Model Data Analyst in Amsterdam

We are looking for a curious Model Data Analyst, 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. 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;

• support model development and related projects;

• communication with the stakeholders in the model development and model risk management domains.

Your work environment:

The Management, Reporting & Analytics (MRA) department is part of the ING COORF organisation providing reporting, analysis and data quality assurance & governance services to internal and external stakeholders. MRA 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 Model Development and/or Model Validation 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;

• 5 - 7 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.

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 we offer

A job of 36/40 hours and a unique offer that fits in with the times of today. We take into account your home situation and your ambitions and help you to balance work and private life. Discover yourself our employment

To give you an idea, we will tell you about the benefits of working at ING:

• A salary tailored to your qualities and experience

• Flexible working hours and the possibility to work at home

• A reimbursement for travel expenses

• 24 vacation days with a 36-hour working week. If you work 40 hours a week, you will receive 27 vacation days

• Pension scheme

• 13th month salary

• Individual Savings Contribution (BIS), 3.5% of your gross annual salary

• 8% Holiday payment

• Personal growth and challenging work with endless possibilities to realize your ambitions

• An informal working environment with innovative colleagues who strive for the very best

• Progressive way of working according to the Agile method, so that new ideas come to life