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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.

Results (34)

  • Senior Specialist - Credit Risk Modelling

    You have an academic degree (BSc or MSc) in econometrics, quantitative methods, statistics, mathematics, physics or a similar quantitative field Sound knowledge of statistical modelling and econometric methods Experience with statistical programming (e.g. Python, SAS) Experience with credit risk model development and/or validation, regulatory (Basel/IRB, IFRS9) and/or non-regulatory (e.g. credit approval models) Modelling of recovery processes

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  • Road Manager Model Validation

    You are an enthusiastic, communicative and energizing personality who can strengthen our squads with excellent organizing, stakeholder management and planning skills; You are a team player with a proactive, positive and result-oriented attitude, combining a well-organized approach with a good sense of organization sensitivity. You are a naturally collaborative person, who listens and invests in others to achieve common goals; You are transparent, embrace the agile mentality and have the personality and ability to put a stick in the ground when needed; You have an academic degree in economics or quantitative field with background in and affinity with models; You have at least 3 - 5 years related work experience in risk management and/or  the modelling domain; You have experience in planning & organizing multiple projects simultaneously, using various reporting tools, e.g. dashboards, presentations, resource estimates; You have the trained ability to take into account the suitability/ and timeliness of the solution; You are organized, accurate, detail oriented and able to bring strategic issues into concrete actionable plans; You have excellent communication and stakeholder management skills, you get energy from solving planning puzzles & issues, you are persuasive and feel comfortable to interact with senior management; You have experience in the Agile way of working and an interest in progressing with this; You have fluent communication skills in English both verbally and in writing; You are prepared to travel occasionally. Main base is Warsaw.

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  • Trainee -Credit Risk Modelling

    You are student (years 3-5) in the field of Econometrics, Economics, Statistics, Mathematics/Physics or similar; Willingness and ability to learn quickly and effectively; Knowledge of and experience with statistical modelling; Experience with statistical programming (SAS, Python, R).

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  • Chapter lead – Data Standardization (Risk Area)

    You are open for other people and eager to take on new challenges; You are passionate about working with people and developing talents of others make you fulfilled; You prefer to concentrate on quality, innovation of created products and people development instead of project management; You want to deal with designing and building data mart and analytical base tables and automation applications for risk modelling; You want to be responsible for team of up to 25 people; You have min. 5 years of experience working with data warehousing, ETL, data marts, big data related products or projects; You know how to code in SQL, how to design a data model, build ETL process and create automation in building statistical or machine learning models; You have higher education (preferably IT)

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  • Chapter lead – Data Analytics (Risk Area)

    You are open for other people and eager to take on new challenges;bYou are passionate about working with people and developing talents of others make you fulfilled; You prefer to concentrate on quality, innovation of created products and people development instead of project management; You want to deal with a team skilled in data preparation and analysis for risk modelling; You want to empower you team to automate and optimize how we work with data and statistical models;  You want to be responsible for team of up to 25 people; You have min. 5 years of experience working with data analytics or reporting in banking or financial industry; You know how to code in SQL, SAS 4GL or Python;  You have higher education (preferably IT, Banking, Quantitative Studies, Mathematics); You are excellent team player, persistent, service oriented, people centric, eager to learn; You would like to work in an international environment focused on creativity and modernity; You speak English on a very good level (C1 or above)

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  • Chapter Lead in ALM modelling

    Experience in team management; Excellent communication and presentation skills, advanced level of English (C1 or above); An academic degree (MSc or PhD) in econometrics, quantitative methods, statistics, mathematics, physics or a similar quantitative field; Sound knowledge of statistical modelling and econometric methods; Experience with statistical programming (e.g. Python) ; At least 8 years’ experience with: o   Development and/or validation of behavioural models such as prepayment models o   Replication (hedging) models o   Risk measurement and Economic Capital; Good knowledge of financial regulation (Basel, EBA); Knowledge of stochastic interest rate models

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  • Python developer in Credit Risk Modelling (Expert)

    Ypu have an academic degree (MSc or PhD) in computer science, mathematics, physics, statistics, econometrics, quantitative methods, or a similar quantitative field; Strong knowledge of statistical modelling and econometric methods; At least 3 years of experience with statistical programming in Python (including knowledge of Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn); Knowledge of and experience with advanced statistical techniques such as Bayesian modelling, Monte Carlo, neural networks, etc.; Experience with databases, data modelling, data preparation and data quality control

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  • Python developer in Credit Risk Modelling (Specialist)

    You have an academic degree (BSc or MSc) in computer science, mathematics, physics, statistics, econometrics, quantitative methods, or a similar quantitative field; Strong knowledge of statistical modelling and econometric methods; Experience with statistical programming in Python (including knowledge of Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn); Knowledge of and experience with advanced statistical techniques such as Bayesian modelling, Monte Carlo, neural networks, etc.; Experience with databases, data modelling, data preparation and data quality control 

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  • Quantitative analyst with introduction training

    You are data scientist, machine learning / quantitative specialist or an expert, PhD or MSc or want to become one and you have a academic knowledge of those fields; You would like to develop your skills or get into credit risk model validation; You want to participate in intensive (100% of worktime) 3 months training program for modelling methodology, coding, quantitative and data science skills, organized at the beginning of your journey with us; You would like to be trained in dedicated squad by experts in their fields focused only on developing new people; You have a degree (MSc or higher) in a quantitative/numerical, mathematics, physics, statistical field; You have an basic or working knowledge in SAS or similar tool (Python, R) programming; You have knowledge in one or more of the fields: machine learning, data science, statistical tools, modelling techniques; You are characterized by an analytical and critical attitude; You enjoy checking, validating and looking for new ways to build models;  You are fluent in both spoken and written English for business.

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  • Junior Specialist - ALM Modelling

    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 experience with statistical programming (e.g. Python, R)

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