Data Management Analyst

As a data management analyst, you will use your specific and general skills to support data that is used across compinvestment management teams. On some projects you will act as a subject matter expert, providing support and delivering high quality data analysis and quality assurance.

You will be working in a team that is responsible for investment data governance, financial and alternative data quality assurance, security master content and data lineage. The team is dedicated to creating a better data experience for our investment teams and entails learning the details of various vendor data sources we use. The role offers ample chances to create a distinctive mark in our ongoing efforts to improve companies' investment data estate by building a state-of-the-art data platform.

The Team

The Data Management team is a team that is part of the companies' Data Science, comprising of analysts responsible for the management and maintenance of the companies' security master content, identifier mapping capabilities and data cleansing infrastructure. The team strives to contribute towards building a robust data management framework, including performing data analysis, building data dashboards, and implementing an optimized on-going data management process.

Responsibilities and Skills

We strive to hire only the brightest, best and most highly skilled, who are passionate about data and technology.

Responsibilities

• Liaise with portfolio managers, research teams, execution, engineers, and data scientists from across the firm and serve as first level data support
• Assist with enhancements, management, and maintenance of company security master content and identifier mapping capabilities
• Support the curation and integrity of numerous varied data sets, financial and non-financial, and structured and unstructured in nature
• Perform descriptive data analysis in order to plan and verify integration targets; understand and verify data characteristics including data shape, valid values and ranges, outliers, overall quality
• Implement and maintain metadata documentation, data glossaries and data dictionaries
• Identify data integrity gaps and required root cause remediation
• Catalogue vendor data and metadata related to company  investment data services
• Curate and present relevant data analysis and technical documentation to build and maintain an updated, accurate and accessible knowledge store.

Essential

• Experience with data and data wrangling, preferably in a finance or finance-related firm
• Programming skills in Python and SQL
• Familiarity with data from a financial data aggregator(s) (e.g. Refinitiv, FactSet, S&P, IHS, Bloomberg) preferred
• Demonstrate evidence of strong analytical and communication skills, both written and oral

Advantageous

• Working knowledge of databases, Linux / UNIX, Git, Jira is preferable
• Familiarity with one or more relevant database technologies e.g. Oracle, MongoDB
• Experience working with large datasets

Personal Attributes

• Strong academic record and higher education degree with high mathematical and computing contend e.g. computer science, mathematics, finance
• Hands-on attitude; willing to get involved with data and projects across the firm
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, technologist, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views.