Head of Data Analytics

In a changing world, unprecedented challenges require unmatched talent. Join one of Montreal's Top Employers in 2025. We are a dynamic and growing organization having its main establishment located in downtown Montreal and part of a leading international banking institution fully committed to building a more sustainable future. Note that the position may be in the Canadian Branch of BNP Paribas or in one of its subsidiaries based in Montreal.

**The position at a glance**

Inspection Générale North America (IGNA) Hub is part of BNP Paribas’ global Internal Audit Group (Inspection Générale or “IG”) which is staffed by highly qualified individuals who perform risk-based reviews to provide reasonable assurance to senior management on the adequacy of internal controls and recommend control and efficiency improvements.

As people and technology are the 2 core assets of IG, our objectives are to capitalize on the solid foundations built over the last years, to move to the next level of coverage of processes through Data Analytics & Artificial Intelligence (AI) use cases, and to develop data analytics skills of our staff.

In IG North America, the Data Analytics team is made up of one Head of IGNA Data Analytics and two VIEs (Professional Graduates) with objective of leveraging Data Analytics and Data Science to enhance audit processes by uncovering insights, identifying risks, ensuring compliance, and driving continuous improvement of the audit practice. IGNA also leverages on Data Analytics (DA) Champions (i.e. auditors trained in data analytics tools) to create or reuse DA test cases, identify key risk areas, and verify the effectiveness of controls.

The IGNA Data Analytics team is responsible for providing data analytics support for the internal audit department, promoting the usage of Data Analytics, and providing training to the IGNA audit staff on Data Analytics. The Head of IGNA Data Analytics is also responsible for collaborating closely with Group Inspection Generale AI & Data Factory to share local and Group topics such as accomplishments, projects, use cases, and new technologies.

**In detail**

Responsible for the direct Staff supervision of the IGNA Data Analytics staff members based in Montreal.

Manage the enhancement of IGNA (Corporate & Institutional Banking or “Wholesale Banking”) data science strategy.

Maintain and enhance current Data Analytics methodology to improve quality of audits.

Define, standardize, coordinate and execute Data Analytics test cases for Audits and continuous monitoring efforts with a scope of BNP Paribas North America.

Advise management on selection and deployment of Technology and tools for Data analytics and leverage Data Analytics for understanding business, identifying process improvements and reducing risk.

Expand use of advanced Data analytics by developing a strategic roadmap for the use of data science and artificial intelligence within audits carried out by field auditors.

Plan and develop reusable use cases that can be re-used locally across audits and globally across hubs.

Assist field auditors in the audit of the bank processes based on artificial intelligence and machine learning.

Advises on the resolution of complex analytical and data integrity problems while prioritizing multiple tasks.

Collaborate closely with Group Inspection Generale AI & Data Factory to share local and Group topics such as accomplishments, projects, use cases, and new technologies.

Create and deliver trainings relating to data science and emerging technologies to encourage auditors to enhance their skills.

Develop and maintain relationships with heads/managers of business lines and functions and with Transformation and Data Analytics team in Paris.

Clear communicator that helps promoting buy-in from across audit lines and keep all Data Analytics champions engaged, motivated and focused on delivering results. Should be able to speak and write at a technical level as well as at an executive level as interactions will be with technical and non-technical staff and executives.

Deliver clear presentations to Senior Management in business when needed and to IG management.

Participate in Industry forums and keep abreast of the latest developments in Data and Analytics field.

Adopt and promote strong ethical values.

Work conditions: This position provides for standard working conditions in an office and a normal work schedule from Monday to Friday. This position requires little travel.

**The strengths and skills that will help you succeed**

Undergraduate Degree in Business, Finance, Computer Science, or a related field; Advanced Degree (MS/MBA) is preferred.

Minimum of five to seven years of relevant experience.

Knowledge of principles and techniques of internal auditing and/or risk management, and experience in assessment of associated risks and controls.

Experience with data analytics, AI and emerging technologies in the risk and audit space.

Data science certification