Senior Manager Fraud Management CMB

at  HSBC

Job 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.
UK Fraud focuses on the specific financial fraud threats the firm faces now and, in the future, pioneering the techniques and technology that protect our business, our customers, and the many communities in which we operate, from the harms associated with fraud. Fraud harnesses intelligence, analytics, technology, investigation, information sharing, and public-private partnership to achieve this end, always seeking the most effective and efficient means.
This role spans across the responsibilities of our Fraud Control Design & Delivery team and our Fraud Decisioning & Insights team (which is where the role aligns to). This role will lead on the CMB business function.
The Fraud Control Design & Delivery team are responsible for the management of fraud across the business, ensuring that fraud controls are fully optimized to prevent, detect and mitigate fraud for HSBC UK and its customers. They are also responsible for implementing solutions through change initiatives either directly within the fraud remit or influencing and delivering the enhancement of controls outside of the broader fraud function within the FLoD.
The Fraud Decisioning & Insights team are responsible for the day-to-day management of fraud across the business, ensuring that our fraud detection systems are fully optimized to detect fraud against HSBC UK and its customers. They are also responsible for understanding the root cause of any fraud attack, identifying any control weaknesses or failures and escalating these to the appropriate control owner and the Fraud Control Design & Delivery team.
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.

In this role you will:

• Ensure strategies and protocols are developed, monitored and delivered through analysis of fraud patterns and implemented within our fraud detection systems and processes across the three core fraud typologies i.e. Cards, Payments and Lending/First Party fraud for CMB.
• Support and drive the management of any flash fraud attacks impacting CMB.
• Interpret MI and trends, identifying issues and risks and planning strategies to address fraud and risk.
• Lead with their team on proactive fraud control reviews alongside identification of controls and / or process / procedure failings that are driving fraud attacks to develop and implement changes to address the weaknesses.
• Work with the CMB business to define their fraud strategy and input to investment prioritisation and decisions.
• Work closely with the operational teams to ensure that controls are appropriately designed and implemented into fraud treatment strategy.
• Work with Fraud Operations to change processes and provide coaching to colleagues following analysis from their own team that has identified deficiencies in items such as alerts have been released incorrectly leading to a successful fraud.
• Support and test change initiatives, identifying and developing new or improved delivery mechanisms.
• Ensure routines are developed and undertake in-depth analysis of fraud patterns then develop and implement enhanced strategies within our fraud detection systems across the three core fraud typologies i.e. Cards, Payments and Lending/First Party fraud for CMB.
• Lead the ongoing monitoring of the fraud detection systems across the three core fraud typologies for CMB to ensure that they are performing optimally and in line with appetite.
• Interpret and manipulate large data sets to extract trends and identify issues and risk.
• Lead with their team to ensure that detailed root cause analysis is undertaken to identify control and/or process/procedure failings that are driving fraud attacks, escalating to the process/control owner and their own team to ensure that any required changes can be developed and implemented.
• Develop and implement routines to work closely with the operational teams to ensure that any fraud alerts generated have an appropriate treatment strategy dependent upon the risk identified.
• Ensure close working relationships are developed with the Strategic Fraud Analytics function to develop models and optimisation tools that meet business requirements and risk appetite.
• Lead on any remediation of any live service issues impacting on the fraud detection systems and/or operations.
• Develop their team in line with business and individual colleague needs.

Requirements

To be successful in this role you should meet the following requirements:

• The role holder will ideally have proven expertise at management level within an existing Fraud / Fraud Analytics function.
• Detailed knowledge of Banking products, policies and processes is essential.
• Detailed knowledge of payment, card and/or account opening processes is essential.
• Experience of working in an environment supported by Fraud Detection systems such as, SAS EFM, Feedzai, Biocatch, ThreatMetrix and Hunter is essential.
• Experience of understanding what best in class fraud analytics/routines look like is essential.
• Experience of working across multiple fraud typologies and engaging with senior level stakeholders is essential.
• Knowledge of using, calibrating and optimising fraud detection tools is essential.
• Knowledge of strategic delivery of controls and design methods is essential.
• Relevant work experience in Risk related preferred FLoD or SLoD.
• Experience of developing new processes and ways of working within a Fraud Strategy/Analytics/Operations/Policy function preferred.
• Relevant work experience in Data Science, Statistics, Mathematics or any other quantitative discipline would be an advantage.

This role is based in Birmingham.
Opening up a world of opportunity
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 part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse.
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 8500

In this role you will:

• Ensure strategies and protocols are developed, monitored and delivered through analysis of fraud patterns and implemented within our fraud detection systems and processes across the three core fraud typologies i.e. Cards, Payments and Lending/First Party fraud for CMB.
• Support and drive the management of any flash fraud attacks impacting CMB.
• Interpret MI and trends, identifying issues and risks and planning strategies to address fraud and risk.
• Lead with their team on proactive fraud control reviews alongside identification of controls and / or process / procedure failings that are driving fraud attacks to develop and implement changes to address the weaknesses.
• Work with the CMB business to define their fraud strategy and input to investment prioritisation and decisions.
• Work closely with the operational teams to ensure that controls are appropriately designed and implemented into fraud treatment strategy.
• Work with Fraud Operations to change processes and provide coaching to colleagues following analysis from their own team that has identified deficiencies in items such as alerts have been released incorrectly leading to a successful fraud.
• Support and test change initiatives, identifying and developing new or improved delivery mechanisms.
• Ensure routines are developed and undertake in-depth analysis of fraud patterns then develop and implement enhanced strategies within our fraud detection systems across the three core fraud typologies i.e. Cards, Payments and Lending/First Party fraud for CMB.
• Lead the ongoing monitoring of the fraud detection systems across the three core fraud typologies for CMB to ensure that they are performing optimally and in line with appetite.
• Interpret and manipulate large data sets to extract trends and identify issues and risk.
• Lead with their team to ensure that detailed root cause analysis is undertaken to identify control and/or process/procedure failings that are driving fraud attacks, escalating to the process/control owner and their own team to ensure that any required changes can be developed and implemented.
• Develop and implement routines to work closely with the operational teams to ensure that any fraud alerts generated have an appropriate treatment strategy dependent upon the risk identified.
• Ensure close working relationships are developed with the Strategic Fraud Analytics function to develop models and optimisation tools that meet business requirements and risk appetite.
• Lead on any remediation of any live service issues impacting on the fraud detection systems and/or operations.
• Develop their team in line with business and individual colleague needs

To be successful in this role you should meet the following requirements:

• The role holder will ideally have proven expertise at management level within an existing Fraud / Fraud Analytics function.
• Detailed knowledge of Banking products, policies and processes is essential.
• Detailed knowledge of payment, card and/or account opening processes is essential.
• Experience of working in an environment supported by Fraud Detection systems such as, SAS EFM, Feedzai, Biocatch, ThreatMetrix and Hunter is essential.
• Experience of understanding what best in class fraud analytics/routines look like is essential.
• Experience of working across multiple fraud typologies and engaging with senior level stakeholders is essential.
• Knowledge of using, calibrating and optimising fraud detection tools is essential.
• Knowledge of strategic delivery of controls and design methods is essential.
• Relevant work experience in Risk related preferred FLoD or SLoD.
• Experience of developing new processes and ways of working within a Fraud Strategy/Analytics/Operations/Policy function preferred.
• Relevant work experience in Data Science, Statistics, Mathematics or any other quantitative discipline would be an advantage