Senior AML / Financial Crime Risk Specialist
SkillHuset Sweden AB · Stockholm · Tills vidare · Deadline 2026-11-04
SkillHuset Sweden AB is seeking a **Senior AML / Financial Crime Risk Specialist** to deliver a tactical risk-scoring solution using GCRSM v3 for NLP DK. The role focuses on updating governance and process documents to support business-as-usual operations, gathering data sourcing requirements to enable reliable customer risk scoring, and performing gap analyses between local risk-scoring models and GCRSM. Key duties also involve working with the second line of defence Model Validation Team to ensure timely validation, testing, documentation, and approvals in line with model risk guidance, alongside conducting impact assessments across customer segments and providing subject matter expertise for daily programme implementation issues. Applicants must have a **strong Anti-Financial Crime Risk background** that includes an understanding of financial crime risk frameworks, regulatory scope, and risk rating methodologies and models, specifically model calibration and tuning. Candidates are required to have experience working on **AML change programmes**, strong skills in drafting model and process documentation, the ability to work independently to support technology change deliveries, and **English proficiency** in both speech and writing. Familiarity with tools such as SQL, Tableau, Power BI, or cloud platforms including AWS, GCP, or Azure is considered an advantage.
Responsibilities
Delivery of Tactical Risk scoring Solution (using GCRSM v3) for NLP DK including updating required governance and process documents to support NLP DK in BAU.
Gathering requirements on Data Sourcing to support reliable Risk Scoring of all NLP DK customers
Gap analysis and assessments of Local NLP DK Risk Scoring models against GCRSM, ensuring all relevant Specific risks are captured in GCRSM or mitigated (e.g. via additional Red Flags/Overrides)
Engaging with 2LoD Model Validation Team ensuring timely validation of implementation of tactical GCRSM Scoring solution, ensuring all required documentation, testing and approvals in place in line with Model Risk Guidance
Running and socialising Impact assessments on GCRSM for NLP DK Customer segments
Managing day to day issues related to tactical risk scoring solution implementation and providing SME support to the programme
Must-have knowledge and experience
- • Strong Anti-Financial Crime Risk Background, with an understanding of the Financial Crime risk Framework and regulatory scope particularly an understanding of Financial Crime Risk Rating Methodologies and Models including Model Calibration & Tunning.
- • Experience working on AML Change programmes.
- • Strong document creation skills, particularly in drafting Model and process documents.
- • Very structured and detail oriented with an ability to work independently to support delivery of technology changes
- • Strong Team player with good Communications skills
- • English (spoken & Written) required.
- Nice-to-have knowledge and experience
- Familiarity with tools such as SQL, Tableau, Power BI, or cloud platforms (AWS, GCP, Azure).