Job Description

Role purpose

Financial Crime (FC) is dedicated to identifying and mitigating the financial crime threats facing HSBC today and in the future, leveraging advanced analytics, technology, and intelligence to protect our business, customers, and communities. FC combines data-driven insights, innovative technology, and close collaboration with stakeholders to ensure effective detection and prevention of financial crime, while also contributing to the evolution of regulatory compliance through practical innovation and thought leadership.

The role holder is accountable for leading the development and monitoring of FC analytical models aimed at mitigating the harms associated with financial crime. The position requires a strong analytical mindset and expertise in data analysis and model management, as well as a demonstrated ability to approach complex challenges with creative problem-solving. The FC Detection Manager works collaboratively across regional Financial Crime functions and Line of Business to ensure robust financial crime detection and compliance.

Main activities

• Lead the design, development, testing, and validation of advanced analytics and models to enhance the bank’s financial crime risk management capabilities.
• Ensure models and analytical techniques are fit for purpose and comply with internal governance standards and regulatory expectations, including readiness for independent validation and audit scrutiny.
• Deliver data-driven insights and recommendations to senior stakeholders to support decision-making and continuous improvement.
• Drive innovative, efficient solutions to complex financial crime risk challenges, promoting a culture of continuous improvement.
• Produce high-quality documentation and reporting, manage the follow-up of internal and external findings within risk appetite (e.g., Internal Observations, MSII, IMR, Assurance, Audit, external regulators).
• The nature of the role requires advance mathematical and programming background oriented to data analysis.

Requirements

• Strong academic background in Mathematics, Computer Science, Statistics, Physics, or a related field (BSc required; MSc is a plus).
• Solid programming skills, with hands-on experience in SAS and/or Python (preferred), and practical exposure to one or more of the following: data analytics/data science, AI/ML methodologies (supervised and unsupervised learning), data visualisation, and statistical model development (experience with Financial Crime models is a plus).
• Excellent communication skills (verbal, written, and data-driven visualisations), with the ability to explain technical concepts to non-technical audiences and produce high-quality internal and regulatory documentation.
• Proficient English (written and spoken) is required.
• Strong problem-solving skills, with a creative and analytical approach to complex challenges.
• Strong time management and independent judgement, with the ability to prioritise and deliver in a fast-paced environment.

HSBC is an equal opportunity employer 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. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.