Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Manager - Workforce Management - HEAD OF SD - GSC.

Principal responsibilities

Data Scientist with experience deploying, monitoring and maintaining predictive models.Collaborate with internal stakeholders to understand the requirements, design innovative time data models and contribute to development, release and maintenance of these models.Management of the WFM tools and data, ensuring accuracy and relevance to front line and central team demands with SLAs achieved.Support in delivery of WFM BWOT Deliverables for 2024 and beyond within defined timelines covering all key milestones.Build strong relationships, adopting a joined-up approach, to deliver business requirements at pace and with minimum conflict.Maintain contact with stakeholders to identify and communicate business performance, status, and potential risks.Collaborate in building NextGen WFM Solutions support ongoing practices to enable Ops with better productivity performance management.Drive a high-performance culture through better engagement within team and effective peer management.Acting as a Subject Matter Expert to support the wider business to ensure commonality and consistency of solutions.Ensure Planning Service Management processes are effective and propose improvements/efficiencies as required.Compliance with external regulatory requirements, internal control standards and group compliance policy.Timely implementation recommendations made by internal/external auditors and external regulators.

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Manager - Workforce Management - HEAD OF SD - GSC.

Principal responsibilities

Data Scientist with experience deploying, monitoring and maintaining predictive models.Collaborate with internal stakeholders to understand the requirements, design innovative time data models and contribute to development, release and maintenance of these models.Management of the WFM tools and data, ensuring accuracy and relevance to front line and central team demands with SLAs achieved.Support in delivery of WFM BWOT Deliverables for 2024 and beyond within defined timelines covering all key milestones.Build strong relationships, adopting a joined-up approach, to deliver business requirements at pace and with minimum conflict.Maintain contact with stakeholders to identify and communicate business performance, status, and potential risks.Collaborate in building NextGen WFM Solutions support ongoing practices to enable Ops with better productivity performance management.Drive a high-performance culture through better engagement within team and effective peer management.Acting as a Subject Matter Expert to support the wider business to ensure commonality and consistency of solutions.Ensure Planning Service Management processes are effective and propose improvements/efficiencies as required.Compliance with external regulatory requirements, internal control standards and group compliance policy.Timely implementation recommendations made by internal/external auditors and external regulators. Analytical thinker with a passion for using data and statistic methold to solve Business ProblemsProficiency with common analytical programming language eg: Python, excel, SQL. Solid understanding of data transformation and analytics functions using tools / languages like Pandas, Sklearn.Technical expertise: Strong proficiency in core Data Science, Data Mining, Machine Learning and Statistical Modelling. In-depth experience in techniques from time-series forecasting and / or casual inference. Experience in with experiment design, Natural language Processing, Neural network architecture, Recommendation Systems and Large Language Model is highly desirable.Sound understanding of business process management/ delivery/ shared services dynamics.Knowledge of WFM workflow offerings and solutions.Advance knowledge on WFM tools and methodology and best practice techniques.Proficient in visualization platforms like Data Studio/ Tableau/ Qlik, etc.Effective communication, inter-personal and negotiating skills.Effective decision making and problem-solving ability.Proven judgmental skills to identify and resolve problems.Experience of managing resources using appropriate systems, tools, communication, delegation, and planning skills.Ability to coordinate a wide variety of solutions, bringing a breadth of experience to the business, seeing the wider implications at all stages.

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

You’ll achieve more when you join HSBC.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Analytical thinker with a passion for using data and statistic methold to solve Business ProblemsProficiency with common analytical programming language eg: Python, excel, SQL. Solid understanding of data transformation and analytics functions using tools / languages like Pandas, Sklearn.Technical expertise: Strong proficiency in core Data Science, Data Mining, Machine Learning and Statistical Modelling. In-depth experience in techniques from time-series forecasting and / or casual inference. Experience in with experiment design, Natural language Processing, Neural network architecture, Recommendation Systems and Large Language Model is highly desirable.Sound understanding of business process management/ delivery/ shared services dynamics.Knowledge of WFM workflow offerings and solutions.Advance knowledge on WFM tools and methodology and best practice techniques.Proficient in visualization platforms like Data Studio/ Tableau/ Qlik, etc.Effective communication, inter-personal and negotiating skills.Effective decision making and problem-solving ability.Proven judgmental skills to identify and resolve problems.Experience of managing resources using appropriate systems, tools, communication, delegation, and planning skills.Ability to coordinate a wide variety of solutions, bringing a breadth of experience to the business, seeing the wider implications at all stages.

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

You’ll achieve more when you join HSBC.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.