Data Management Analyst

Job description

About the job

Tasks

• First level of data support for portfolio managers, researchers, quants, engineers and data scientists across the organization
• Management of the onboarding and integration of various financial and alternative data sets
• Design and build ETL pipelines using industry-standard technologies; define and optimize data models, schemas and workflows with engineering teams
• Data quality and production support; proactively identify and mitigate data quality risks before they impact downstream users; drive data quality management maturity with engineers
• Manage and enhance security master content and data lineage tools to ensure data accuracy and completeness
• Administration of data management permissions, improvement of usage transparency, analysis of usage patterns and optimization of costs
• Curate and maintain a metadata catalog and knowledge base and promote automation of daily tasks

Requirements

Essential requirements

• Experience with data ingestion, management and analysis, preferably in the financial industry
• Strong knowledge of Python and SQL
• Expertise in ETL tools and technologies
• Deep knowledge of financial data standards with proven ability to produce high quality analysis, strong analytical mindset and accountability for results
• Strong written and verbal communication skills

Advantageous requirements

• Working knowledge of data modeling, Data Lakehouse, Linux / UNIX, Git; 3+ years preferred
• Familiarity with one or more relevant database technologies, e.g. Apache Kudu, Postgresql, Snowflake etc.
• Experience with large and unstructured data volumes
• Practical experience with financial data standards and understanding of market data structures
• Data line management skills with proven ability to work effectively across different teams and hierarchical levels

Personal characteristics

• Strong academic background and university degree with high mathematical and computational content, e.g. computer science, mathematics, finance
• Hands-on attitude; willing to engage in data projects across the organization
• Self-organized with the ability to manage time effectively across multiple projects and with competing business needs and priorities
• Strong interpersonal skills; able to establish and maintain close working relationships with quantitative researchers, technologists and traders as well as senior business people
• Trustworthy communication; able to argue a point concisely and deal positively with conflicting views

We offer

• A working environment that promotes equal opportunities
• A unique perspective that allows you to influence and shape decisions
• A culture in which everyone can grow and develop