Job description

This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.

Job Description

Opening date 30-Apr-2024 Closing date 14-May-2024 Job description

Some careers grow faster 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.

RBWM Data and Analytics CoE is Global organization that specializes in providing state of art analytics and solutions to the RBWM Business. The function supports Product, Channel, Pricing, Digital and several other areas within RBWM. The department has more than 300 Machine Learning Users and are building this capability with several use cases. Opportunity to leverage advanced analytics to solve business problems.

We play a crucial role in leading and identifying opportunities to reduce Fraud losses. This will involve the set-up of new models, data solutions and driving the Strategic Analytics capability builds, working closely with the Fraud teams to develop clear action plans for fraud mitigation and optimization of fraud referral rules.

As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

We are currently seeking an experienced individual to join this team in the role of Data Scientist.

In This Role, You Will

  • Assist in the design, implementation of ML algorithms and deploy them in the production environment.
  • Support, develop and monitor all steps in the end-to-end ML lifecycle, including provision of infrastructure and resource management, integration, testing, releasing, deployment and monitoring.
  • Ensure and improve the performance of the ML algorithms at scale.
  • Produce and manage code repository, artefact, documentation, user manual and backup.
  • Design and develop software to automate the building, testing and deployment of ML algorithms and analytics activities.
  • Perform continuous training of ML models to ensure models are performing as expected, , within Feedzai fraud platform and BigQuery
  • Support, develop and monitor the whole data analytics lifecycle, from data preparation to reporting.
  • Collaborate with data wranglers, data scientists, data engineers, model governors and data quality and governance managers to improve the ML and wider data analytics pipelines.

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