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Senior Data Risk Analyst for Data Validation team

ExperiencedNo visa sponsorship
Danske Bank logo

at Danske Bank

Investment Banking

Posted 4 days ago

No clicks

**Senior Data Risk Analyst for Data Validation Team** Validate critical risk data, ensuring compliance with BCBS 239 principles. Collaborate cross-functionally to enhance risk aggregation and reporting.based in Vilnius, Lithuania, with a hybrid work model. **Responsibilities:** - Perform hands-on data analysis to understand structures, quality issues, and business logic. - Execute validation checks, investigate data issues, and propose solutions. - Develop and implement data validation processes and controls. - Support head of unit and collaborate with stakeholders to explain data challenges and gaps. **Requirements:** - Motivated to create tangible value, comfortable working directly with data. - Initial familiarity with data-related risks, data management, and BCBS 239. - Foundational understanding of risk areas, interest in risk reporting. - Dynamic approach, strong communication skills. **Benefits:** - Monthly salary range: €3280-€4820 gross. - Employee benefits package, including growth opportunities, health & well-being initiatives, hybrid working conditions, additional leave, and monetary compensation.

Compensation
€3,280 – €4,820 EUR

Currency: € (EUR)

City
Vilnius
Country
Lithuania

Full Job Description

Location: Vilnius, Lithuania

In Group Risk Management, you will be part of a department that validates critical risk information and models across the organisation. As part of the data validation function, you will help ensure our end-to-end processes comply with BCBS 239 principles and support effective risk aggregation and reporting in close collaboration with experts and stakeholders across many teams.


About the team
You will join a small team based in Copenhagen and Vilnius, where we are still shaping our set-up and ways of working. As a newly established function, you will have a real opportunity to shape how we operate, bring new ideas and help us work smarter and more efficiently to increase our impact.


About the role 
In this role, you will contribute to building a strong foundation for effective risk management by helping to ensure that data is accurate, consistent and reliable. You will work directly with data, using a structured and analytical approach to support the quality of our risk reporting and decision-making. Together with colleagues and stakeholders across the organisation, you will play an important role in developing and maturing our data validation framework and practices.

This position is based in Vilnius, Lithuania. Danske Bank supports a high degree of workplace flexibility (our team is currently using a hybrid working model, where we work at least 3 days a week in the office.)

This role does not offer the relocation package.

You will:

    Perform hands-on data analyses to understand data structures, quality issues and business logic
    Execute data validation checks, and investigate data issues to pinpoint root causes and propose pragmatic solutions to help secure the accuracy and integrity of data
    Contribute to the development and implementation of data validation processes and controls
    Support the head of the unit and colleagues in preparing and presenting reports on data validation activities and findings
    Collaborate with stakeholders across the 3 lines of defence to understand data challenges and help explain gaps identified through validation

About you:
You are motivated by creating tangible value and are eager to look for better ways of doing things. You are comfortable working directly with data such as reading data scripts and performing your own data analyses, and you are not afraid to step into areas where you are not yet the expert. You enjoy working in a collaborative environment where knowledge is shared and are keen to both learn from others and gradually contribute with your own insights.
    A curious and structured mindset and a willingness to explore new approaches and ways of working
    Initial familiarity with data-related risks, their assessment and mitigation, and ideally some exposure to data management and BCBS 239
    Foundational understanding of one or more risk areas such as market, credit, operational or sustainability risk, and an interest in building skills within risk reporting
    A dynamic and flexible approach that enables you to work professionally with topics beyond your current core expertise
    Good communication skills, enabling you to explain complex data issues in a clear and concise way to both technical and non-technical stakeholders

We offer:


Monthly salary range from 3280 EUR to 4820 EUR gross (based on your competencies relevant for the job).
Additionally, each Danske Bank employee receives employee benefits package which includes:
o    Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
o    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.
o    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.
o    Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
o    Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.


See all the benefits HERE.


Your job function (position) in the job contract will be Risk Methodology & Model Validation 


If you're interested in this role and joining my team, feel free to contact me - Marie Holm Steenstrup, Head of Data Validation via mhst@danskebank.dk or via Linkedin. Please include a short motivation for applying for the job as part of your resume. The interviews will be taking place on an ongoing basis.

