Data Management Analyst

Job description: Data Management Analyst

Tasks

• First level of data support for portfolio managers, researchers, traders, engineers and data scientists across the organization
• Onboarding and integration of new financial and alternative data sets
• Design and build ETL pipelines using industry-standard and proprietary technologies; define and optimize data extraction, transformation and loading
• Proactively identify and resolve data quality issues impacting downstream users; store data provenance
• Collaborate with data engineers and data scientists to ensure data accuracy and consistency across systems
• Maintenance and improvement of data content and catalog mapping tools; ensuring data accuracy and optimal costs
• Data cleansing; improvement of usage patterns and optimization of cost attribution and change models
• Clean up and maintain a 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
• Excellent attention to detail with demonstrated ability to produce high quality analysis; strong analytical skills and accountability for results
• Strong written and verbal communication skills

Advantageous requirements

• Working knowledge of data modeling, data warehouse, Linux/UNIX
• Familiarity with one or more relevant database technologies, e.g. Apache Ignite, PostgreSQL, Snowflake etc.
• Experience with large and unstructured data sets
• Practical experience with financial data providers and understanding of market data structures
• Experience with SQL and 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, mathematical finance
• Hands-on experience; willing and happy to work on 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, traders and senior business people
• Trustworthy communicator; able to argue a point succinctly and deal positively with conflicting views

We offer

• A culture based on the principle that everyone makes a unique contribution
• A diverse and inclusive working environment where everyone counts
• A work environment where inclusion is fundamental and deeply embedded in our culture and values