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Data Analyst for AML Review Tribe (Data Foundation)
Danske Bank Lithuania
Data Analyst for AML Review Tribe (Data Foundation)
Danske Bank Lithuania
Data Analyst for AML Review Tribe (Data Foundation)
Danske Bank Lithuania

Data Analyst for AML Review Tribe (Data Foundation)

Danske Bank Lithuania

Area

We are at the forefront of Danske Bank’s efforts to combat financial crime. We believe that high-quality software and software development expertise are the keys to creating effective and high-value solutions.

We believe in our mission to develop one place to go for all of Danske Bank that prevents and counters money laundering. To do this, we need creative minds and highly motivated people with pioneer spirit and courage to improve how we do things.

You will work in a non-traditional banking environment closely with business analysts, architects, leaders and data scientists in a modern, cross-border/multicultural team.

As the bank faces increasing demand for reporting to authorities for the foreseeable future, we’re focusing on building automated systems.

We are looking for a data analyst with a flair for requirement gathering and stakeholder management. You will extract, validate and analyze data supporting regulatory risk decisions in the AML area.

You will be part of the AML Review Tribe and work closely with other colleagues in a squad fulfilling its mission. You’ll also belong to the AML Review Data Analytics & Engineering chapter, where we encourage learning and co-creating culture and act as sparring partners. The chapter unites curious experts who utilize technology and risk skills to find data trends to solve business challenges. All this is done following the agile practices for us to become an even Better Bank.

You will:

  • Analyze data and develop AML Review tools and systems
  • Be responsible for data discovery, data profiling, data modelling and translating high-level business requirements into ETL specifications (MS SQL, Alteryx and others)
  • Combine raw information from different sources, produce meaningful analysis and establish trends
  • Generate reports to deliver insights, including ad hoc data extraction
  • Develop processes for data acquisition, data transformation, data migration, data verification and data monitoring
  • Guide integration of data analysis in recurring reporting and data marts
  • Be proactive and a team member believes that collaboration with colleagues is the key to success
  • Maintain proper documentation of your findings and data

About you:

  • Have an academic background in Computer Science, Statistics, Mathematics or similar
  • Experienced in data modelling and profiling with a deep understanding of data consumption-oriented structures like Marts, Cubes and Star Schemas
  • Experienced working with systems producing and consuming large amounts of data, ETL tools – MS SQL, SSIS, IBM DataStage or similar
  • Have good communication and interpersonal skills, the ability to make decisions in a rather complex environment
  • Experienced in working with Agile methodologies
  • Advanced English language skills

We offer

Monthly salary range from 2480 EUR to 3720 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; health insurance from the first day of employment; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
  • Hybrid working conditions: 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.
  • Canteen services and free fruits
  • 24/7 gym services and group trainings
  • Health insurance from the first day of employment
  • 100+ partners' offers & discounts
Mėnesinis bruto atlyginimasBruto/mėn.  € 2480 - 3720

Vietovė

    Vilnius, Vilniaus apskritis, Lietuva

Laikas

  • Visa darbo diena

Kalbos

  •  Anglų
  •  Lietuvių
Kontaktinis asmuo
Data Analyst for AML Review Tribe (Foundation)
In Danske Bank Lithuania we gathered smart, innovative and open colleagues with can-do mindset, who are reimagining banking services and creating an ingenious product portfolio, and at the same time – ensure smooth daily operations of the entire Danske Bank Group.

Consider us as “the engine of the bank” – while we do not provide banking services to customers in Lithuania, we are the brain and muscle behind many of Danske Bank’s services to our global customers. Our high-quality delivery and can-do approach led us to becoming a strategic site for Danske Bank, an international community of 22,000+ colleagues worldwide.

Danske Bank Lithuania is Danske Bank’s strategic unit, providing finance, IT and global business services to serve our customers worldwide. We are on a journey to push the banking boundaries and make constant improvements in how we operate. We aim to do this by combining the best of two worlds: the strengths of what Danske Bank has built over 150 years and the approach of start-ups to what we are going to create in the future.

We see diversity as our potential, and the cornerstone of our company’s success, that will ensure our continued competitiveness and innovative strength.

We try to create an inclusive workplace where differences are our strengths and where people feel valued and can realise their full capabilities.

Because of that, the critical focus point for us is to be able to recruit, develop and retain employees without attaching any specific labels to them.



Įmonės tinklalapishttps://job.danskebank.lt/

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