Credit Risk Modelling Data analyst

Company:
Location: Brussels

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Credit Risk Modelling Data Analyst

CDI, Full Time, Brussels
Function Classification : G - H

Your role & work environment

You will work in the Operational Credit Risk Modeling team, whose mission is to understand, implement and maintain operational credit scoring models, as developed by the modelers, as well as report on them. As a Credit Risk Modelling Data Analyst, you understand from a business perspective these credit scoring models & all credit decision rules following the ING Policy. You are responsible for analyses on Model results and reporting on CDM production in collaboration with the stakeholders (when the rules change), and you are capable in analyzing and interpreting evolution in accordance with Business strategy to support Risk Management in taking correct decisions. You will work in a dynamic team, at the forefront of model-driven credit acceptance of the bank.

Your key responsibilities

Change management of modeling processes

  • You gather and understand the business data, make analysis with the team, search for solutions and after you have been trained for it, you will also be able to implement new rules/ smaller adaptation and test these correctly (simulate)
  • You participate in modeling projects as data expert

Daily management of modeling processes

  • You manage the operational modeling processes via the tooling in place and also have sufficient knowledge of and can use SAS for further analysis and reporting.
  • You monitor, report on and understand the data to explain results to business stakeholders
  • You ensure the data quality within these processes

User support regarding modelling processes

  • You write and maintain an up-to-date documentation
  • You perform data analyses and simulations
  • You answer to the questions of the end-users

We look for

A colleague with a talent for taking it on and making it happen, enthusiasm for helping others to be successful and a knack for always being a step ahead. In other words, you strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment. You are a naturally collaborative person who listens and invests in others to achieve common goals. You love to challenge the status quo and are eager to propose creative solutions to problems.

As a Credit Risk Modelling Data Analyst , you will also need:

  • A graduate degree in engineering or IT, or equivalent by experience
  • A good knowledge of SAS Programming, SAS Enterprise Guide and SAS Data Integration Studio
  • You like working with and are interested in data, programs, new tooling, and pay attention to details and data quality
  • Experience in Credit Risk - operational modelling is a plus
  • You are pro-active, you can work autonomously and are stress resistant.
  • You have good communication skills and you can adapt to your audience. You are fluent in English. The knowledge of the national languages is an asset

We offer you

A clear purpose, a unique offer and a range of flexible compensation and other benefits:

  • Personal growth & challenging work with endless opportunities to realize your ambitions
  • An informal, dynamic environment with innovative colleagues supporting your endeavors
  • A progressive and agile way of working, where new ideas are valued ahead of convention

Furthermore, within the Risk Intelligence & Provisioning, Modelling & Decision department, you can count on a range of opportunities to invest in your personal and professional growth with:

Fill in the opportunities specific within your department.

  • Challenging projects, aligned with ING's challenging forward looking strategy
  • A dynamic and flexible work environment
  • Training opportunities

We redefine banking. What about you?

There has never been a more interesting time to work at ING. We’re on a journey that’s centered around our customers, powered by technology and driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We ’re proud of that!

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