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Data Analyst (MiNDS Employee/12 months contract)
София, СофияThis role sits alongside the Risk & Performance Analysis team within Global Investment Analytics. The core function of this team is to support our Investment Management, Sales and Marketing teams globally with responses to quantitative risk, analytical queries and the provision of performance statistics and attribution analysis on our entire product range.
The role will also be expected to provide technical support to the Global Investment Analytics in project work, ad-hoc tasks & other deliverables using appropriate technology available (e.g. Python, SQL and other in-house reporting tools).
Specific Responsibilities
The role will also be expected to provide technical support to the Global Investment Analytics in project work, ad-hoc tasks & other deliverables using appropriate technology available (e.g. Python, SQL and other in-house reporting tools).
Specific Responsibilities
- Using technology solutions (Python, SSRS, SQL, Linux, Git etc..) to enhance existing processes within the team to deliver either control or efficiency enhancements. These team processes can all be classified as supporting portfolio level analysis and understanding for the benefit of the front office, sales and clients. Example processes:
- Produce performance metrics for both internal and external distribution
- Assist in the production and checking of bespoke risk templates and client performance
- Calculate exposure and risk metrics to assist in responding to ad-hoc client queries
- Contribute to and produce competitor / peer group analysis and reports
- Involvement in the production and approval of the team’s contribution to quarterly regulatory reporting
- Ad-hoc task support for other workstreams within the team.
- Fund & benchmark set-up in the core performance/client reporting systems
- Demonstrable skills in using technology solutions (most importantly SQL and Python) & experience in report writing/data extract design.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Advanced proficiency in Microsoft Excel
- Excellent analytical skills and quantitative problem-solving ability
- High attention to detail with analytical capabilities
- Excellent communication/interpersonal skills with the ability to establish functioning and constructive work relations with various teams in the Company
- Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
- Excellent organisational and coordination skills
- Knowledge/interest in the financial markets and/or knowledge of pooled fund investment vehicles & fund data structures advantageous