AI & Data Analytics Specialist

Luxembourg, LU, L-2449

Purpose of the Job

Quintet Private Bank is a leading private bank in the wealth management sector; we are committed to our clients and their families, and pride ourselves on our personalised service based on a deep understanding of what clients want to achieve.
We are a bank headquartered in Luxembourg, with branches in Belgium, Denmark, Germany, Netherlands and a subsidiary in the UK. We are supervised by the CSSF with an ambition to stay true to our purpose to be the most trusted fiduciary of family wealth.

When you join Quintet you are joining a company that values diversity of background, equal access to opportunities, career development, collaboration and inclusiveness. We want our employees to feel proud of being part of a company that is committed to do the right thing. You will have the opportunity to grow your career while developing personally and professionally through various resources and programmes.

As part of our Internal Audit function, you will contribute to providing independent assurance over the use of Artificial Intelligence (AI), advanced analytics, and data-driven solutions across the Group. You will support audits covenring the full AI lifecycle (data, model development, deployment, monitoring) and help assess whether AI systems are designed and used in a controlled manner. This role offers a unique opportunity to combine data / engineering expertise with audit and risk management, whith a highly regulated financila environment. Support Internal Audit in enhancing risk coverage and efficiency through advanced AI and analytics, with a focus on practical, auditable use cases in a regulated banking environment.

Key Accountabilities

Support the execution of audits covering AI models, algorithms, and data pipelines
Support continuous auditing initiatives
Assess the design and effectiveness of controls throughout the AI lifecycle
Review model development, validation and monitoring practices
Design and execute data-driven audit procedures (e.g. transaction analysis, anomaly detection)
Develop IL/ML use cases supporting audits (AML, payments, KYC)
Extract, clean and analyse large datasets (SQL, Python)
Build reusable analytics tools and scripts
Translate technical outputs into clear audit insights for senior stakeholder

Knowledge and Experience

MSc in engineering / Data Science / AI / Applied Mathematics

Attributes and Qualities

Ability to challenge and questiob complex models and processes
Structured and pragmatic problem-solving
Clear and structured communication skills
Ability to explain technical results in Business terms
Critical Thinking

Technical Skills

Knowledge of LLMs / GenAI tools
Strong Python, SQL and data manipulation
MS Office suite

Languages Skills

Fluent in English