Expert Team Scoping and Defaults – Data Analysts

Credit risk Models are of paramount importance to ING Wholesale Banking (‘WB’) given that they are covering 50% of ING's capital consumption and provisions. The new CoE WB Models department (formerly part of Capital & Liquidity Expertise Centre / CLEC) is co-owner of ING’s credit risk Models and pivotal in the delivery of the redeveloped WB credit risk models, collaborating with all business lines and countries within the Bank.

The Scoping and Default Expert team will be supporting all data related requests addressed towards the CoE WB Models organization. It participates in the remediation of data, reporting and solving data related issues with a special focus on Scope and Default related data. The team consists of two core profiles / capabilities to make the new set-up a success. Data Analysts for providing detailed data analysis capabilities to support the other teams in their delivery and deliver fact-based reporting and pro-active in-depth analysis and advice. Furthermore, CJE profiles will provide business analysis capacity to analyze trends in the portfolio, improving processes and provide analysis capacity and addressing questions during all phases of the model life cycle (incl. during ECB on-sites).

Your role
We are looking for a Data Analysts, who will become part of the Expert Team Scoping and Defaults. The Data Analysts will collect, analyzes, report on scoping and default data and generates insights for the other teams, Management and business to provide robust evidence to support decision making. The team uses a variety of traditional and novel methods and systems to provide critical data-driven insights.

In your role of Data Analyst VI, you will:

• Monitor WB (technical) default data periodically and liaise with FO/GCR to improve production data and aligns with Operations to improve our operational processes to eliminate (technical defaults)

• Identify model input DQ issues and collaborate with the business to improve quality.

• Periodical scoping reporting for model redevelopment and production data.

• Use data from a wide range of sources to analyze key themes and identify impact on the business.

• Perform complex statistical analysis and utilize mining, modeling, and testing techniques to enable data analysis.

• Provide specialist advice on the interpretation and application of policies and procedures impacting the WB data, resolving complex and contentious queries and issues and enabling others to take appropriate actions.

• Support the Chapter Lead Scoping and Defaults in its secretarial services for Scoping Board and maintaining scoping rules.

Job requirements Data Analyst VI:

We are looking for a candidate with the following knowledge and experience:

• Minimum of 7 years’ experience as Data Analyst

• Experience working with Default, Scope and/or IRB/Risk data is a key requirement

• Knowledge of the relevant credit risk model data requirements and regulations (Definition of Default, customer segmentation, BCBS239).

• Proven problem-solving skills and knack for analytics.

• Experience with statistical data analysis tools (e.g. SAS, R) and reporting tools.

• Good communicator – ability to take knowledge from experts, make complex simple and convey the message in a convincing way to our stakeholders.

• Basic knowledge of credit risk regulations and model concepts (e.g., PD, EAD, LGD).

• Understand basics of Credit Risk and lending IT architecture.

• “Make it happen” mindset and track record.

How to succeed

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we back you to develop into an even more awesome version of yourself.

Rewards & benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life and reward our people with a generous benefits offer and employment conditions. 

Questions?

Contact Alfred-Paul Alfers for more information about this role. Want to apply directly? Please upload your CV and motivation letter by clicking the “Apply” button.