Publicat 26 Mar 2020 | Reactualizat 09 Apr 2020 | Expiră 15 Apr 2020

Risk Data Science Analyst

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Candidatul ideal

Relevant statistical and data management knowledge.
Experience in using SAS and Microsoft SQL.
Ability to use and process large databases, to develop reports and statistics; use mathematical tools and quantitative analytics in order to assess credit portfolios.
Ability to use presentations and related tools (graphs, charts, tables etc.) in order to present data in a clear and concise way to support conclusions.
Knowledge of lending market developments and influencing factors, good understanding of banking rules and regulations.
Fluent in English, both written and verbally.
Solid analytical, problem-solving and interpersonal skills, superior attention to detail.
Personal competencies: ambition and energy, ability to deliver under tight deadlines, initiative, decisiveness, discipline,
Keen on learning and developing within a credit risk environment.

Descrierea jobului


Mainly responsiblе with credit risk data mаnagеmеnt, portfolio аnalytics аnd support for model development & monitoring.

Your day to dаy:
Ensurе dаtа intеgrity & manаgеment, including dаta extraction, procеssing аnd validation, as key preparation stage for credit risk analytics;
Conduct recurrent and ad-hoc portfolio analysis to identify good risk segments as well as high risk concentrations for optimal measures to be taken in each category;
Support for model development, monitoring and implementation processes;
Support initiatives according to the bank’s strategy by performing client segmentation for various analysis of credit/customer data and behavior (including transactional) ;
Ensure the reusability of scripts/proceedings to allow quicker and reliable delivery of information in the future;
Work in close cooperation with related departments, including other units within Risk Management, IT, Business, in order to monitor and ensure relevant, efficient (timely and with maximum automation/standardization) and accurate (correct and complete) processing of credit risk related analytics;
Ensure Data Quality compliance, by performing reconciliations across systems, instruct data corrections and follow up on resolution;
Cover other accountabilities and specific tasks delegated by the Department as justified by business needs;
Carry out all job tasks in accordance with all applicable internal and/ or law requirements, rules and regulations.

Descrierea companiei

ING is the largest online bank in the whole of Europe and a frontrunner in the transformation of banking. At ING, we believe all sustainable progress is driven by people with the imagination and determination to improve their future and the futures of those around them.

Our story in Romania started in 1994. Here we pioneered the local banking industry, bringing new products and services for local corporate. In 2004, ING extended services to individual clients, with an innovative banking model – ING Self’Bank. Today, ING Romania has over 1,100,000 individual active clients and ING Home’Bank is rated as the best digital banking application.

We’re on a journey that’s centered around our customers, powered by technology and driven by smart, determined people. Sharing the purpose of empowering people to stay a step ahead in life and in business, since 2015, ING Tech Center develops banking solutions in the fields of Core Banking Development, Financial Markets and Data Management for ING Group, including ING Bank Romania. By using the latest methodologies in software development, our fast growing team gathers more than 500 tech enthusiasts who work for international projects that go beyond traditional banking.

There has never been a more interesting time to work at ING.

Why work for us? Here’s a snapshot of our perks:

People Development Work from Home Wellbeing Programs Global Opportunities Flexible Work Schedule Staff Discounts Agile Way of Working Awesome Culture Future-Oriented Banking

Risk Data Science Analyst  -  ING BANK ROMANIA

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