Risk Data Science Analyst

Key Skills

Data Analysis, Data Analytics, Data science techniques, Data Warehousing, Debugging, Effective communication skills, English Proficiency, Machine learning techniques, Microsoft Office suites, Microsoft-Excel, Python Programming, Risk Analytics, SAS, SQL, VBA

Job Description

ING believes in a world where everyone can grow and progress in their own way. This is reflected in our global slogan, do your thing, in the fact that we believe in the autonomy of our employees. With this guaranteed autonomy, we expect people to be involved and support the activity we carry out, focusing on customers, partners, but also the company

Working in ING means being surrounded by energetic, ambitious, friendly and respectful people: talented specialists who take responsibility and autonomy to turn plans into concrete actions. We are always curious, adapting to change and looking for new and better ways to do great things.

Active in Romania for over 25 years, ING Bank is recognized as a pioneer on the local banking market. Technology and innovation are at the heart of our business, making our products relevant to our customers' lives and businesses. Currently, ING is the 4th largest bank on the local market, taking assets into account. It is also a universal bank with 1.6 million customers in three business segments: individual customers (Retail), SMEs and Mid-Corporate and Wholesale Banking customers.

Come join us!

What will you do in this role? Here are the responsibilities:

• General responsibility - the analytical/quantitative part serving the compliance activity (eg: Know Your Customer, Anti Money Laundering), including the development and revision processes of the models, offering assistance in the evaluation and identification of the risk elements resulting from their application, including from the perspective of the way in which are integrated into the decision-making process, as necessary, to ensure that the functions and objectives of risk management are properly incorporated;
• Provides support according to the allocation established by the Manager in the development process of various models/statistical analyses: going through the steps of re/development or calibration of a statistical model respecting the methodology defined at group level and involving the main partners within the critical stages of the processes impacted;
• Participate, test and monitor the correct implementation of these models/rules in the production systems/platform; supports the recurrent process of monitoring their performance and functionality so that the optimal level defined in accordance with the bank's strategy is respected;
•  Defines the need for information and requests or obtains the necessary data in order to carry out recurring or ad-hoc analyzes regarding the evolution of the credit/client portfolio or within specific segments of clients to ensure both the identification of those with good potential from the point of view of the related risks (eg: repayment, related to compliance) as well as the signaling of possible concentrations in high-risk segments;
•  Analyzes and ensures data integrity and management, including but not limited to: extracting data from available databases (e.g. DWH), verifying them from a qualitative point of view and correspondence with the extraction requirements, mediates easy and partially independent access (e.g. through SAS/SQL, without IT intervention) to the information necessary for the own activity or that of the credit analysts, as well as their processing in accordance with the initial requests;
•  It ensures efficiency and traceability by defining and reusing the scripts/methods that allow the rapid and qualitative provision of repetitive information in the future;
•  Collaborates closely with Compliance/KYC departments to ensure efficient (timely and employing maximum automation/standardization) and accurate (correct and complete) capture/processing of required data;
• Responsible for administrative tasks as they develop and are delegated to him (preparation of memos and presentations on certain topics, preparation of minutes, etc.);
• Fulfills the requirements of the position in accordance with the requirements of the internal legislation and / or with the rules and regulations of the external legislation.

What is the profile we are looking for?

• Education: University graduate, technical profile is an advantage (such as studies in Cybernetics, Mathematics, Finance, etc.);
• Experience: at least 1-2 years of experience in a similar field, banking knowledge such as Kyc (Know Your Customer) and Compliance;
• Computer use: MS Office (Word, Excel (VBA), Power Point) and knowledge of SQL, SAS, Python code; We want a person with technical skills, to do debugging, to understand IT concepts, database management;
• Statistical requirements: you know the definitions, basic notions of statistics, method of calculation, interpretation; You have knowledge of tools, methods and models used in statistics, machine learning and artificial intelligence; You are adept at handling large and complex data sets; You analyze and ensure data integrity and management, including but not limited to: extracting data from available databases (eg DWH), verifying them from a qualitative point of view and correspondence with extraction requirements, data cleaning;
• A communicative, open, dynamic, analytical and proactive person with a desire to learn and inclined towards individual study;
• Foreign language knowledge level: English spoken & written, fluent.

Feel free to contact Raluca - Anamaria Stan , Recruiter. e-mail: raluca-anamaria.stan@ing.com