Modelling Manager at Lowell
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Horsens
Are you ready to explore the possibilities of advanced analytics to make credit work better for all? And you would you like to search for new use cases for data driven methodologies where we could improve our processes, customer experience and business overall. If yes, then you might be our new Modelling Manager.
Lowell Operational Analytics – linking business decisions with quantitative modelling and data
Lowell is an international Credit Management concern that serves the credit management value chain. Our mission is to make credit work better for all. We have expertise within debt purchasing, third party collections, business process outsourcing, credit management and value-added services. We now have more than 4000 employees in 8 countries, and you will be part of our Nordic region.
Detail-oriented data professional with technical skills and the ability to manage projects
As our new colleague in Lowell, you will help to further enhance our capabilities in steering the way our operations utilize data and advanced modelling techniques in our processes.
Your unique understanding of the technical concepts around modelling, advanced analytics, machine learning and their deployment is central for your tasks and projects. Therefore, your capability to gather data and assess the possibilities of solving our business problems with the before mentioned methodologies is pivotal for business. Combining this with your project management skills, the ability to push the development initiatives forward, calculating business cases, planning the projects and communicating effectively with all the stakeholders is how you’ll succeed in your role.
WE OFFER
what you get:
RESPONSIBILITIES
what you are going to do:
QUALIFICATIONS
we expect that you:
SKILLS
we expect that you:
JOBSTART & TYPE
MORE INFO?
For further information, please contact Head of Ops Analytics, Lauri Kiviranta, at [email protected]
Kilde: Jobnet.dk
Lowell Operational Analytics – linking business decisions with quantitative modelling and data
Lowell is an international Credit Management concern that serves the credit management value chain. Our mission is to make credit work better for all. We have expertise within debt purchasing, third party collections, business process outsourcing, credit management and value-added services. We now have more than 4000 employees in 8 countries, and you will be part of our Nordic region.
Detail-oriented data professional with technical skills and the ability to manage projects
As our new colleague in Lowell, you will help to further enhance our capabilities in steering the way our operations utilize data and advanced modelling techniques in our processes.
Your unique understanding of the technical concepts around modelling, advanced analytics, machine learning and their deployment is central for your tasks and projects. Therefore, your capability to gather data and assess the possibilities of solving our business problems with the before mentioned methodologies is pivotal for business. Combining this with your project management skills, the ability to push the development initiatives forward, calculating business cases, planning the projects and communicating effectively with all the stakeholders is how you’ll succeed in your role.
WE OFFER
what you get:
- A challenging position where you can truly shape the way operations utilizes data and leverage on modern analytical methods
- Being a part of an experienced team where you are able to grow as a professional in a supportive and inspiring environment.
- Flexible working hours, including the opportunity to work from home as per agreement with your leader
- An active staff social club that arranges social events such as sporting events, bowling and parties
- A large and modern office space in Horsens, next to the Football stadium and close to the Highway
RESPONSIBILITIES
what you are going to do:
- Creation and ownership of operations score card / modelling roadmap, participating in the development of the models and validating the results
- Deep subject matter expert in the areas of statistical modelling, advanced analytics and application of data driven methods in operational processes
- Identify areas where modern data driven methodologies (e.g. scorecards, forecast & segmentation models,) could realize in concrete business value
- Form hypotheses based on operations data and test them in practice
- Modelling operations processes to identify improvement areas
- Developing the monitoring framework for the models, ensuring the performance and planning the updating of the models
- Interpreting and communicating the results to relevant stakeholders and giving recommendations based on the findings
- Participating in data analytics development projects
QUALIFICATIONS
we expect that you:
- hold a Master’s in Mathematics, Computer Science, Data Science, Statistics etc
- have hands-on experience in statistical methodologies, advanced analytics and applying them in operative business problems
- have programming experience with Python, R
- have experience working with SQL, Azure or similar
- have experience with project management
- are fluent in English – both written and verbal
SKILLS
we expect that you:
- have an analytical, independent and structured way of working
- have good communication skills
- have the ability to drive advanced analytics development projects from ideation to deployment and monitoring
- have strong data visualization skills and ability for “data storytelling”
- are able to interpret results to insightful analysis and recommendations
JOBSTART & TYPE
- As soon as possible. We will be screening candidates on an ongoing basis
- Full-time
MORE INFO?
For further information, please contact Head of Ops Analytics, Lauri Kiviranta, at [email protected]
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Horsens.
Jobbet er oprettet på vores service den 29.3.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Øvrige
- Horsens
- Mandag den 23. maj 2022
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