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 Germany, Netherlands and Belgium and a subsidiary in the UK and supervised by the ECB 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 the Group Risk function, the Financial Risk Management department is in charge of assessing and supervising the financial risks arising from the Group activities, including market, liquidity, credit, and model risks.
To reinforce its credit risk management, the Financial Risk Management department is actively looking for a Quantitative Risk analyst, whose role will be to assist in the deployment of harmonised and homogeneous models, tools, data management, and risk reporting capabilities across the Group. In addition, physical and transition climate risks and the related data management challenges will constitute key focus areas within these responsibilities.
The selected candidate will be working in close collaboration with:

• Credit risk managers in charge of supervising the loan portfolio of the bank;
• Other quantitative risk managers and risk analysts focusing on other risk areas such as market or liquidity risks;
• Internal model validators ensuring proper model risk governance; and
• Transversal risk managers in charge of risk reporting to internal (Authorised Management and Board) and external (regulators, investors, auditors) stakeholders.
  

Key Accountabilities

• Take part in the design, prototyping, implementation, and maintenance of quantitative credit risk models for Economic Capital (Pillar II) allocation, Expected Credit Losses evaluation, and regular Credit Risk Stress Testing.
• Act as a model user (or support other model users) in the area of credit and climate risks, and propose in-depth analyses of model outcomes, on a recurring basis (e.g., monthly/quarterly/annually).
• Maintain and enhance the credit and climate data streams in close collaboration with credit risk management teams across the Group; develop a harmonised credit data model and implement its efficient connection with credit modelling and stress testing frameworks.
• Support credit risk management teams by developing end-user calculation and reporting solutions (e.g., using Excel, VBa, or Power BI).
• Work on ad-hoc projects within the frame of a fast-moving regulatory environment.
  

Knowledge and Experience

Requisites:

• Master (BAC+5) in a quantitative discipline (engineering mathematics, physics, finance)
• 3-6 years of previous relevant experience in a risk management environment (ideally model development, model validation or data management)

Useful assets:

• Prior experience in a credit risk management or credit risk modelling environment; understanding of key credit risk concepts such as PD, LGD, EAD and the modelling thereof
• Understanding of the banking industry, of basic accounting principles and of the components of a bank’s balance sheet
• Understanding of the lending cycle, especially in a private banking context
• Knowledge of climate risk fundamentals (e.g., physical vs. transition risks, main drivers of climate risk into credit risk notably for corporate bonds and mortgage credits)
• Knowledge of applicable banking regulations (e.g., Basel framework, CRR, IFRS9, CSRD)

Attributes and Qualities

• Have strong analytical and mathematical skills
• Be able to work autonomously, design creative solutions and bring new ideas
• Have a collaborative mindset, and put themselves in the shoes of their counterparts/clients
• Challenge the existing situation and seek to improve it, focusing on solutions rather than on problems
• Have excellent interpersonal and communication skills, with the ability to explain complex concepts in a simple and straightforward manner

Technical Skills

• Strong programming skills in Matlab or ability to build on other languages (Python, C#, C++, Java, R) to acquire it
• Knowledge of data management tools: SQL Server, SSIS
• Fluency with the MS Office suite, especially MS Excel
• Knowledge of Power BI is a strong asset

Languages Skills

• Fluent in English, French is considered an advantage