An academic in Quantitative Finance: Innovation and Transition

Université catholique de Louvain; Belgique; Sur place; EUR 70 000 - 95 000; Plein temps

Avantages offerts par ce poste

Tenure after probation

Public sector pension

Professional development

Work-life balance

Résumé du poste

Université catholique de Louvain recruits for a full-time academic position in Quantitative Finance: Innovation and Transition. The role spans teaching in accounting and finance, supervising theses, and leading research at LSM and LIDAM.

You will engage in interdisciplinary work across campuses and participate in shaping the university’s international visibility. Applicants should have a PhD in a relevant field, a track record of university teaching, international publications, and a strong

Qualifications

• PhD in Management, Economics or Finance with financial applications.
• Experience with modern quantitative analysis tools (AI, data science, econometrics).
• International publications and a strong network of collaborators.

Responsabilités

• Teach primarily in the AFIN field (accounting and finance) within LSM and across study cycles.
• Supervise master's theses and potentially teach courses beyond direct area of expertise.
• Develop research programs in finance using data-driven and quantitative approaches; supervise PhD theses.

Connaissances

Teamwork

Teaching at university level

French & English communication

Formation

PhD in Management, Economics or Finance

Description du poste

Organisation/Company Université catholique de Louvain Research Field Computer science » Other Economics » Business economics Economics » Econometrics Economics » Financial science Economics » Other Researcher Profile Established Researcher (R3) Application Deadline 5 Nov 2026 - 11:00 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Reference: 38704/ LSM 011 / 2027

UCLouvain seeks to recruit

Afull-timeacademic position inQuantitative Finance : Innovation and Transition

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.

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.

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.