Data Science Expert

(Réf. AMLA/CA/2026/10)

3 years contract with possibility of extension

Frankfurt/Main, Germany

Full time, 40 hrs per week

Open to individuals with EU citizenship

Deadline to apply:
27/08/2026 23:59

€ 4.449,31€ at grade 13 or 5.034,18€ at grade 14 / FG IV

Approximate number of candidates on reserve list:
10

Visit our website to learn more about the benefits.

WHO WE ARE

Money laundering and the financing of terrorism are major concerns for the EU. They pose significant risks to the EU economy, to the integrity of the EU financial system and, even more importantly, to the security of its citizens.

The Anti-Money Laundering and Countering the Financing of Terrorism Authority (AMLA) was established in June 2024 as a new European Union body to safeguard the European Union’s financial system and its citizens against money laundering and terrorist financing. It is located in Frankfurt am Main, Germany and will expand to over 400 staff members by the end of 2027.

AMLA’s key responsibilities include:

  • Directly supervising selected financial sector entities that operate on a cross border basis and present a high risk of money laundering and terrorism financing, as well as indirectly supervising other entities in the financial and non-financial sectors
  • Supporting and coordinating the activities of Financial Intelligence Units (FIUs) by, for example, facilitating the joint analyses of cross-border cases, enabling information exchange, providing capabilities, advanced data analytics and managing the FIU.net information system
  • Complementing EU Anti-Money Laundering (AML)/Countering the Financing of Terrorism (CFT) rules by developing regulatory and implementing technical standards and issuing guidelines

For more information about the Authority, please visit our website. We are an equal opportunities employer, committed to diversity and non-discrimination.

Are you interested to contribute to our mission? Then see below what it takes to accomplish the role.

YOUR ROLE

As a Data Science Expert, you will apply quantitative and statistical methods to support the development, testing and calibration of AMLA’s risk assessment methodology and the data-driven selection of entities for direct supervision. You will work in a dynamic start-up environment and your role will contribute to the success and growth of AMLA. It will offer opportunities to make a meaningful impact. Key responsibilities for this role include:

  • Contribute to developing, testing and calibrating quantitative models for assessing money-laundering and terrorist-financing risks.
  • Analyse supervisory datasets using statistical methods, including distributions, thresholds, weighting approaches and sensitivity analysis.
  • Apply appropriate analytical techniques, including machine learning where relevant, to support risk analysis.
  • Support the development of reproducible data-processing workflows and data-quality checks.
  • Contribute to model validation and assess the robustness and explainability of analytical outputs.
  • Produce data-driven insights and visualisations to support the selection of entities for direct supervision.
  • Support cooperation with national authorities and EU bodies on data collection and the consistent application of the methodology.

The successful candidates might be required to perform other duties as necessary under the responsibility of their line manager according to the evolution and development of AMLA’s structure and activities.

QUALIFICATIONS AND OTHER REQUIREMENTS

Eligibility criteria

To be admitted to the selection process you mustmeet the following eligibility criteria on the closing date for application and on the date of filling the vacant post:

  • Be a national of a Member State of the European Union.
  • Completed university studies of at least 3 years attested by a diploma.
  • Thorough knowledge (C1 level as per the CEFR [1]) of one of the 24 EU official languages and a satisfactory knowledge (B2 level) of another EU official language for the performance of your duties [2].
  • Enjoy full rights as a citizen and meet the character requirements for the duties involved [3].
  • Have fulfilled any obligations imposed by national laws concerning military service.
  • Be physically fit to perform the duties linked to the post [4].

Education and Professional Experience:

Candidates must have a level of education which corresponds to completed university studies of at least three years attested by a diploma in Statistics, Mathematics, Economics, Data Science or another relevant quantitative discipline.

[1] Common European Framework Reference Language Skills

[2]Mother tongue English speakers will be expected to demonstrate knowledge of a second EU language.

[3]An official certificate confirming the absence of any criminal record must be submitted prior to recruitment.

