, data profiling, and data mining

- Collaborates with business and technology partners to manage and resolve identified data quality issues

Supports function of project support for data acquisition or new enhancement requests, where specific responsibilities include:

- Acts as the data SME and partners with business SME's to understand and document data requirements, including data quality and data usage needs

- Captures metadata that is accurate, complete, consistent, and of use to the business

- Participates in testing of data related changes

- Transitions data into ongoing maintenance and stewardship oversight function

What ideal qualifications, skills & experience would help someone to be successful?

- Bachelor's Degree, preferably in Finance or Management Information Systems or Financial engineering

- Higher education or relevant industry certifications like CFA or FRM preferable

- 6 to 8 years relevant work experience in the Asset Management Industry, in particular working in the front office with exposure to FOF, ETF- s, investment, performance and risk data

- Data Quality, Data Governance and/or Data Management experience required

- Database and SQL (Structured Query Language) experience required

ADDITIONAL DESIRABLE QUALIFICATIONS

- Knowledge of Data Management applications

- Knowledge of Enterprise data architectures

- Knowledge of Business Intelligence, Data integration and Data Mining applications

- Knowledge of 3rd party perf risk applications like Factset, POINT, BARRA etc.

- Knowledge of investment management data, in particular performance and risk, FOF, ETF- s, and external market data

- Knowledge of Data Management and Data Governance and technology toolsets supporting these areas, such as in the areas of data modeling, data mining, data cleansing, data integration, etc.

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