Do you have experience with Data Science use cases and a passion for pioneering technologies such as Artificial Intelligence and Reinforcement Learning? If so, join our BDAA Sales Analytics team! You will work closely with our stakeholders to develop optimized pricing solutions. Our platforms can set individual prices above standard rates while considering market price sensitivity and the unique behavior of customers. Utilizing cutting-edge technologies like Google Cloud Platform, APIs, Kafka, Python, and SQL, we are paving the way for smarter and more effective banking.
responsibilities :
Expanding the existing Reinforcement Learning framework for deposits to other products, such as FX pricing
Conducting deployments, including monitoring and optimizing models
Validating model results
Data preprocessing, feature engineering, and analyses to identify patterns and trends
Close coordination and collaboration with stakeholders to specify requirements and evaluate Data Science use cases
Creating and maintaining technical documentation, and adhering to AI governance guidelines
Onboarding and mentoring juniors, as well as knowledge sharing within BDAA
requirements-expected :
University degree in Data Science, Computer Science, Mathematics, Physics or a comparable field
Solid knowledge and experience with Machine Learning use cases, ideally with Reinforcement Learning
Excellent programming skills in Python and SQL
Experience with cloud solutions - preferably Google Cloud Platform (specifically BigQuery, Cloud Composer) and
event-driven architecture (Kafka)
Excellent collaboration and communication skills with the ability to work in cross-location and international teams
Strong communication skills in English
benefits :
private medical care
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
integration events
corporate sports team
retirement pension plan
preferential loans
no dress code
video games at work
coffee / tea
leisure zone
pre-paid cards
redeployment package
employee referral program
extra leave
Multisport
Skills@Work - personal & professional development program
Employee Assistance Program (psychological support)
