Full Time
Hybrid
Mid-Level
0
Job Skills
- Machine Learning
- NoSQL
- Python
- SQL
Basic Information
The doValue Group is the main activity operator in Southern Europe for the management of credit assets and real estate arising from non-performing loans, with over 20 years of experience and approximately €140 billion worth of assets under management.
We are looking for an ML Analyst to join our team and share our values to work as a Team Together in interesting projects.
Responsibilities
What will your typical day to day look like? You will:
- Conduct data mining, preprocessing, and validation for structured and unstructured financial datasets.
- Enhance data collection procedures, ensuring relevance for developing robust analytic systems.
- Develop predictive systems using cutting-edge machine learning algorithms.
- Present analytical results clearly to non-technical stakeholders.
- Propose strategic solutions to address business challenges.
- Collaborate with cross-functional teams to build AI-driven solutions for financial services.
Benefits
- Competitive remuneration package
- Hybrid working environment
- Private health insurance
- Pension plan
- Yearly bonus based on performance
- Childcare expences
- Access to fitness facilities
Basic Requirements
- Minimum 3 years of experience in relevant fields of MIS / data science. Consulting and banking experience is preferred
- University degree in Computer Science, Engineering, Science, Economics or related discipline. Master’s Degree will be considered as an asset
- Proficiency in machine learning techniques and algorithms
- Strong coding skills in Python, R, or other relevant languages for data manipulation, analysis, and model development.
- Mastery of data analysis libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn) to extract insights from financial datasets.
- Experience with SQL or NoSQL databases
- Excellent written and verbal communication skills both in Greek and in English
- Advanced MS Excel and PowerPoint skills and knowledge of MS Office
- Efficient data retrieval and storage.
- Ability to dissect complex financial data and extract meaningful insights to drive informed decisions.