Risk Data Analyst
1 month ago
ZeniÎ is looking for a passionate, ambitious and talented Risk Data Analyst.
If you:
- have a dynamic, effective, highly motivated, and passionate personality
- identify opportunities, cooperate with multiple teams, and manage the corporate companyâs branding
- want to develop your career by joining a leading company like ZeniÎ
Then this role as a Risk Data Analyst is what you are looking for Donât miss this amazing position. Apply now and
grab this opportunity in one of the most dynamic work environments
The position is permanent.
key responsibilities
- Contribute, where necessary, to other tasks of the AFC Function
- Participate in companyâs trainings.
- Manage the work of the Unit in all aspects related to the area above.
- Support operationally with the estimation of risk analytics, relative KPIs.
- Support operationally with the development, deployment, and maintenance of models that are used for ris management, risk valuation, and financial/regulatory reporting purposes.
- Study risk relative scientific and regulatory national and EU documents. Collect, collate and evaluate scientific data from a range of sources.
- Advise on risk data aggregation framework, support risk data strategy and risk data infrastructure, processes and systems to support analysis and reporting requirements.
- Support in the development of an internal risk control framework for core business processes.
- Responsible for ensuring the business is compliant with core risk policies, processes, through KPIs monitoring and control checks.
- Building in-house capability to assess and model the impact of market changes to risk KPIs and making recommendations for possible mitigations (in cooperation with other Functions of the Company)
- Provide advice about Risk control to other Units of the Company.
- Interpret risk policy changes and ensure that they are communicated through corporate policies and procedures.
- Cooperate with other Units for fulfilling the tasks assigned.
- Other tasks as requested by the Head and the Manager.
experience
At least 1 year of relevant professional experience
qualifications
- Solid academic background in a quantitative field, including Economics and Finance, Mathematics Econometrics, Engineering, Data Science.
- Relative M.Sc. or/and Ph.D. will be considered an asset.
- 1+ years of experience in data analysis and risk management.
- Strong proficiency in SQL, R, or Python.
- Experience with data visualization tools.
- Strong analytical, problem solving and critical thinking skills.
- Sound understanding of data structures; excellent command of data transformations.
- Advanced working knowledge of at least one quantitative analysis tools such as SAS, SPSS, R, Python wil be highly regarded.
- Excellent computer skills, a proficient user of MS Office (Excel, PowerPoint, Visio etc.)
- Solid presentation and writing skills in both English and Greek. Knowledge of additional languages will be considered an asset.
- Excellent interpersonal skills and ability to work and communicate effectively across multiple teams an functions.
- Willingness to learn and continuously expand technical and business skills.
- Project management skills.
- Ability to work under pressure and meet tight deadlines
- Attention to detail is the fundamental basis of the role
- A motivated and enthusiastic professional with curiosity and creativity
- A team oriented and positive attitude, focused on collaboration with colleagues and clients at all levels
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