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, Fraud Analytics.

Principal responsibilities

Prepare and deliver accurate and timely Management Information (MI) reports that support all operations functions under FCS (Collection, Fraud, underwriting and Bureau).

Oversee the ongoing monitoring of risk exposures, ensuring all activities align with established risk limits and appetite.

Apply data analytics tools to analyze, review, and present risk and MIS reports, providing clear visualizations and actionable insights for senior management.

Enhance and maintain reporting frameworks, continuously improving the efficiency and clarity of risk data presentation.

Collaborate closely with the Operations team to ensure all relevant data and Management Information are available, supporting smooth and effective operational processes.

Lead and manage a team to ensure their deliverables and performance consistently align with the company’s strategic objectives and business goals.

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, Fraud Analytics.

Principal responsibilities

Prepare and deliver accurate and timely Management Information (MI) reports that support all operations functions under FCS (Collection, Fraud, underwriting and Bureau).

Oversee the ongoing monitoring of risk exposures, ensuring all activities align with established risk limits and appetite.

Apply data analytics tools to analyze, review, and present risk and MIS reports, providing clear visualizations and actionable insights for senior management.

Enhance and maintain reporting frameworks, continuously improving the efficiency and clarity of risk data presentation.

Collaborate closely with the Operations team to ensure all relevant data and Management Information are available, supporting smooth and effective operational processes.

Lead and manage a team to ensure their deliverables and performance consistently align with the company’s strategic objectives and business goals.

University degree in Business Management, Quantitative Analysis, Data Science, Computer Science, or a related field, or a professional qualification.

Strong analytical skills with experience in SAS programming, SQL, and Python.

Strong financial acumen with an understanding of credit risk principles or fraud control, along with knowledge and experience in local practices and strategies.

Experience in delivering management information (MI) projects with various stakeholders, and familiarity with visualization tools such as Qliksense, Tableau, and Looker Studio is an added advantage.

Leadership and organizational skills with experience in managing a team, overseeing daily operations, people management, team performance, and successful project delivery.

Excellent communication (written and verbal) and interpersonal skills, with the ability to influence stakeholders at all levels. Proficiency in English and Cantonese is required.

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.

University degree in Business Management, Quantitative Analysis, Data Science, Computer Science, or a related field, or a professional qualification.

Strong analytical skills with experience in SAS programming, SQL, and Python.

Strong financial acumen with an understanding of credit risk principles or fraud control, along with knowledge and experience in local practices and strategies.

Experience in delivering management information (MI) projects with various stakeholders, and familiarity with visualization tools such as Qliksense, Tableau, and Looker Studio is an added advantage.

Leadership and organizational skills with experience in managing a team, overseeing daily operations, people management, team performance, and successful project delivery.

Excellent communication (written and verbal) and interpersonal skills, with the ability to influence stakeholders at all levels. Proficiency in English and Cantonese is required.

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.