Regulatory Compliance ensures adherence to applicable regulations and standards by setting policies which cover HSBC’s regulatory requirements and mitigate conduct and reputational risk issues. The team strives to remain ahead of the regulatory change agenda and ensures the business understands the implications and is prepared for change. It monitors how Global Businesses and Functions manage their responsibilities with regard to complying with the regulations and helps resolve compliance deficiencies.
This role is Hybrid from Krakow and requires at least 4 years experience.
responsibilities :
Promote a culture of data driven decision making, aligning short term decisions and investments with longer term vision and objectives.
Help the business to manage regulatory risk in a more effective, efficient, and commercial way through the adoption of data science (AI/ML and advanced analytics).
Support communication and engagement with stakeholders and partners to increase understanding and adoption of data science products and services also research opportunities.
Collaborate with other analytics teams across the banks to share insight and best practice.
Foster a collaborative, open and agile delivery culture.
Build positive momentum for change across the organization with the active support and buy-in of all stakeholders.
Create and deliver analytical solutions that are fully documented and explained that meet the business aims/requirements.
Identify, monitor and mitigate top and emerging risks and ensure Senior Management awareness.
requirements-expected :
University degree in technology, data analytics or related discipline or relevant work experience in computer or Data Science.
Understanding of Regulatory Compliance, risks and direct experience of deployment of controls and analytics to manage those risks.
Experience in Financial Services (experience within a tier one bank) or related industry.
Solid understanding of applied mathematics, statistics, data science principles and advanced computing (machine learning, modelling, NLP and Generative AI).
Experience working within the Hadoop ecosystem in addition to strong technical skills in analytical languages such as Python and SQL. Specific knowledge of GCP, AWS, Azure, Spark and/or graph theory an advantage.
Experience of visualization tools and techniques including Qlik and Tableau.
Solid understanding of data & architecture concepts including cloud, ETL, Ontology, Data Modelling.
Experience of using JIRA, GIT, Confluence, Teams, Slack, Advanced Excel.
offered :
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)
Corporate parties & events
CSR initiatives
Nursery discounts
Financial support with trainings and education
Social fund
Flexible working hours
Free parking
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
