The Fraud Product Manager will build and lead a dedicated product management function focused on fraud risk and controls across the Consumer Bank, establishing a strategic framework to strengthen fraud prevention, detection, and customer protection.
Compensation
Salary Range: $77,390.00 - $127,139.75
Responsibilities
Conduct a comprehensive current-state assessment of fraud risk and controls across all Consumer Bank product lines.
Map and document the existing fraud technology stack, including tools, vendors, integrations, and data flows.
Evaluate how effectively current fraud tooling is configured and used, including rules, thresholds, alert workflows, false-positive rates, and coverage gaps.
Identify gaps and vulnerabilities in current fraud prevention and detection capabilities across channels (online, mobile, card, ACH/wire, branch).
Research and recommend additional tools, vendors, or capabilities needed to close identified gaps.
Design and evaluate fraud-focused decisioning and conversational AI solutions for a leading banking client, serving as the key coordination point between client stakeholders and India-based delivery teams.
Compensation
Salary Range: $110K - $140K/Yr Base plus Bonus and Benefits
Responsibilities
Partner with Fraud Operations, Business, Analytics, and Technology stakeholders to understand fraud processes, policies, data, and business requirements.
Interpret and simplify fraud standard operating procedures (SOPs), translating them into clear, accurate, and testable decision logic.
Review and validate decision logic against documented policies, operational scenarios, and expected business outcomes.
Analyze transactional and fraud-related data, including disputes, unauthorized transactions, card activity, and investigation outcomes.
Apply appropriate controls when handling personally identifiable information (PII) and other sensitive banking data.
Senior Fraud Strategy Analyst responsible for developing data‑driven fraud prevention strategies across multiple fraud typologies within the banking and financial services sector.
Compensation
Access to an annual performance-related bonus
Responsibilities
Identify emerging fraud trends using SAS and SQL
Assess risks and vulnerabilities across fraud typologies
Generate strategic insights to inform senior decision‑making
A highly experienced second line of defense (2LOD) independent contributor responsible for providing credible challenge, oversight, and risk advisory services across the enterprise fraud risk management program.
The role involves joining the fraud decisioning & insights team within UK Fraud to manage and optimize fraud detection systems across the business, ensuring they are fully optimized to detect fraud against HSBC UK or its customers.
Responsibilities
Assist stakeholders, to improve control owner competencies for managing fraud risk.
Critically review performance and results to assess the adequacy of fraud detection and develop remediation for gaps and optimisation of decision engines.
Support the engagement of the wider business to develop and deploy improved fraud controls.
Through root cause analysis of losses, provide insight into the control effectiveness and call to action for the need for change.
Contribute to the management and delivery of the overarching business and fraud strategy and execution of the plan.
Requirements
Data Science
Statistics
Mathematics
Quantitative discipline
Nice to have: calibrating and optimising fraud detection tools
Join the fraud decisioning & insights team within UK Fraud who are responsible for the day to management of fraud across the business, ensuring that our fraud detection systems are fully optimised to detect fraud against the HSBC UK or its customers.
Responsibilities
Assist stakeholders to improve control owner competencies for managing fraud risk.
Critically review performance and results to assess the adequacy of fraud detection and develop remediation for gaps and optimisation of decision engines.
Support the engagement of the wider business to develop and deploy improved fraud controls.
Through root cause analysis of losses, provide insight into the control effectiveness and call to action for the need for change.
Contribute to the management and delivery of the overarching business and fraud strategy and execution of the plan.
Requirements
Data Science
Statistics
Mathematics
Nice to have: calibrating and optimising fraud detection tools
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