Risk Data Analyst - Mobi Banka

Belgrade

Key responsibilities:

• Responsible for the integrity and quality of risk data
• Initially validate results to ensure data integrity of the reports and/or files produced
• Analysis of data, design and implementation of required reports and KPI dashboards and presentation of results
• Recommend changes in data structures and data requirements to build more robust data set and reports
• Financial modelling, reporting and monitoring Create and present recommendations to senior management
• Quality assurance of Bank financial data:
  - analysis and correction of data errors,
  - constantly improving data error detection techniques and
  - identification of alternative solutions, monitoring of status and implementation of alternative solutions for identified errors in order to provide accurate and complete information
• Close cooperation with IT/BI on automatization of risk reporting
• Proposing new ideas and innovative solutions in the risk area, challenging status quo and routines aiming at their improvement
• Supporting team in various tasks
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For the good start you will need:

• Understanding of banking products
• University diploma
• Minimum 2 years of previous experience as a data analyst or similar jobs
• Understanding of quantitative finances techniques
• Strong analytical and problem-solving skills and the ability to conduct complex data analysis using analytical databases/tools, including Microsoft Excel, SQL and VB
• Fluent English

Personal attributes:

• Analytical and structured, with the ability to turn data into information and information into business decisions
• Detailed and thorough, investigation creativity
• Ability to establish / maintain effective working relationships
• Manage and prioritize work effectively with minimal supervision
• Results and execution focused and work on multiple assignments and meet deadlines

You will enjoy:

• Work in a dynamic environment
•  Great benefits
• Competitive conditions
• Ability to grow and thrive through the company

Please apply by {date}