Requisition: IT Data Analyst for AML Review Tribe (CTF Reporting), Vilnius, Lithuania (10263)

10263
IT Data Analyst for AML Review Tribe (CTF Reporting), Vilnius, Lithuania
N/A
Heidi Kelman Christensen
heidikelman.christensen@fujitsu.com
+45 26 23 99 28

You will be part of our client's AML Review Tribe, and will be working closely with other colleagues in a squad with its own mission. You will also belong to the AML Review Data Analysts chapter, where our client is nurturing a learning and co-creating culture as well as acting as communcation partners for each other. Current project is seeking a contractor to speed up the deliveries for developed solutions in various business segments.

About Danske Group IT

Our client is at the forefront of their efforts to combat financial crime. They believe that high quality software and expertise in software development are key when creating effective and high-value solutions.

They believe in their mission to develop one place to go to for all of Danske Bank that prevents and counters money-laundering. To do this, they need bright minds and highly motivated individuals with a pioneer spirit and the courage to challenge the way they do things.

You will work closely in a non-traditional banking environment with engineers, architects, managers and data scientists in a modern, cross-border/multi-cultural team.

They are looking for an IT Data Analyst for AML Review Tribe to deliver proactive analytics to monitor and supervise vulnerable customers. All this is done following the agile practises for them becoming an even better bank.

Responsibilities

• Data analysis and development of AML Review tools and systems
• Data discovery, data profiling, data modelling and translating high-level business requirements into ETL specifications (MS SQL, IBM DataStage and others)
• Combining raw information from different sources
• Generating reports to deliver insights, including ad hoc data extraction
• Developing processes for data acquisition, data transformation, data migration, data verification and data monitoring
• Guiding integration of data analysis in recurring reporting and data marts
• Collaborate with other data analysts and developers to establish data governance, validation and development
• Create an excellent customer experience and ensure data accuracy
• Being proactive and a team player - believing that collaboration with colleagues is the key driver of success
• Responsible for handling and manipulating data, building models, producing meaningful analyses, establishing trends
• Creating operational and insightful actions towards our digital banking strategy

Requirements

Our client expects that you...
• have an academic background in Computer Sciences, Statistics or Mathematics
• are eperienced in data modelling and profiling with a deep understanding of data consumption-oriented structures like Marts, Cubes and Star Schemas
• have experience working with systems producing and consuming large amounts of data, ETL tools - MS SQL, SSIS, IBM DataStage or similar
• are confident in supporting the entire model life cycle,, i.e. from development to production and maintenance
• are experience working with data interfaces from a myriad of different data sources located - and designing historical audit track of these data
• are using dedicated tools to visualise data flows
• have good communication and interpersonal skills, the ability to make decisions in a rather complex environment
• keep an agile mind-set and have good analytical and problem-solving skills
• are experienced working with Agile methodologies
• are fluent in English

It is considered as a benefit if you have...
• experience working with SAS, Alteryx, Python, Hadoop, or similar
• knowledge of BI tools such as Tableau, QlikView, PowerBI, or similar

Our client offers:
• An inspiring environment in a large IT organisation
• Work in an international team which concentrates on innovative business-facing solutions

Location: Remote or on-site in Vilnius, Lithuania
Start date: ASAP
End date: 31-05-2022
Workload: 100%
Language: English (or Danish)
Apply: ASAP
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When applying, please upload your updated consultant CV (in Word format) via https://lnkd.in/efBy_tBm with a relevant project list and provide the following information (in the VMS system):
- Your motivation
- Your expected hourly rate, all inclusive
- Your earliest start date
- The names and phone numbers of two references (in the VMS system) who will only be contacted by prior arrangement with you.

We are presenting consultant profiles for our client on an ongoing basis, so do not hesitate to apply.

Contact
Heidi Kelman Christensen
T: +45 26 23 99 28
E: heidikelman.christensen@fujitsu.com
Analytics (INAN)
Level 3 + Level 4 - Consultant
2021-12-01
2022-05-31
960 Hours
100%

Please click 'Apply', should you be interested in this assignment

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