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CIB Data and Analytics (CIB D&A) provides high-end analytics services across global businesses and functions, generating value through diverse analytic solutions and business consulting. The team supports decision-making and strategic planning, integrating data-driven decisions across various domains, including regulatory, operations, procurement, credit & lending, IT infrastructure, and financial crime risk.
Job Responsibility:
Extract, transform, and load (ETL) from various sources, ensuring data quality, accuracy, and integrity
Design and optimize data pipelines, ensuring efficient data extraction, storage, and processing
Extract and integrate data from external sources, such as public databases, social media platforms and third-party vendors to enhance advanced analytics capabilities
Conduct in-depth analysis of complex transactional and demographic datasets to identify patterns for identifying risk and opportunities
Develop innovative and impactful data-based tools and models for propensity modeling and risk mitigation, continuously evaluate the effectiveness of models and make recommendations for improvements
Engage various stakeholders to understand and collect project requirement, present analysis and or results, make recommendations on strategy formulation and solicit project feedback
Requirements:
Good to have knowledge of Banking domain use cases with specific applications to data science problems
6+ years of relevant experience, preferably in banking and financial sector
University degree in Computer Science, Finance, Statistics, Mathematics or any other quantitative related discipline, PhD or Master’s degree is highly preferred
Proficiency in using Python, SQL, or similar analytically oriented programming languages
In depth knowledge and experience with machine learning techniques and algorithms
Experience with cloud analytics platforms such as GCP, Azure and AWS and big data platforms such as Hadoop, Spark, etc
Extensive technical skill in data mining, able to understand various data structures both structured and unstructured and common methods in data transformation
High technical aptitude, problem solving abilities, intellectual curiosity, motivation, and passion for data discovery
Open minded and self-motivated with good communication and interpersonal skills as well as strong sense of responsibility
What we offer:
Competitive salary
Annual performance-based bonus
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
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