Enter the world of ING Tech Poland. Join the team of professionals and implement with us international IT projects.
Every day we work with the finest technologies: Linux, RedHat, Docker, Puppet, Kafka, Zerto, NGINX, GitLab, Angular, Tomcat, Hadoop, Nessuss, Java, Apache, ServiceNow, ElasticSearch, Vmware, .Net and many more. The possibility of working with modern technology gives great satisfaction. Besides, it gives you a lot of experience.
You have an university degree or are a final year student (mathematics, computer science, physics or related subjects); You know the basics of programming and can use them to learn new languages and technologies; You know English to a degree that allows you to communicate effectively with foreign partners and read and produce technical documentation; You want to co-create and develop fraud detection systems in the areas of payment cards, electronic banking and others; You have high analytical skills, allowing you to analyze transactional data and find patterns in it that determine customer or fraudulent behaviour; You can create SQL queries; You know the Office package; You're accurate, you pay attention to detail, you have the ability to find mistakes; You are looking for creative and optimal problem solutions; You can create simple tools to improve tedious operations, such as VBA macros.See more »
You have experience in finance risk area or ALM; You are a problem solver & team player; You have a degree in finance, mathematics or econometrics; You enjoy working with a vast group of stakeholders; You have at least 1 year of experience in similar environment (Bank or IT vendor); You like to coach less experienced team members as well as gaining new knowledge; You speak English (on B2/C1 level).See more »
You have an academic degree in econometrics, quantitative methods, statistics, mathematics, physics or a similar quantitative field; You have knowledge of statistical modelling and econometric methods; You have good knowledge and experience with statistical programming in R.See more »
You have an academic degree (BSc or MSc) in econometrics, quantitative methods, statistics, mathematics, physics or a similar quantitative field; You have sound knowledge of statistical modelling and econometric methods; You have an experience with statistical programming (e.g. Python, SAS); You have an experience with credit risk model development; You have knowledge on IFRS9 standards.See more »
You have an academic degree (BSc or MSc) in econometrics, quantitative methods, statistics, mathematics, physics or a similar quantitative field; You have sound knowledge of statistical modelling and econometric methodsExperience with statistical programming (e.g. Python, SAS)Experience withCredit risk model development and/or validation, regulatory (Basel/IRB, IFRS9) and/or non-regulatory (e.g. credit approval models)Modelling of recovery processesSee more »
You can work with data and models, and draw constructive conclusions based on them; You have professional experience in the area of modeling and / or validation of credit risk, regulatory (Basel / IRB, IFRS9) and / or non-regulatory models (eg credit approval models); You have a university degree (preferred fields of econometrics, quantitative methods, statistics, other exact majors); You are positive about cooperation and group work on the implementation of tasks in an international environmentSee more »
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