Data Analyst – Credit Risk Analytics (w/m/d)

at  ING

Do numbers, data and analyses make your heart leap with joy? Are you familiar with risk data and credit risk processes such as credit onboarding, in-life processes and rating? Do you appreciate a corporate culture in which people meet at eye level, learn from each other, and CVs are allowed to be colourful? Perfect! Take the next step in your career and join our international team of specialists in the Credit Risk division, ensuring security and quality. To get started, just send us your CV!

Your Tasks

• Collecting, consolidating, and analysing data to draw the right conclusions for reports and models in credit risk management are part of your daily business.
• When it comes to data requirements and data quality, we can rely on your analytical skills, and you prepare the necessary documentation to describe the process of data provision for credit risk models accurately.
• To ensure that the data feeding processes for risk models run even more smoothly, you are also involved in developing automatic processes.
• You identify trends and patterns early on and continually review the status quo regarding data flows, reports, and dashboards – with the aim of exploring optimisation potential.
• You master your craft with ease, using tools and systems for data extraction and data consistency checks, and you establish quality rules, controls, and standards.
• In short: you’re our ace when it comes to analysing data for credit risk.

Your Profile

• Quantitative studies, preferably in econometrics, mathematics, physics, computer science, economics
• Experience in the lending business (individuals, legal entities), credit processes and loan life cycles
• Several years of experience in working with credit risk reports, provisions (IFRS9), PD, LDG, EAD
• Expertise in SQL, basic knowledge of programming in SAS, Python and R is an advantage
• Adept at interpreting data based on the information and assumptions gathered
• Meticulous, solution-oriented, and precise way of working
• Independent, team-oriented, proactive, and structured
• Strong willingness to learn
• Proficient in German and English, verbal and written

We offer many benefits

• Company pension plan, capital-building offers, free Deutschlandticket & bicycle leasING, company restaurant
• Hybrid working: In addition to working in the office, you can also work remotely – within operational, regulatory and legal requirements.
• Individualized work schedule models, sabbatical, subsidization of nursing & childcare costs
• Personal budget for continuing education and development as well as health; plus, a personal budget to set up your mobile working space

Ready for a new job?
At ING we are colorful and diverse: different personalities with different perspectives - an international culture where we value and appreciate each other. We believe in substance over style, people instead of labels.
This describes you to a T?
Simply apply online - your resume is all we need to get to know you, a cover letter is optional!

• Collecting, consolidating, and analysing data to draw the right conclusions for reports and models in credit risk management are part of your daily business.
• When it comes to data requirements and data quality, we can rely on your analytical skills, and you prepare the necessary documentation to describe the process of data provision for credit risk models accurately.
• To ensure that the data feeding processes for risk models run even more smoothly, you are also involved in developing automatic processes.
• You identify trends and patterns early on and continually review the status quo regarding data flows, reports, and dashboards – with the aim of exploring optimisation potential.
• You master your craft with ease, using tools and systems for data extraction and data consistency checks, and you establish quality rules, controls, and standards.
• In short: you’re our ace when it comes to analysing data for credit risk