DAO Group Functions, part of the Data Analytics Office (DAO) team, comprises Data, Reporting & MI professionals. Our mission is to furnish precise, timely, and insightful Data and Management information to the Risk & Compliance and Finance function. Utilizing cutting-edge data architecture integrated into HSBCs broader data fabric, our services empower Risk, Compliance, and Finance professionals to concentrate on comprehensive risk management and meet regulatory obligations.
We consistently strive to deliver value in Risk, Compliance, and Finance Data, MI, and Reporting, aligning with Business Data, Architecture, Technology strategies, and Group standards. Our services support regulatory compliance (e.g., BCBS 239 and Basel III Reforms) for Risk and Compliance processes, offering diverse Data services encompassing Management, Quality, and Controls, along with an MI & Reporting function delivering reports and dashboard solutions.
The role in the Data Management and Analytics team supports GRADE (Global Risk Analytics Data Environment) platform analytical projects. Our data is pivotal for WCR (Wholesale Credit Risk) model development, validation, and monitoring at HSBC. We handle risk data through activities such as ingesting data from internal and external sources, measuring and monitoring data quality, and providing visualizations. Our responsibilities also include Wholesale Credit Risk peer benchmarking, GRADE platform security, capacity management, user support, onboarding, and change management. We collaborate with global teams on risk data BAU activities and projects.
responsibilities :
The role in the Data Management and Analytics team supports GRADE (Global Risk Analytics Data Environment) platform analytical projects. Our data is pivotal for WCR (Wholesale Credit Risk) model development, validation, and monitoring at HSBC. We handle risk data through activities such as ingesting data from internal and external sources, measuring and monitoring data quality, and providing visualizations.
Data Analysis - collate, test and check independently sourced data and assess its robustness and fitness for purpose.
Learn and understand source systems data, models and data standards.
Understanding data requirements from model development & monitoring teams, working on DQ issues, liaising with project teams for new ingests or data assets, working with teams to ensure data governance and compliance.
Develop ETL pipelines to make data assets available on GRADE.
Contribute to designing roadmaps for data, application and business process architecture to support future state environments.
Prepare effective material for dissemination to key business stakeholders at all levels of seniority.
Effectively manage relationships across key functional teams.
Work with management to prioritize business and information needs.
requirements-expected :
Solid and relevant experience in a similar job role.
Bachelor’s degree in IT or a numerate subject; Master’s degree preferred.
Strong theoretical and practical knowledge of programming tools, including proficiency in at least one of the following tools: SAS, Python, PySpark, SQL, and Hadoop Big Data, experience with Prophecy is a plus.
Business Analysis – requirements gathering and specification.
Ability to comprehend complex data architecture.
Strong organizational, analytical, problem-solving, and project management skills.
Multitasking ability and the capacity to work under pressure within tight timelines are essential.
Working knowledge of JIRA, Confluence, and Monday.com.
Open personality with effective communication skills and the flexibility to work in an international team.
Previous experience in IT/Analytics is desirable.
Preferable knowledge of banking risk data, systems, and risk models.
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
