Senior Data Analyst in Risk Area

Full-time#Data #Senior #Power BI #Python #SQL

Location: Warsaw, Poland
Employment: Full-time
Posted: 2 days ago

About the job

At ING we value and support our employees before recruiting external talent. If you think this vacancy is the right next step in your ING career, we’d encourage you to apply.

ING Hubs Poland is hiring!

The expected salary for this position: 9600 – 18000 PLN

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We are looking for you, if you have

at least 3 years of professional experience,
hands-on working experience with SQL/PL SQL/T-SQL,
working experience in a bank or financial institution,
working experience in cooperation with stakeholders, requirements gathering & analysis,
knowledge of techniques used in business analysis.

English level - C1

You'll get extra points for

knowledge of Risk aspects in a Bank,
knowledge of Compliance in a Bank,
knowledge of AML (including screening processes) in a Bank,
experience in working with Agile / Scrum,
hands-on working experience with one of the visualisation tools eg. Power BI,
hands-on working experience with SAS 4GL/Python.

Your responsibilities

performing data analytical activities: reports preparation, sources investigation, automations,
performing analysis to assess quality and meaning of data,
analysis of internal and external regulations,
communication with stakeholders, gathering & analysis of the requirements,
analysis of the processes and proposals for improvements,
preparation of functional documentation.

Information about the team

We are looking for Senior Data Analyst to join the squad under Integrated Risk Team, which is part of ING Belgium Local Unit. The aim of the team is to modify existing processes to improve their effectiveness, efficiency and implement changes related to technologies that are currently used. The squad is also responsible for preparation of risk reports in a prudent way.

The role naming convention in the global ING job architecture will be "Data Scientist III".

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ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.

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