A full-time academic position in Quantitative Finance : Innovation and Transition

Main campus:

About us

UCLouvain is the leading French-speaking university in Belgium and is also widely recognised internationally. Founded in the heart of Europe in 1425, the university brings together 40,000 students and 6,000 staff members on nine campuses in Brussels and Wallonia. Research and education activities are organised in 20 faculties, 23 research institutes, 5 learning centres and 18 libraries. UCLouvain also has two university hospitals.

UCLouvain is a major player in the transition to a sustainable society. The challenges of the ecological crisis are integrated into courses and the university develops numerous local projects (such as a university farm and sustainable campuses). As a digital university, UCLouvain is involved in open science and education, and trains academics in innovative teaching practices through its Louvain Learning Lab. Thanks to two science parks, the university's research benefits from interaction with 250 companies and 3 incubators, which is fuelled further by being at the centre of a region driven by technological innovation.

UCLouvain has a strong tradition of international collaboration in both teaching and research. These partnerships take shape through numerous exchange agreements, its firm commitment to the European alliance Circle U. and the network The Guild, as well as the welcoming of a large community of international researchers, supported by the Louvain Welcome Desk.

The University's staff policy is based on five pairs of values which are fundamental pillars of the way the University operates, works and lives together: https://uclouvain.be/fr/emploi/politique-personnel.html

Post description

Within the Louvain School of Management (LSM) and the Louvain Institute of Data Analysis and Modeling in economics and statistics (LIDAM), Social Sciences and Humanities Sector, this position will include the following teaching, research and community service duties:

• Teaching

You will teach mainly in the AFIN field (accounting and finance) within the Louvain School of Management (LSM). You will teach in the various study cycles managed by the faculty. You will also supervise master's theses. You may be required to teach courses outside your direct area of expertise (e.g. general management courses, or courses of a quantitative nature) and, to a lesser extent, on campuses other than that linked to your main assignment, and on a staggered timetable. The teaching load is delivered in English and French at the bachelor's and master's levels, across the two campuses of the faculty, located in Louvain-la-Neuve and Mons. Overall, your presence will help to expand the capacity for supervising dissertations and diversify teaching approaches, whilst ensuring a stronger interdisciplinary presence.

• Research

You will develop your research activities, including leading research programs, in the field of finance, studied using data-driven and quantitative approaches. With this in mind, you will explore the concepts of innovation and transition in a very broad sense: technological innovations, including AI, and other innovations in the field of financial engineering on the one hand; and transition in the environmental, social and governance sense on the other. You will play an active role within the Louvain Institute for Data Analysis and Modeling (LIDAM) and the Louvain Finance (LFIN Pole) by participating in various events (seminars, workshops, etc.). You will also supervise Ph.D. theses.

• In addition …

Once tenured, you will carry out various service activities and responsibilities within the institution, such as being a member of a programme committee or examination committee, or having management responsibilities within the faculty or research institute.

You will also contribute to serving society, particularly in the economic, social, cultural or development cooperation fields. Finally, you will ensure, through research and teaching activities, the university's international visibility.

Who we're looking for

• Education

You have a PhD in Management, Economics or Finance or in another field (engineering, statistics, actuarial science, etc.) but have worked on financial applications. As part of your research, you have worked with modern quantitative analysis tools. Fields of application of particular relevance to us include – but are not limited to: AI and machine learning, data science, fintech, energy, climate and environment.

• Experience

You have experience of teaching at university level, preferably supported by formal assessment. If not, you have teaching skills (presentations to audiences of various sizes). Your research experience is evidenced by international publications. You have a good network of scientific collaborators in different countries, as evidenced by publications or research partnerships (academic and/or with the associative or private sector). Ideally, you have completed a significant stay or experience abroad, outside the institution where you obtained your PhD.

• Skills

You are comfortable working as part of a team of academics and integrate research results into your teaching. You are capable of conducting high-level scientific research, from obtaining funding to team management. You are creative, open to pedagogical innovation and multidisciplinary. You are familiar with modern tools in the field of statistics, econometrics and data analysis in general.

You can communicate in French and English. If this is not the case, you undertake to acquire a command of these two languages within two years of taking up your position. Knowledge of other languages is an asset.

What we offer

• Tenure after positive assessment of the probationary period – typically four years. This type of career entitles you to a public sector pension.
• Appointment as lecturer or professor according to your previous academic experience, as determined by the Rectoral Council.
• Teaching load capped at 90 hours for a full-time tenure-track position, and 150 hours once tenured.
• An attractive and progressive salary according to seniority and the promotion process.
• A start date of 1 September 2027 at the earliest.
• An integrated leadership and management training programme, including a range of pedagogical, linguistic and other training courses.
• Benefits including transport, family, culture, commercial, etc.
• Official policy that supports equal opportunities and promotes diversity within academic and all other categories of staff.
• Specific emphasis on a work-life balance.

Practical Information

Application deadline: 5 November 2026 at noon (UTC+1 Time Zone)
Starting date: September 1st 2027

Location:

Social Sciences and Humanities Sector
(LSM) (https://uclouvain.be/en/faculties/LSM)
(IDAM) (https://uclouvain.be/en/research-institutes/IDAM)

Need more information?

Questions about this position:

Prof. Matthieu de Nanteuil, Dean LSM – doyen-lsm@uclouvain.be
Prof. Catherine Legrand, President IDAM – presidence-idam@uclouvain.be

Questions about the procedure:
Madam Céline Brauns, Rector's Office, celine.brauns@uclouvain.be

Questions about online application:
Madam Andreea Chiriac, Rector's Office, secretariat-vrpp@uclouvain.be

Interested?

Applications must be submitted exclusively via UCLouvain's online recruitment system; submissions through other channels will not be considered.

Full details regarding the application procedure are available at: https://www.uclouvain.be/en/careers/submit-your-application

Applications must include one single PDF file containing the following documents:

• a cover letter (to be included in the single PDF as well as in your candidate profile);
• a detailed and up‑to‑date curriculum vitae (to be included in the single PDF as well as in your candidate profile);
• a copy of the official doctoral degree certificate;
• a complete publication list, including a summary of three recent and significant publications;
• a teaching statement;
• a research statement presenting the proposed research programme for the next five years.

Shortlisted candidates invited for an interview will subsequently be asked to provide:

• a PhD project proposal, with a view to the possible recruitment of a doctoral candidate during the first year of appointment;
• three to five letters of reference, submitted directly by referees according to the instructions provided by the University.