Senior Financial Engineering Business Analyst

at  HSBC

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate14 Feb, 2025Not Specified14 Nov, 2024N/AGood communication skillsNoNo
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Description:

Some careers shine brighter than others.
If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
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.
We are looking for a competent and analytical person to join this team in the role of Senior Financial Engineering Business Analyst.
You 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. You will focus on the improvement of model development and implementation processes, including gathering business requirements, analysis of data, definition of solution designs with related operational changes, and carrying out testing as part of implementation support activities. The role requires strong collaboration skills and involves interaction with various business and IT stakeholders to address business needs within the organization’s policies, standards and goals.

In this role you will:

  • 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)
  • Lead a small team of analysts
  • Will support the modelling teams and FE developers in the delivery of the strategic modelling pipeline:
  • Work with the modelling team and data sources’ teams to produce artefacts such as data requirements, data model, data dictionary
  • Assist modellers in creation of the required datasets
  • Define the business/functional architecture for the model execution and monitoring
  • Help to prepare test plans, scripts and execute functional testing of the models’ deployment
  • May need to guide modelling teams in adoption of the Financial Engineering coding excellence standards
  • May need to lead assessment of the production incidents related to the Financial Engineering and communicate with the IT, FE and modelling teams to help progress resolution

To be successful in this role you should have:

  • Quantitative subject knowledge and experience as a Business Analyst in banking
  • Knowledge in Credit risk modelling to include understanding of capital calculation approaches, loss distributions, credit ratings, model development and deployment lifecycle.
  • Strong data analytics background with proficiency in data modelling, definition of sourcing, transformations, controls and lineage
  • Experience in analysis of large datasets
  • Proficiency in SAS, Python and JIRA
  • 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
  • Strong written and verbal communication skills including high proficiency in Microsoft office (Excel, Word, PowerPoint)
  • A can-do attitude with excellent problem solving skills
  • Experience of working with global teams across different geographies, culture and time-zones
  • Strong interpersonal skills with ability to handle conflict and manage expectations

Responsibilities:

THIS IS A HYBRID ROLE BASED IN LONDON.

Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.
We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
If you’d like to apply for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk:
Email: hsbc.recruitment@hsbc.com
Telephone: +44 207 832 850

In this role you will:

  • 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)
  • Lead a small team of analysts
  • Will support the modelling teams and FE developers in the delivery of the strategic modelling pipeline:
  • Work with the modelling team and data sources’ teams to produce artefacts such as data requirements, data model, data dictionary
  • Assist modellers in creation of the required datasets
  • Define the business/functional architecture for the model execution and monitoring
  • Help to prepare test plans, scripts and execute functional testing of the models’ deployment
  • May need to guide modelling teams in adoption of the Financial Engineering coding excellence standards
  • May need to lead assessment of the production incidents related to the Financial Engineering and communicate with the IT, FE and modelling teams to help progress resolutio

To be successful in this role you should have:

  • Quantitative subject knowledge and experience as a Business Analyst in banking
  • Knowledge in Credit risk modelling to include understanding of capital calculation approaches, loss distributions, credit ratings, model development and deployment lifecycle.
  • Strong data analytics background with proficiency in data modelling, definition of sourcing, transformations, controls and lineage
  • Experience in analysis of large datasets
  • Proficiency in SAS, Python and JIRA
  • 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
  • Strong written and verbal communication skills including high proficiency in Microsoft office (Excel, Word, PowerPoint)
  • A can-do attitude with excellent problem solving skills
  • Experience of working with global teams across different geographies, culture and time-zones
  • Strong interpersonal skills with ability to handle conflict and manage expectation


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Financial Services

Analytics & Business Intelligence

Business Analytics

Graduate

Proficient

1

London, United Kingdom