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Data Engineer Risk Analytics
Ikano Bank AB Sweden | Malmö | ikanobank.se |
Ikano Bank is on a journey to become a data driven organization; Data is an asset and we want to make best use of it! We are turning to new technologies, new ways of working and transforming our IT landscape. We create solutions that simplify finance!
As our Data Engineer Risk Analytics, you will work with risk data but in close co-operation with Data Management and all our different markets to understand and prepare data for predictive analytics.
Let's make a difference for the many people!
Ikano Bank AB is strengthening its Risk Analytics team with a Data Engineer. You will join a team of highly motivated and experienced colleagues responsible for all sorts of predictive modelling. You will have a key role in aiding the Risk and Credit Risk functions in their journey to become more data-driven, enabling them to generate the insights needed to provide financial services to the many people on fair terms.
In your assignments as Data Engineer, you will be working closely with several departments across the bank, with a specific focus on Finance, Risk, credit portfolio analysis and regulatory reporting.
Key Responsibilities:
• Set up risk data deliveries from multiple on-prem systems and markets into a centralized cloud data platform to support predictive modelling
• Design, build, and integrate risk data through data pipelines on the bank’s new AWS-based Enterprise Data Platform
• Establish robust and automated controls of incoming data to ensure data integrity and data quality
• Collaborate closely with the Central Data Delivery function to ensure alignment of architecture principles and technologies as well as adherence to Ikano development processes and standards
• Create and maintain data mart models in AWS RedShift specific to the Risk and Credit Risk functions
• Provide data support for developers and analysts within the Risk and Credit Risk functions, as well as other stakeholders
To be successful from start it is an advantage to have experience in AWS technologies and ETL processes.
We offer you
As a Data Engineer, you will participate in setting up a data-driven risk environment. You will work close with team members to secure data from on-prem systems into a modern cloud-based data platform enabling predictive modelling.
You will work with and be supported by the team in understanding and interpret data from a risk perspective.
As part of the Risk Analytics team you will be in the center of events of the bank with opportunity to develop both technically and professionally and build your professional network. We work in an international environment, and you will get the chance to cooperate with colleagues from many different countries and cultures.
This position is more than what meets the eye. You will get the chance to push boundaries and influence your daily work. All as part of a caring and open culture where we live our values, work hard, have fun and operate with a long-term perspective.
The position is located in our office in Hyllie, Malmo.
Are you the one for Ikano?
To be successful in this role we think you need to be naturally curious with a desire to understand our business and users. We think you are a driven and self-motivated person with great attention to details, making sure we deliver accurately and on time.
Experience and skills:
• Graduated with a Bachelor’s or Master’s degree in Computer Science or similar related field/degree.
• Knowledge of Python/Pyspark and SQL (to further strengthen the competence in the bank for a future proof setup)
• Knowledge of AWS technologies and ETL processes (to improve and optimize this platform)
• Understanding of data modelling for data warehouses and predictive modelling (to secure data warehouse is created to support predictive modelling)
• Understanding of data quality and integrity concepts (to develop a trustful, user-friendly data warehouse)
• Knowledge of data architecture and data management best practices.
• Experience from banking or insurance.
• A background in DataOps or AIOps.
Join us now – together we will find a better way
Please apply before 2024-05-23. Please note that we are unable to accept any applications via email. Make sure you send your application as soon as possible as we will be looking at applications throughout the period and may close the recruitment earlier.
We respectfully decline any contact from recruitment or advertisement agencies.
About Ikano Bank AB (publ)
Ikano Bank creates possibilities for better living by offering simple, fair and affordable services, enabling a healthy economy for the many people. Our offer includes savings and loan products for consumers, sales support services for retailers, and leasing and factoring solutions for businesses.
We conduct business in Sweden, Denmark, Finland, Norway, the UK, Poland, Germany and Austria. Ikano Bank is a part of the Ikano Group who owns 51 % of Ikano Bank. Ingka Group, the largest IKEA retailer representing about 90% of IKEA retail sales and operates IKEA sales channels under franchise agreements with Inter IKEA Systems B.V., owns the remaining 49 % of the Bank. Ikano Bank’s head office is located in Malmö, Sweden and the company is registered in Älmhult, Sweden where the business was once founded.
