Lediga job som Riskhanterare

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.

• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.

• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.

• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.

• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.

• Experience in data assembling and analysis of large datasets.

• Experience in SQL, querying and manipulating large databases.

• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.

• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.

• Experience from working in Microsoft Azure.

• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.

• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.

• Excellent collaboration skills, enabling effective teamwork and good team spirit.

• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.

• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.

• Excellent communication skills in both oral and written English.

• Ready to enjoy working in an international environment with colleagues based in multiple locations.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes. Read more here.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes. Read more here. 

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-JN1

#LI-Hybrid

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.

• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.

• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.

• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.

• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.

• Experience in data assembling and analysis of large datasets.

• Experience in SQL, querying and manipulating large databases.

• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.

• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.

• Experience from working in Microsoft Azure.

• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.

• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.

• Excellent collaboration skills, enabling effective teamwork and good team spirit.

• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.

• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.

• Excellent communication skills in both oral and written English.

• Ready to enjoy working in an international environment with colleagues based in multiple locations.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes. Read more here.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes. Read more here. 

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-JN1

#LI-Hybrid

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.

• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.

• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.

• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.

• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.

• Experience in data assembling and analysis of large datasets.

• Experience in SQL, querying and manipulating large databases.

• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.

• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.

• Experience from working in Microsoft Azure.

• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.

• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.

• Excellent collaboration skills, enabling effective teamwork and good team spirit.

• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.

• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.

• Excellent communication skills in both oral and written English.

• Ready to enjoy working in an international environment with colleagues based in multiple locations.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes. Read more here.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes. Read more here. 

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-JN1

#LI-Hybrid

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.

• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.

• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.

• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.

• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.

• Experience in data assembling and analysis of large datasets.

• Experience in SQL, querying and manipulating large databases.

• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.

• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.

• Experience from working in Microsoft Azure.

• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.

• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.

• Excellent collaboration skills, enabling effective teamwork and good team spirit.

• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.

• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.

• Excellent communication skills in both oral and written English.

• Ready to enjoy working in an international environment with colleagues based in multiple locations.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes. Read more here.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes. Read more here. 

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-JN1

#LI-Hybrid

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.

• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.

• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.

• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.

• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.

• Experience in data assembling and analysis of large datasets.

• Experience in SQL, querying and manipulating large databases.

• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.

• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.

• Experience from working in Microsoft Azure.

• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.

• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.

• Excellent collaboration skills, enabling effective teamwork and good team spirit.

• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.

• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.

• Excellent communication skills in both oral and written English.

• Ready to enjoy working in an international environment with colleagues based in multiple locations.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes. Read more here.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes. Read more here. 

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-JN1

#LI-Hybrid

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.

• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.

• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.

• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.

• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.

• Experience in data assembling and analysis of large datasets.

• Experience in SQL, querying and manipulating large databases.

• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.

• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.

• Experience from working in Microsoft Azure.

• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.

• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.

• Excellent collaboration skills, enabling effective teamwork and good team spirit.

• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.

• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.

• Excellent communication skills in both oral and written English.

• Ready to enjoy working in an international environment with colleagues based in multiple locations.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes. Read more here.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes. Read more here. 

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-JN1

#LI-Hybrid

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.

• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.

• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.

• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.

• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.

• Experience in data assembling and analysis of large datasets.

• Experience in SQL, querying and manipulating large databases.

• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.

• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.

• Experience from working in Microsoft Azure.

• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.

• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.

• Excellent collaboration skills, enabling effective teamwork and good team spirit.

• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.

• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.

• Excellent communication skills in both oral and written English.

• Ready to enjoy working in an international environment with colleagues based in multiple locations.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes. Read more here.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes. Read more here. 

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-JN1

#LI-Hybrid

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.

• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.

• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.

• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.

• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.

• Experience in data assembling and analysis of large datasets.

• Experience in SQL, querying and manipulating large databases.

• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.

• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.

• Experience from working in Microsoft Azure.

• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.

• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.

• Excellent collaboration skills, enabling effective teamwork and good team spirit.

• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.

• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.

• Excellent communication skills in both oral and written English.

• Ready to enjoy working in an international environment with colleagues based in multiple locations.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes. Read more here.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes. Read more here. 

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-JN1

#LI-Hybrid

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.

• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.

• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.

• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.

• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.

• Experience in data assembling and analysis of large datasets.

• Experience in SQL, querying and manipulating large databases.

• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.

• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.

• Experience from working in Microsoft Azure.

• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.

• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.

• Excellent collaboration skills, enabling effective teamwork and good team spirit.

• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.

• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.

• Excellent communication skills in both oral and written English.

• Ready to enjoy working in an international environment with colleagues based in multiple locations.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes. Read more here.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes. Read more here. 

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-JN1

#LI-Hybrid

• Act as the subject matter expert in third-party (outsourcing) risk and financial crime risk.

• Play a key role in strengthening and developing Swedbank Hypotek’s risk management and governance framework.

• Drive strategic initiatives and represent Swedbank Hypotek in relevant forums, projects, and stakeholder discussions.

• Coordinate and drive the oversight process for outsourced services by supporting contract owners across Swedbank AB and the Savings Banks, ensuring effective governance, stakeholder alignment, and timely delivery of key activities.

• Advise and support business, and regularly report to senior management and the Board.

• Monitor regulatory developments and drive the implementation of regulatory changes.

• Develop ways of working, e.g. templates, controls, reporting, and processes to enhance quality and efficiency.

• Collaborate with Group functions, material subsidiaries, and other key stakeholders.

• Work closely with colleagues within the Risk & Governance function.

• Work experience from the financial sector.

• Experience working with risk-related matters, preferably within outsourcing or financial crime.

• Experience driving initiatives and collaborating with different stakeholders.

• Strong analytical and problem-solving skills.

• Excellent communication skills in Swedish and English.

• Personal and professional growth through self-leadership and continuous development.

• Meaningful work that positively impacts our workplace, our customers, and society.

• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.

• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.

• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

You will become part of a highly engaged team where collaboration, knowledge sharing, and continuous development are at the heart of everything we do. In this key role, you will help strengthen Swedbank Hypotek's work on third-party risk and financial crime risk, collaborate with stakeholders within the group, and drive important risk initiatives." Natalie Kling, your future manager

Location: Sundbyberg

Recruiting manager: Natalie Kling

We may begin the selection during the application period, so we welcome your application as soon as possible.

We would like to let you know that a background check and a drug test may be a part of the process for this role.

We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

#LI-Hybrid

#LI-JN1