[4]If you are not currently working for an EU institution, you will be required to undergo a pre-employment medical examination at a center we specify.

Selection Criteria

To be considered for the assessment phase you must meet the following essential criteria on the closing date for applications. The following criteria will be assessed during the application screening phase:

  • At least one year of professional experience in quantitative data analysis following the completion of university studies of at least three years attested by a diploma.

Please clearly indicate in the application form the type of data analysis carried out and role/function/level of seniority. Failure to clearly indicate these elements in your application, shall exclude you from the next phase of assessment.

  • Professional experience in using advanced Microsoft Excel and a programming language such as Python or R for quantitative data analysis.

Please clearly indicate the tools used and the project/ context. Failure to clearly indicate these elements in your application, shall exclude you from the next phase of assessment.

Desirable Criteria

The following criteria are considered as desirable and may be taken into account during the application screening phase:

  • Knowledge of the financial sector, financial supervision, risk analysis, financial regulation or AML/CFT, acquired through training or experience.
  • Professional experience using SQL to query, extract and process structured data.

Skills

The following skills will be evaluated during the the written test and/or interview phases.

Technical Competencies

  • Ability to apply statistical and quantitative data-analysis methods, including distributions, weighting, thresholds and sensitivity analysis.
  • Ability to use advanced Microsoft Excel and a programming language such as Python or R to analyse and interpret quantitative data.

Interpersonal Skills

  • Excellent organisational skills, ability to work autonomously and under pressure and/or time constraints.
  • Excellent client/service orientation (results-oriented).
  • Ability to work collaboratively and build strong working relationships (strong team player).
  • Strong and clear communication skills (including ability to present complex data/concepts in a clear and understandable way to non-experts).
  • Strong analytical and problem-solving skills.

Language Skills

A strong command of both written and spoken English (min. C1 level). English oral and written skills will be assessed throughout the assessment phase.

Motivation

Candidates will also be tested on their motivation for this position and the organisation.

APPLICATION, SELECTION & RECRUITMENT PROCESS

Please submit your application in English. Applications not indicating the minimum required English proficiency level of C1 will be rejected.

Before submitting your application look at our careers page and check out the Guide for candidates. Proof of compliance with specific criteria may be requested at any stage during the selection process. If you fail to comply with the eligibility and essential criteria, your application will be disqualified.

The selection process will be organised in several consecutive stages:

Screening and shortlisting: After the deadline for online registration, the Selection Board will check the eligible applications against the selection criteria as described above. Upon completion of the initial assessment, the Selection Board will establish a shortlist of the candidates best matching the criteria.

Assessment phase: The shortlisted candidates will be invited to the assessment phase which will be organised remotely. This phase will be conducted in English. The assessment phase may involve an oral interview with the Selection Board and a written test. The oral and written test aim at testing the specific competencies and knowledge with reference to the selection criteria of the present vacancy notice.

Details of the date and time of the assessment will be communicated to the shortlisted candidates in due time. Assessments are foreseen to take place in October 2026. Please note that timelines are subject to change.

All candidates will be informed about the outcome of the procedure throughout the selection process.

Reserve list & Appointment: At the end of the assessment phase, the Selection Board will propose a list of suitable candidates to the Executive Director of AMLA for approval. To be included in the reserve list, candidates will need to have received the threshold of 65% of the total score. The adopted reserve list will be valid until 31 December 2027. The validity of the reserve list may be extended by decision of the Executive Director of AMLA.

Prior to being offered a post, candidates might be required to undergo further evaluation by AMLA (e.g. including a further interview with the Executive Director and/ or hiring manager). The Executive Director will appoint the selected candidate(s). Candidates should note that inclusion in the reserve list does not imply any entitlement to employment at AMLA. Recruitment is also subject to budgetary availability.

Please also note that the reserve list may be shared with the European Insurance and Occupational Pensions Authority (EIOPA), located in Frankfurt. Upon establishment of the reserve list and upon request for access, AMLA shall seek the consent of all candidates included on the reserve list.

At Impactpool we do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify. Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.