Risk Analytics Data Engineer / Scientist

Risk Analytics Data Engineer / Scientist at Bank of Cyprus

Do you have a passion for working with data, building models or solving complex problems through code? If so, then this position might be for you! As a Risk Analytics Data Engineer / Scientist you will have the opportunity working with real data using SQL, Python, and R to support data pipelines, run analyses, and generate insights that help improve decision making and drive measurable impact across the business.

Are you ready for the challenge?

Your Impact

• Develop, automate and maintain complex calculations/systems that produce as output key measures for the Bank.
• Maintain and develop statistical models in SQL, Python and/or R.
• Collaborate with cross-functional teams to integrate these solutions into the Bank's overall risk management framework.
• Continuously monitor and optimize the performance and logic of these solutions to ensure they meet the Bank's evolving needs.

What’s in it for you

Total Rewards

• Competitive salary - up to €30.000 (depending on qualifications and experience)
• 9% Provident Fund from day one
• Performance bonus opportunities (discretionary)
• Preferential financing rates

Work–Life Support

• 28 days annual leave (increases with tenure)
• Sabbatical / part time options

Growth

• Continuous learning
• Personal and Professional development programs
• Recognition for great work

Wellbeing

• Medical & life insurance
• Wellbeing Program: team‑building, mental‑health, nutrition & financial guidance
• Employee Assistance Line.

What We’re Looking For

Academic Qualifications

• Bachelor’s degree in Computer Science, Mathematics, or other STEM subjects.
• Master’s degree in the above subjects will be considered an advantage.

Experience & Skills

• Advanced programming skills using SQL, SAS, R or Python.
• Knowledge of specialization tools for ETL, data integration and database management will be considered as advantage.
• Knowledge of SAS solutions will also be considered as an advantage (SAS Model Implementation Platform, Risk Governance Framework, Infrastructure for Risk Management).
• Modelling knowledge of credit risk related parameters will be considered as additional advantage.
• Experience in a similar position in the financial services industry will be considered an advantage.
• Strong analytical, quantitative, and problem-solving abilities.
• Ability to work collaboratively in a team environment is essential.
• Eagerness to learn and develop new skills.
• Excellent verbal and written communication skills in both Greek & English.

Key skills/competency

• Data Engineering
• Risk Analytics
• SQL
• Python
• R
• Statistical Modeling
• ETL
• Credit Risk
• Financial Services
• Data Pipelines