Data Analyst for COOR Data Labs
HBP (Amsterdam - Haarlerbergpark), Netherlands
ING is looking for...
We are looking for a curious Data Analyst for COOR Data labs, who is looking forward to bringing our global model data environment to the next level. From your thorough understanding of risk data, you’re able to see how the modelling team can be well serviced with high quality data marts to feed the risk models and tools. Your technical and analytical skills enable you to pre-process the data before model development start using it. Your problem solving and communication skills ensure that even in challenging situations data is delivered, and that stakeholders are properly taken along the process. A successful candidate has proven experience in usage of risk data and querying tools (e.g. sql, SAS).
Are you looking for the opportunity to work with Big Data in the area of risk and to service internal stakeholders with high quality model data, then this job is something to apply for!
Job description
As a model data analyst you will be responsible for:
- documenting the data sets required for modelling in detail and analyze the available data sources for this purpose (where needs the data come from and what filters to apply);
- building prototypes of the data marts that link the data sources with the modelling environment;
- designing data quality checks that serve data quality monitoring;
- supporting the testing process for newly delivered data;
- phasing out ad-hoc solutions for sourcing the model data in favor of automated solutions;
- support model development and related projects;
- communication with the stakeholders in the Business, Model Development and Model Risk Management domains.
Your work environment:
The Risk Data Tribe is part of the ING COO Risk organisation providing reporting, analysis and data services to internal and external stakeholders. Risk Data Tribe follows an agile way of working in which various squads have been defined. These are high performing, self-steering teams each with their own purpose. In one of these squads you will be actively working together with the colleagues from Business, Model Development and/or Model Validation domains to deliver the right data in the right format.
You will be part of an international and enthusiastic team. Openness in communication and “can do” mentality are important characteristics of the department.
We are looking for (expertise):
- MSc in the field of Computer Science, Finance, Economics and/or Mathematics/Statistics;
- 3 - 5 years of experience in a data oriented function, experience should cover both data content knowledge and technical knowledge (i.e. able to build complex sql queries to filter data);
- Expertise in the field of risk and/or finance is a must;
- Expertise in statistical modelling is a pre;
- Experience with Google Cloud Platform is a pre.
Personal skills
- Strong analytical skills, able to structure & solve conceptual and concrete problems;
- Critical mind-set with respect to what is delivered;
- Hands on mentality with regard to data;
- Strong communicator, able to discern key message from the rest;
- Good team player, able to contribute to delivery and team atmosphere in a multi-cultural team;
- Fluency in English both written and verbal (work language).
What do we offer?
- 36 hour working week
- Active coaching on your development points as well as strengths
- An open environment where you can drive change yourself
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Big Data Computer Science Data quality Economics Finance GCP Google Cloud Mathematics ML models SAS SQL Statistics Testing
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