Overview
Lead – IVU Jobs in Santa Venera, Santa Venera, Malta at Bank of Valletta plc
Title: Lead – IVU
Company: Bank of Valletta plc
Location: Santa Venera, Santa Venera, Malta
Application Closes: 30/07/2026
Role: Lead
Function: Chief Risk Officer
Department: Risk Coordination and Quality
Section: Internal Validation
Reports to: Head
Job Summary
Overall Purpose:
The Lead within the Internal Validation unit is responsible for leading and overseeing the end-to-end validation process for BCBS 239 at BOV’s Risk function based on a strong understanding of data lineage, mapping, and data modelling.
Key Responsibilities
The job holder will be responsible for:
- Designing the validation testing processes and procedures for BCBS 239 compliance validation, as well as adherence to other relevant regulatory dicta.
- Providing overall guidance and leadership in validation testing activities and managing the validation workflow at BOV.
- Maintaining an efficient and auditable database of validation records and evidence.
Compliance validation oversight:
- Ensuring effective implementation of BCBS 239 validation testing and procedures by the Internal Validation team and ensuring alignment with the compliance validation methodology.
- Maintaining the repository of validation test questions covering all aspects of BCBS 239.
- Performing validation on the policies and processes of various departments and section being validated.
- Initiating engagement process and guiding discussions with key stakeholders to ensure a collaborative approach towards agreeing on the validation outcomes.
Reporting and Monitoring:
- Proactively suggesting solutions to BCBS 239 compliance gaps, actively engaging with involved internal stakeholders to consider and constructively challenge remediation plans.
- Monitoring and reporting the Bank’s status of compliance with BCBS 239 and implementation status of remediation actions.
- Liaising with stakeholders (following escalation by the Senior Manager), relating to unresolved issues and/or divergences of opinion regarding the implementation of remediation plans and outcomes.
- Monitoring outstanding issues highlighted in validation findings.
- Reviewing and overseeing the preparation of compliance status reports to senior management, the Board, and/or the supervisory authorities.
- Developing and maintaining expert knowledge of BCBS 239 requirements, data management, risk management, efficient and effective use of IT tools relating to data quality e.g. artificial intelligence tools. To serve as an authoritative point of reference on BCBS 239 as well as risk data aggregation and risk reporting, upholding high data quality standards at the institution.
- Promoting across the institution awareness of industry level best practice.
- Providing leadership, mentorship and training to team members to foster a high-performing team of validation professionals.
- Building a strong relationship with key stakeholders including senior management, internal and external auditors, supervisory authorities, and various stakeholders across the Bank.
- Promoting a culture of continuous improvement by regularly reviewing and updating the internal validation processes to ensure their effectiveness and efficiency.
In addition to the specific functions, management may assign more duties as required for the job from time to time.
Attitude
- Adaptable and flexible, embraces new tools and regulatory changes with a positive, improvement‑focused attitude.
- Solution‑oriented and responsible, committed to continuous learning and the responsibilities of the role.
- Collaborative and accountable, supports colleagues, shares knowledge, and takes ownership of work.
Required Criteria
Previous proven work experience of seven (7) years in Data Science, Data Analysis or a related area, three (3) years of which managing a team, project or initiative and an MQF Level 6 Award in Data Engineering, Analytics, Statistics, Data Science or a related field.
OR
Previous proven work experience of nine (9) years in Data Science, Data Analysis or a related area, three (3) years of which managing a team, project or initiative.
OR
Previous proven work experience of five (5) years in Data Science, Data Analysis or a related area, three (3) years of which managing a team, project or initiative, and a MQF Level 6 Degree in Data Engineering, Analytics, Statistics, Data Science or a related field.
In the shortlisting process, preference may be given to candidates meeting the third required criteria.
Desirable Criteria
Previous proven direct work experience in data visualisation tools such as Power BI or others and an MQF Level 7 Master’s Degree in Data Engineering, Analytics, Statistics or Data Science, or a related field.
In our process of shortlisting candidates for the vacancy, please note that preference may be given to candidates whose profiles best align with the duties and responsibilities of the role.
Here’s what’s in it for you:
- Bank Holidays and additional vacation leave days over and above the statutory entitlement
- Free basic health insurance
- Relocation assistance and packages for expats joining the bank
- Accredited training programs from our BOV Learning Academy
- Study leave when employees decide to further their studies on part time basis
- Staff home loan rates for your dream home and other credit facilities at reduced interest rates
- Voluntary Occupation Pension Scheme (VOPS)
- Guarantee of working with an Equal Opportunities Employer as certified by the NCPE
- A budget dedicated to your children’s summer school costs
At BOV Group, we prioritise integrity, ethical behaviour and a strong work ethic. These principles form the foundation of the Bank’s core values: sustainability, excellence, innovation, integrity, and inclusion. All employees are expected to adhere to the Code of Conduct & Ethics, which outlines the standards for professional and personal behaviour. Commitment to these principles is essential for maintaining the BOV Group’s reputation and ensuring a positive, productive work environment.
The Bank ensures a fair, transparent, consistent and non-discriminatory treatment of employees on the basis of gender, gender identity, race, colour, ethnic, or social origin, genetic features, language, religion, or belief, political or any other opinion, membership of a national minority, property, birth, disability, age or sexual orientation.