Data Management Analyst

Job description

Tasks

• First point of contact for data support for portfolio managers, researchers, traders, engineers and data scientists across the organization
• Responsible for the onboarding and integration of various financial and alternative data
• Development and implementation of data pipelines using industry standard and proprietary technologies; definition and optimization of data models, schemas and workflows with engineering teams
• Proactively monitor and prevent data quality issues before they impact downstream users; promote data quality management with engineers
• Manage and enhance security master content and data lineage tools to ensure data accuracy and completeness
• Management of market data authorizations, improvement of usage monitoring, analysis of usage patterns and optimization of costs
• Curation and maintenance of a metadata set and knowledge base; promotion of 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
• Strong understanding and ability to extract and deliver high quality analysis, with strong analytical mindset and accountability for results
• Strong written and verbal communication skills

Desired requirements

• Working knowledge of data modeling, data warehousing, Linux/UNIX, SQL; 3+ years experience preferred
• Familiarity with one or more relevant database technologies, e.g. Apache Kudu, PostgreSQL, Snowflake etc.
• Experience with large and unstructured data sets
• Practical experience with financial data providers and good understanding of market data structures
• Data management skills with proven ability to work effectively across different teams and seniority 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 get involved 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
• Empathetic and collaborative; able to build and maintain close working relationships with quantitative researchers, technologists, traders and senior business people
• Confident communication; able to argue a point succinctly and deal positively with conflicting views

We offer

• Equal opportunities and an inclusive working environment
• Market-leading benefits and flexible working environment
• Financial and non-financial rewards
• Opportunities for personal and professional development
• Support for community activities and volunteer work
• Comprehensive benefits package, including competitive salaries, flexible working hours, life and long-term disability insurance; group life insurance; critical illness; enhanced parental leave and long-term service leave