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Data Scientist in Risk Management (all genders)

Location:

Vienna

Working-Hours:

Full-time

Occupation Area:

Risk management, IT

Company:

Erste Group Bank AG

Erste Group was founded in 1819 as the first Austrian savings bank and today it is one of the largest banking groups in Central and Eastern Europe (CEE). As an attractive employer, Erste Group offers interesting career opportunities in an international environment.

The Risk Artificial Intelligence Lab (RAIL) is a collaborative initiative dedicated to tracking innovative ideas in the risk management area and transforming them into viable AI solution prototypes. RAIL serves as knowledge and solution hub where all relevant risk-related (Gen)AI use cases and proofs of concept (POCs) are collected, developed and further analysed for future internal operationalisation.In your role as a data scientist in the RAIL team, you will be responsible to translate business needs into (Gen)AI prototypes, identify synergy potentials and provide a comprehensive overview on the relevant aspects needed to support a decision regarding the further industrialisation within the bank.

Your Tasks

• Develop and actively contribute to the data science tasks in risk-related (Gen)AI use cases and POCs, where the development of predictive models and learning from data measurably supports the risk divisions in areas such as process optimization, automation, decision making etc.
• Ready to deliver in a team and independently, proactively searching for assistance and exchanging with a team and with other related functions within the bank and outside to find most optimal solutions.
• Being genuinely interested in data and new technologies (AI) and understanding of the main regulatory principles relating to the usage of big data, application of the AI solutions and respective requirements (e.g. AI act) to bring innovative problem solutions into practical application in the banking industry.
• Providing comprehensive overview of the proposed solutions as well as related findings to both technical and non-technical stakeholders.
• Having a profound understanding of the Erste internal banking processes with a special focus on risk management, modelling and relevant IT implementation platforms.

Your Background

• Minimum 2 years of professional experience as a data scientist or in an analytical role, Bachelor's or Master's degree with a focus on quantitative disciplines.
• Understanding of the banking industry with a focus on risk management and challenges which the industry is facing via emerging AI and other technological trends.
• Demonstrated experience with deploying advanced statistical methods and common machine learning models to identify trends and patterns in data and extract valuable business insights.
• Hands-on experience in the design and development of applications utilizing the Retrieval Augmented Generation (RAG) pattern, which includes steps such as chunking, embedding, and querying a Large Language Model (LLM).
• Proficiency in programming languages such as Python, Spark and SQL, data visualization tools (e.g. Tableau), version control systems (e.g. GitHub) as well as an understanding of the cloud platforms (Google, Azure etc.).
• Strong communication skills and ability to translate complex topics into comprehensive context. Fluent spoken and written English required, German skills would be an advantage.

Our Offer

• Support of your professional and personal development in a dynamic environment from a technological, infrastructure, legal and data perspective with highly experienced colleagues.
• The opportunity of driving the change, seizing the chances of digitalization and unlocking new levels of AI applications.
• Discover and enjoy the benefits of Erste Group
• The minimum wage for this full-time position in accordance with the collective agreement with complete fulfillment of the functional profile is EUR 43.554,09 gross per year. But this is just a formality - we would be happy to talk about your actual salary in person!
• We offer our employees the opportunity to divide their hours between working from home and at the office.
• We consider the diversity of our employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin.

Apply online