Senior Data Risk Analyst for Data Validation team

Compensation

€3,280 – €4,820 EUR

City: Vilnius

Country: Lithuania

Danske Bank logo
Investment Banking

4 days ago

No clicks

at Danske Bank

ExperiencedNo visa sponsorship

**Senior Data Risk Analyst for Data Validation Team** Validate critical risk data, ensuring compliance with BCBS 239 principles. Collaborate cross-functionally to enhance risk aggregation and reporting.based in Vilnius, Lithuania, with a hybrid work model. **Responsibilities:** - Perform hands-on data analysis to understand structures, quality issues, and business logic. - Execute validation checks, investigate data issues, and propose solutions. - Develop and implement data validation processes and controls. - Support head of unit and collaborate with stakeholders to explain data challenges and gaps. **Requirements:** - Motivated to create tangible value, comfortable working directly with data. - Initial familiarity with data-related risks, data management, and BCBS 239. - Foundational understanding of risk areas, interest in risk reporting. - Dynamic approach, strong communication skills. **Benefits:** - Monthly salary range: €3280-€4820 gross. - Employee benefits package, including growth opportunities, health & well-being initiatives, hybrid working conditions, additional leave, and monetary compensation.

Full Job Description

Location: Vilnius, Lithuania

In Group Risk Management, you will be part of a department that validates critical risk information and models across the organisation. As part of the data validation function, you will help ensure our end-to-end processes comply with BCBS 239 principles and support effective risk aggregation and reporting in close collaboration with experts and stakeholders across many teams.


About the team
You will join a small team based in Copenhagen and Vilnius, where we are still shaping our set-up and ways of working. As a newly established function, you will have a real opportunity to shape how we operate, bring new ideas and help us work smarter and more efficiently to increase our impact.


About the role 
In this role, you will contribute to building a strong foundation for effective risk management by helping to ensure that data is accurate, consistent and reliable. You will work directly with data, using a structured and analytical approach to support the quality of our risk reporting and decision-making. Together with colleagues and stakeholders across the organisation, you will play an important role in developing and maturing our data validation framework and practices.

This position is based in Vilnius, Lithuania. Danske Bank supports a high degree of workplace flexibility (our team is currently using a hybrid working model, where we work at least 3 days a week in the office.)

This role does not offer the relocation package.

You will:

    Perform hands-on data analyses to understand data structures, quality issues and business logic
    Execute data validation checks, and investigate data issues to pinpoint root causes and propose pragmatic solutions to help secure the accuracy and integrity of data
    Contribute to the development and implementation of data validation processes and controls
    Support the head of the unit and colleagues in preparing and presenting reports on data validation activities and findings
    Collaborate with stakeholders across the 3 lines of defence to understand data challenges and help explain gaps identified through validation

About you:
You are motivated by creating tangible value and are eager to look for better ways of doing things. You are comfortable working directly with data such as reading data scripts and performing your own data analyses, and you are not afraid to step into areas where you are not yet the expert. You enjoy working in a collaborative environment where knowledge is shared and are keen to both learn from others and gradually contribute with your own insights.
    A curious and structured mindset and a willingness to explore new approaches and ways of working
    Initial familiarity with data-related risks, their assessment and mitigation, and ideally some exposure to data management and BCBS 239
    Foundational understanding of one or more risk areas such as market, credit, operational or sustainability risk, and an interest in building skills within risk reporting
    A dynamic and flexible approach that enables you to work professionally with topics beyond your current core expertise
    Good communication skills, enabling you to explain complex data issues in a clear and concise way to both technical and non-technical stakeholders

We offer:


Monthly salary range from 3280 EUR to 4820 EUR gross (based on your competencies relevant for the job).
Additionally, each Danske Bank employee receives employee benefits package which includes:
o    Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
o    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.
o    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.
o    Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
o    Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.


See all the benefits HERE.


Your job function (position) in the job contract will be Risk Methodology & Model Validation 


If you're interested in this role and joining my team, feel free to contact me - Marie Holm Steenstrup, Head of Data Validation via mhst@danskebank.dk or via Linkedin. Please include a short motivation for applying for the job as part of your resume. The interviews will be taking place on an ongoing basis.