We are currently seeking a senior/lead reference data Business Analyst to serve as Sr. Associate in our Data Management team.

This is a Business Analyst role and not an Operations role.

OVERVIEW:

Data Management team is responsible for ensuring accuracy, completeness and reliability of master and reference data related to companies, funds, securities, ownership, directors, executive compensation, company financials and cross-reference across multiple data vendors. This data is consumed in our client-facing data and analytics tools and research offerings.

RESPONSIBLITIES:

- Develop and maintain deep understanding of reference and master data sets mentioned above, vendor data, and underlying data architecture, processes, methodology, and systems

- Define business rules, transformation, standardization and processing logic, and technical requirements for data integration and enrichment projects

- Develop and maintain conceptual and logical data models

- Define test strategy and scenarios, and create test data and user acceptance criteria

- Define data quality rules based on business logic and data domain expertise

- Perform root-cause analysis of data issues, identify patterns, and provide solution to fix them systematically

- Act as a point of escalation and data domain expert for Data Operations team and data consumers

- Maintain business and technical metadata, user guides, and methodology documents

DESIRED EXPERIENCE AND QUALIFICATIONS:

Mandatory:

- Bachelors/Masters in Computer Science/Application, Engineering, Information Technology, Math, Statistics or relevant data technology field. MBA or progress towards CFA designation would be an added advantage.

- Minimum 3 years of recent experience as a Business Analyst, and overall 4 to 8 years of strong experience in functional and technical aspects of entity/instrument reference and master data is required.

- Strong hands-on programming and data analysis experience using SQL, VBA, Python or R

- Good understanding of data sourced from one or more data vendors such as Refinitiv/Lipper, Morningstar, - Bloomberg, S&P, Factset, ICE etc. will be an added advantage.

- Ability to fluently and effectively communicate and collaborate with global business and technical teams

- Should have eye to detail and analytical skills for conducting quality checks

- Ability to adapt and work in a fast-paced environment independently with little supervision

Good to have:

- SQL Certifications

- Capital markets domain related certifications

- Ability to design and develop robust automated test frameworks and prototypes in any programming language

We offer a hybrid work schedule of 3 days in office and 2 days work from home. Most offices have returned to working in-office