Reference Data Analyst
⚲ Warszawa
20 000 - 30 000 PLN (PERMANENT)
Wymagania
- Data analysis
- Reference Data
- Data quality
- SQL
- Python
- AI
- Communication skills
- Analytical skills
- Accountability
- Attention to detail
- Problem-Solving skills
- Equties (nice to have)
- Bonds (nice to have)
- Options (nice to have)
Opis stanowiska
O projekcie:
Reference Data Analyst
We are looking for a Reference Data Operations Analyst to support the quality and maintenance of critical financial data used across trading, risk, and operational processes.
This is an operations- and business-focused role, not a software development position. You will work with reference and security data, investigate data issues, ensure compliance with data standards, and help improve processes through SQL, Python, AI, and automation.
Wymagania:
- 3–4+ years of relevant experience in reference data, securities operations, fund administration, or a similar financial environment.- Strong understanding of data quality and operational controls.- Confident working with SQL and discussing query results.- Experience with Python and automation is highly desirable.- Interest in AI and emerging technologies.- Knowledge of equities, bonds, and options is beneficial.- Strong communication, analytical, and problem-solving skills.- High level of ownership, accountability, and attention to detail.- Ability to identify issues, challenge data quality, and work effectively with business and technology stakeholders.
Codzienne zadania:
- Maintain and validate security and reference data across financial instruments.
- Investigate and resolve data quality issues and exceptions.
- Analyze financial datasets and confidently work with SQL queries.
- Support automation initiatives using Python and AI tools.
- Collaborate with data providers, Operations, Risk, Finance, and Technology teams.
- Identify potential data issues and act as a quality gatekeeper.
- Contribute to improving data controls, workflows, and operational processes.
Reference Data Analyst
We are looking for a Reference Data Operations Analyst to support the quality and maintenance of critical financial data used across trading, risk, and operational processes.
This is an operations- and business-focused role, not a software development position. You will work with reference and security data, investigate data issues, ensure compliance with data standards, and help improve processes through SQL, Python, AI, and automation.
Wymagania:
- 3–4+ years of relevant experience in reference data, securities operations, fund administration, or a similar financial environment.- Strong understanding of data quality and operational controls.- Confident working with SQL and discussing query results.- Experience with Python and automation is highly desirable.- Interest in AI and emerging technologies.- Knowledge of equities, bonds, and options is beneficial.- Strong communication, analytical, and problem-solving skills.- High level of ownership, accountability, and attention to detail.- Ability to identify issues, challenge data quality, and work effectively with business and technology stakeholders.
Codzienne zadania:
- Maintain and validate security and reference data across financial instruments.
- Investigate and resolve data quality issues and exceptions.
- Analyze financial datasets and confidently work with SQL queries.
- Support automation initiatives using Python and AI tools.
- Collaborate with data providers, Operations, Risk, Finance, and Technology teams.
- Identify potential data issues and act as a quality gatekeeper.
- Contribute to improving data controls, workflows, and operational processes.
🔍 Dekoder Ogłoszenia
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help improve processes through SQL, Python, AI, and automation
Oczekuje się, że będziesz aktywnie szukać i wdrażać usprawnienia procesów, wykorzystując wymienione technologie, a nie tylko wykonywać rutynowe zadania.
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operations- and business-focused role, not a software development position
Chociaż wspomniano o SQL i Pythonie, główny nacisk kładziony jest na zrozumienie procesów biznesowych i danych, a nie na tworzenie oprogramowania od podstaw.
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Ability to identify issues, challenge data quality, and work effectively with business and technology stakeholders
Oczekuje się proaktywnego podejścia do wykrywania problemów z danymi i umiejętności skutecznego komunikowania się zarówno z osobami nietechnicznymi, jak i technicznymi.
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Experience with Python and automation is highly desirable
Chociaż nie jest to wymagane, doświadczenie z Pythonem i automatyzacją będzie znaczącą przewagą i może sugerować, że te umiejętności będą często wykorzystywane.
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Interest in AI and emerging technologies
Może to oznaczać zarówno faktyczne wykorzystanie narzędzi AI w pracy, jak i po prostu oczekiwanie bycia na bieżąco z nowymi technologiami.