As our Data Engineer Risk Analytics, you will work with risk data but in close co-operation with Data Management and all our different markets to understand and prepare data for predictive analytics.
Let's make a difference for the many people!
Ikano Bank AB is strengthening its Risk Analytics team with a Data Engineer. You will join a team of highly motivated and experienced colleagues responsible for all sorts of predictive modelling. You will have a key role in aiding the Risk and Credit Risk functions in their journey to become more data-driven, enabling them to generate the insights needed to provide financial services to the many people on fair terms.
In your assignments as Data Engineer, you will be working closely with several departments across the bank, with a specific focus on Finance, Risk, credit portfolio analysis and regulatory reporting.
Key Responsibilities:
• Set up risk data deliveries from multiple on-prem systems and markets into a centralized cloud data platform to support predictive modelling
• Design, build, and integrate risk data through data pipelines on the bank’s new AWS-based Enterprise Data Platform
• Establish robust and automated controls of incoming data to ensure data integrity and data quality
• Collaborate closely with the Central Data Delivery function to ensure alignment of architecture principles and technologies as well as adherence to Ikano development processes and standards
• Create and maintain data mart models in AWS RedShift specific to the Risk and Credit Risk functions
• Provide data support for developers and analysts within the Risk and Credit Risk functions, as well as other stakeholders
To be successful from start it is an advantage to have experience in AWS technologies and ETL processes.
We offer you
As a Data Engineer, you will participate in setting up a data-driven risk environment. You will work close with team members to secure data from on-prem systems into a modern cloud-based data platform enabling predictive modelling.
You will work with and be supported by the team in understanding and interpret data from a risk perspective.
As part of the Risk Analytics team you will be in the center of events of the bank with opportunity to develop both technically and professionally and build your professional network. We work in an international environment, and you will get the chance to cooperate with colleagues from many different countries and cultures.
This position is more than what meets the eye. You will get the chance to push boundaries and influence your daily work. All as part of a caring and open culture where we live our values, work hard, have fun and operate with a long-term perspective.
The position is located in our office in Hyllie, Malmo.
Are you the one for Ikano?
To be successful in this role we think you need to be naturally curious with a desire to understand our business and users. We think you are a driven and self-motivated person with great attention to details, making sure we deliver accurately and on time.
Experience and skills:
• Graduated with a Bachelor’s or Master’s degree in Computer Science or similar related field/degree.
• Knowledge of Python/Pyspark and SQL (to further strengthen the competence in the bank for a future proof setup)
• Knowledge of AWS technologies and ETL processes (to improve and optimize this platform)
• Understanding of data modelling for data warehouses and predictive modelling (to secure data warehouse is created to support predictive modelling)
• Understanding of data quality and integrity concepts (to develop a trustful, user-friendly data warehouse)
• Knowledge of data architecture and data management best practices.
• Experience from banking or insurance.
• A background in DataOps or AIOps.
Join us now – together we will find a better way
Please apply before 2024-05-23. Please note that we are unable to accept any applications via email. Make sure you send your application as soon as possible as we will be looking at applications throughout the period and may close the recruitment earlier.
We respectfully decline any contact from recruitment or advertisement agencies.
About Ikano Bank AB (publ)
Ikano Bank creates possibilities for better living by offering simple, fair and affordable services, enabling a healthy economy for the many people. Our offer includes savings and loan products for consumers, sales support services for retailers, and leasing and factoring solutions for businesses.
We conduct business in Sweden, Denmark, Finland, Norway, the UK, Poland, Germany and Austria. Ikano Bank is a part of the Ikano Group who owns 51 % of Ikano Bank. Ingka Group, the largest IKEA retailer representing about 90% of IKEA retail sales and operates IKEA sales channels under franchise agreements with Inter IKEA Systems B.V., owns the remaining 49 % of the Bank. Ikano Bank’s head office is located in Malmö, Sweden and the company is registered in Älmhult, Sweden where the business was once founded.
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