- Professional
The Data Collection & Management team at CFRA is responsible for collecting and managing various forms of financial data. Our data is used by our in-house teams to generate products for our end customers – institutional investors, brokers and wealth managers, among others. We manage the automated ingestion of data, as well as collect information manually. Everything we do helps to ensure the highest levels of data quality, completeness and timeliness. We recognize that data is a critical asset to every organization, and we view ourselves as stewards of that asset for CFRA.
About You
When you encounter a problem, you think critically about the root cause and come up with suggestions for long term solutions. You also are constantly on the lookout for ways to improve our processes.
Key Responsibilities
- Execute the daily collection, cleaning, and validation processes of fund-related data to ensure accuracy and reliability.
- Monitor and perform quality assurance on data ingested via automated processes
- Identify and address errors, duplicates, or inconsistencies in datasets to maintain accuracy and integrity.
- Interact with a Scrum Team for identifying and resolving issues with automated processes
- Participate in expanding data collection efforts.
- Assist Assistant Manager/Manager in preparing comprehensive reports on incident reporting, Root Cause Analysis (RCA), fixes, and work in progress on key metrics and insights.
- Respond to data-related inquiries from Senior Analyst and your inline Manager.
- Maintain documentation of data sources, processes, and methodologies.
- Work closely with data engineers to establish and optimize data pipelines.
- Bachelor’s or master’s in science, Technology, Engineering, Mathematics, Finance or Accounting
- 2-4+ years' experience in funds/indexing industry within data, analytics or finance-related role
- Familiarity with ETFs, Mutual Funds and/or other financial instruments
- Detail-oriented, analytical nature
Skills, Knowledge and Expertise
- Hands-on experience working with development teams on ETL operations.
- Knowledge of SQL.
- Experience in managing large datasets.
- Excellent communication and interpersonal skills.
- Problem-solving and decision-making capabilities.
- Ability to work independently, think out of the box and constantly chase quality.
Candidates must be fully available for this shift.
Benefits
- 21 days of Annual Vacation
- 8 sick days
- 6 casual days
- 1 paid Volunteer Day
- Medical, Accidental & Term Life Insurance
- Telehealth, OPD
- Competitive pay
- Annual Performance Bonus