Assistant Director – Data and Analytics

• 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
• Work with and leverage solutions and approaches developed by the wider HSBC Analytics community
• Own end to end delivery responsibility of Data Science projects and guide, train and mentor junior team members involved in the project
• Contribute to Data Science chapter initiatives at a CIB D&A level

• 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

Knowledge and good experience with data visualization tools such as Qlik Sense will be a strong plus

• 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)
• Corporate parties & events
• CSR initiatives
• Nursery discounts
• Language classes
• Financial support with trainings and education
• Social fund
• Flexible working hours
• Free parking