Specialist, Financial Crime Risk
Universität Basel: Specialist, Financial Crime Risk
Specialist, Financial Crime Risk
The Basel Institute on Governance is a hands-on centre of competence dedicated to promoting good governance and countering corruption for a more peaceful, just and sustainable world. Established in 2003 in Basel, Switzerland, the Institute works with partners worldwide to advance knowledge, practice and policy on anti-corruption, asset recovery and business integrity. With field operations worldwide, it has some 150 staff covering 32 nationalities. The Basel Institute is an Associated Institute of the University of Basel. The International Centre for Asset Recovery (ICAR) is a specialised centre at the Basel Institute that works together with partner countries to strengthen their capacities to recover illicit assets. We place particular emphasis on hands-on mentoring on investigation methods and confiscation and prosecution strategies, as well as international cooperation. The aim is two-fold: to build capacity and effectively progress cases to the stage of recovery. We also develop and deliver tailor-made training; support legislative and institutional reform processes; and work with other international organisations to advance innovation and global policy dialogue on asset recovery. Our flagship product, the Basel Anti Money Laundering Index (Basel AML Index), is a trusted risk assessment tool used by financial institutions, designated non-financial businesses and professions (DNFBPs) and governments worldwide to evaluate money laundering/terrorist financing (ML/TF) and related financial crime risks.
Your position
The Specialist, Financial Crime Risk will support the maintenance, development and enhancement of the Basel AML Index. Working under the direction of the Head, Financial Crime Risk, the postholder will provide data support to the Basel AML Index, conduct research and analysis for publications and assist clients and users of the Basel AML Index. Key responsibilities Data support: Maintain and update data for the Basel AML Index, ensuring consistency, reliability and methodological rigour. Provide statistical analysis and assist in improving methods for risk weighting, scoring and aggregation. Support the further enhancement of the Basel AML Index methodology. Conduct data checks and controls. Research and analysis: Conduct background research on relevant AML/CFT indicators, legal frameworks and latest developments. Analyse Financial Action Task Force (FATF) data (quarterly updates and annual publication). Draft data briefs, charts and visual aids for internal and external reports. Help maintain technical documentation of data sources and methodologies. Conduct research and provide support for the annual publication of the Index. Support the preparation of presentation materials. Client support: Provide support to clients on requests for data and clarifications. Assist in the preparation of country reports on ML/TF risks. Coordinate meetings with and deliver standard presentations about the Basel AML Index to potential new clients.
Your profile
Master's degree in economics, data science, international relations or related field 2–3 years' experience in statistical modelling, data analysis and risk assessment (Excel, R, Python or similar tools) Understanding of AML/CFT frameworks and methodologies desirable Strong experience working with international data sources and indicators Strong attention to detail and ability to follow technical guidance Fluent English
We offer you
We offer an interesting and rewarding working environment with a proactive, dynamic and international team spirit. The work is both routine and varied, and offers scope for initiative and innovation. The salary is competitive.
Application / Contact Please submit your application at your earliest convenience, but no later than 18 August 2025 , using the following link: https://intranet.basel.institute/job/apply/54 . Applications will be reviewed on a rolling basis. For further information about this position, please contact [email protected]
Apply
www.unibas.ch