Senior IT Business Analyst in AML Review Tribe

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Our mission in the AML Review Tribe is to protect our customers, society and banks from financial crime by developing highly automated AML due diligence processes to ensure regulatory compliance. If you are interested in fighting financial crime with modern, highly automated processes, then the AML Review Tribe is the place to be.

The CNR and Customer Risk Rating Model Squad build and own solutions that supports accurate customer assessment and automatic data responses to regulatory requests (from FSA, Police, Central Banks, etc). Our Squad comprises a Product Owner, Business and Data Analysts, Developers located in Denmark, Lithuania, and India.

To further enable and leverage your skills mastery, you will also be part of the Business Analyst Chapter within the AML Review Tribe. The Chapter Lead will be your HR manager, supporting and mentoring you to ensure your personal and professional growth. At the same time, you are also responsible for continuously learning and supporting the building up of your chapter’s functional expertise.

You will:

Bridging business requirements and IT capabilities, while striking the balance between being detail-oriented and maintaining a broader perspective
Manage initiatives that leverage data to drive business improvements with strong focus on adherence to compliance standards
Be responsible for collecting business requirements and business logic documentation
Facilitate ongoing collaboration and continuous alignment of expectations within the Squad and broad range of stakeholder across the organisation and external entities
Conduct advanced data analysis to uncover valuable insights and trends, and visualise findings using tools and frameworks
Take part in testing activities and incident management to ensure high solution quality
Actively participate in agile events and chapter knowledge sessions

About you:

2+ years of proven experience in Business Analysis and Data analysis in an IT setting
Strong knowledge of SQL, Tableau tool and proficient in performing data analysis to support business objectives and requirements
Good understanding of IT systems and how various IT systems interact, with an emphasis on data flow and integration
Experienced in the system and regression testing, with the ability to analyse test data to identify trends and issues
Demonstrate proficient problem-solving analytical skills, utilising various analysis methods and techniques, including data analysis and interpretation
Experienced working in an agile environment using software like Jira and Confluence. Furthermore, you are familiar with SCRUM ceremonies like daily stand-up, sprint planning and backlog refinement
Able professionally and clearly communicate with business and technical stakeholders (developers), manage expectations, and ensure alignment between different parties
Advanced English skills

We offer:

Monthly salary range from 3600 EUR to 5400 EUR gross (based on your competencies relevant for the job).

Additionally, each Danske Bank employee receives employee benefits package which includes:

Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.