Enterprise Data Management Analyst
Conning Hartford, Connecticut, United States
Financial Services · 201-500 employees
About the role
The analyst will maintain enterprise-level data quality for market data elements such as security masters, corporate actions, and valuations. They will collaborate with internal teams and data providers to ensure data accuracy, consistency, and efficient flow across investment systems.
What they look for
Requirements
Candidates must hold a bachelor's degree in business or a related field and possess at least 3 years of data management experience within the financial industry. Strong analytical skills, proficiency in SQL and Excel, and the ability to work effectively in a collaborative team environment are required.
Full description
Conning is a leading global investment management firm with a long history of serving the insurance industry.
We develop customized investment strategies that address our clients’ unique objectives, requirements and tolerance for risk. We develop solutions by leveraging Conning’s risk management tools and utilizing a highly disciplined investment process that relies on fundamental analysis.
Summary:
Maintain data quality at an enterprise level for various market data elements including but not limited to security master, corporate actions, security valuations, asset classifications, and quality ratings for fixed income and equity securities. Work closely with both data providers and consumers to address issues and concerns regarding data accuracy, consistency, and completeness.
The position also provides exposure to all aspects of the security life cycle, including but not limited to trading, new issue set up, credit and quality ratings, portfolio compliance, corporate actions, and pricing.
Essential Responsibilities:
- Create, implement, and maintain master data management solutions that enable users to optimize system capabilities.
- Analyze and research SMF investment data, reconciling data between various sources and internal systems.
- Apply knowledge of end-to-end data processes to analyze, cleanse, and enrich master data elements, ensuring data flows efficiently and consistently between users and stakeholders.
- Partner with Risk Management, Portfolio Management, Performance Management, Clients, Investment Operations, 3rd party consultants and external auditors to support a wide range of production related issues.
- Liaison with all front office departments to identify data requirements and appropriate data source(s) to meet the need. Collaborate among internal teams to create and maintain standard taxonomies for critical enterprise-wide investment data such as asset classifications and quality ratings.
- Provide data governance and ensure data integrity by coordinating data management efforts across the organization.
- Troubleshoot issues related to master data management and identify opportunities for improving data management processes.
- Collaborate with IT when modifications to existing configuration are deemed necessary in the Enterprise Data Management tool.
- Support all vendor management related processes as needed.
Requirements:
- Bachelor's degree in Business or a related field
- Minimum of 3 years of data management experience, preferably in financial or investment management industry
- Ability to contribute to moderately complex aspects of a project
- High level of interaction with internal & external customers
- Strong organizational, verbal and written communication skills
- Detail oriented, analytical mentality with problem solving, research, and follow-up skills
- Ability to meet tight deadlines and multi-task
- Ability to work independently and collaboratively in a team environment
- Advanced prioritization skills and experience with agile methodology
- Advanced knowledge of finance/accounting data and systems
- Experience with straight-through process management and project management is a plus
Technical Skills:
- Advanced experience working with Microsoft Excel, Microsoft Teams and Microsoft SQL Query
- Intermediate knowledge of database architecture and design
- Intermediate experience with Bloomberg data is a plus
- Intermediate experience writing Oracle SQL code is a plus
- Basic experience using visualization tools (Power BI) is a plus
- Basic experience using Extract Transform Loads (ETL’s) is a plus
Conning is an equal opportunity employer. Our company embraces the principles of inclusion; our employees can bring the best version of themselves to work every day. We thrive in an environment where everyone’s voice is heard, every idea counts, and the differences of our employees are valued. We provide reasonable accommodations to those who need them.
If you are unable to complete this application due to a disability, contact us to ask for an accommodation or an alternative application process.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Applicants must exhibit a strong commitment to meet compliance obligations reflecting Conning's core values of honesty and integrity; must accept responsibility for compliance in each role and comply with all applicable rules, regulations, and legal requirements.
