Global Risk Analytics (GRA) is a part of HSBC’s Global Risk Function which provides solutions using analytics, tools, and models to identify, measure and manage key risks. GRA currently covers Wholesale Credit and Market Risk, Financial Crime Risk, Regulatory Compliance and Operational Risk.
Financial Engineering drives definition and adoption of the modelling solutions within GRA and beyond on the Risk infrastructure. The projects within this team are related to regulatory, digital, policy or system level changes.
AVP Financial Engineering (Business Analyst) will support the Global Risk Analytics in the delivery of strategic vision for the Financial Engineering infrastructure and related changes in response to the regulatory and business requests.
FE BA will focus on the improvement of model development and implementation processes, including supporting the production processes, assisting modelling and user teams with enquiries, and carrying out testing. The role requires strong collaboration skills and involves interaction with various business and IT stakeholders to address business needs within the organizations policies, standards and goals.
responsibilities :
Develop understanding of the current and target states for the Financial Engineering Infrastructure and modelling processes.
Play a key role in communicating across teams impacted by the FE changes (such as Modelling teams, users, IT, CDO).
Work with IT teams to assess production issues and direct them to the appropriate owners within the Financial Engineering or modelling teams.
Co-ordinate progress of the issue resolution using appropriate workflow tooling (such as JIRA).
Work with the issue originator to clarify requirements.
Assist FE developers and modellers in addressing the issue and help produce relevant documentation.
Help to prepare test plans, scripts and execute functional testing of the models’ deployment.
Work with users to collate relevant approvals prior to go live with changes.
May need to guide modelling teams in adoption of the Financial Engineering coding excellence standards.
requirements-expected :
Degree in a quantitative subject and a minimum of 5+ years of experience as a Business Analyst in banking.
Knowledge in Credit risk modelling is required. This would include understanding of capital calculation approaches, loss distributions, credit ratings, model development and deployment lifecycle.
Proficiency in data modelling, definition of sourcing, transformations, controls and lineage.
At least intermediate proficiency in Python.
Proven Business analysis skills for the Agile delivery approach, including epics/user stories definition, preparation of the functional specifications, solution design, testing strategy definition and execution.
Proficiency in JIRA.
Strong written and verbal communication skills including high proficiency in Microsoft office (Excel, Word, PowerPoint).
Self-starter attitude with a can-do mind set, excellent problem-solving skills, ability to handle conflict and manage expectations.
Experience in working with global teams across different geographies, culture and time-zones.
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
