Job Title: Manager, Fraud Product Analyst
- The role operates within Fraud & Credit Services (FCS), first line of defense control function in IWPB (Intl Wealth & Private Banking), with the core purpose of supporting the end-to-end credit journey and creating sustainable outcomes for the Customers and the Bank.
- Fraud & Credit Decision Systems under IWPB Fraud & Credit Services (FCS) is responsible for the delivery and support of the Credit, Collection and Fraud risk management platforms, tools and data across HSBC. The team also serves as a Decision Engine CoE (Centre of Excellence) for multiple Account Originations/Management, Collections and Fraud Risk systems including the Credit Bureau Management. We facilitate the deployment of account originations and management strategies through the FIM approved decision eco-system. The team would need to interface heavily between the Information Technology team and the business end users (including Risk & Product functions).
- The role holder facilitates the delivery of Changes projects using Credit, Collections, Fraud Platforms/Tools as per FIM guidelines. Interface heavily between the Technology team, vendor and the end users.
- The role holder needs to assess the chosen deliverables and collaborate with leaders to gain deeper understanding of the objective. The expectation is to lead the fraud requirements for the business.
- The function will also include data validations, process improvement, system documentation, providing consulting, guidance and delivering comprehensive risk management platforms to support risk management intelligence, analytics, MI generation, and ETL management.
- The role holder is required to lead the design and delivery of Data MI by ensuring the data is tested and data quality checks are conducted.
- The incumbent of this position will be expected to provide functional support to the business, product owner and agile team members within the team whilst creating the epics, user stories and managing the product backlog. The role holder will be required to create solution analysis on customer journeys and product functionality.
- Responsibilities will progressively increase as role holder matures in the role or the incoming candidate has higher relevant experience at the time of hiring.
Governance and Committee Memberships
- The role requires to represent Credit, Collection and Fraud Decision Systems in all relevant Project Working Groups and Project Scrums and other releavnt Governance meetings
In this role, you will:
- Facilitate the deployment of Credit, Collection and Fraud changes in the decision systems eco system, in consultation with change stakeholders from different functions in HSBC market(s)/ Region.
- Lead the collection and documentation of business requirements through stakeholder meetings, workshops, and in-depth analysis.
- Analyze business processes and workflows to identify inefficiencies, recommend improvements, and support strategic decision-making.
- Collaborate with project teams, technical teams, and stakeholders to develop solutions that align with business objectives and drive measurable impact.
- Prepare comprehensive reports, business cases, and presentations for senior management, translating complex data into actionable insights.
- Investigate and resolve any production incidents by conducting appropriate root cause analysis
- Analyze and test Data to build business MI and ensure data quality.
- Contribution towards decision systems optimization with use of new age tools / frameworks including the use of open source technologies, AIML etc.
- Monitor project progress, identify potential risks, and facilitate seamless communication between technical teams and stakeholders.
- Mentor junior analysts, provide guidance, and contribute to developing best practices and frameworks for business analysis.
- Conduct market and competitive analysis to identify trends, assess business opportunities, and support data-driven strategic planning.
- Support the roll out of Future State Architecture across HSBC markets.
- Adherence to defined SLAs and deliver MI to support operational monitoring of Decision Systems service.
- Adhere to the defined governance processes throughout the change lifecycle of decision systems deliveries
- The role holder will maintain effective oversight over all project activities, have the ability to identify where the change framework is not being applied correctly and work with the change management teams to identify the activities to facilitate plans to remediate any gaps identified.
As the role holder develops greater expertise and maturity, additional responsibilities will be added:
- There are multiple teams supporting different aspects analytics for the same larger business problems. The job holder needs to drive collaborations and synergies to integrate the analytics solutions for the business.
- The incumbent of this role is expected to surmise the business priority and enable the effective delivery of projects and analysis.
- Oversee delivery of medium to high level complexity changes
- Support and provide design solutions to the complex business requirements
- Prioritize best practice adoption
- Implements efficiency and process improvement
- Mentors new joiners and supports in their day-to-day deliveries
- Implement the group improvement initiatives from end-to-end perspective
Leadership & Teamwork
- Sees the 'bigger picture' and assesses relationships between recommended analytical solutions / projects and business performance.
- Makes decisions, even with ambiguous /incomplete data at a pace that balances the need for further analysis and the need for timely decision given business pressures / requirements.
- Develop and maintain relationships and work well with all levels of management.
- Inspire trust & credibility among team members, business clients and other stakeholders through highest level of personal integrity, and ethical behaviours
- Supports diversity and adapts style and language according to the demands of the situation.
- Ensures equipping team with relevant training, develops team, rewards, recognizes and retains high performers, positively confronts under performance in others
To be successful you will:
- Bachelor’s degree in computer science, information technology.
- Minimum 6 years of Full life cycle business analysis experience from requirements definition through to implementation within a business facing IT environment
- Experience in business analysis and solution designing
- Knowledge in Wholesale/Personal Banking along with Broad Knowledge of Fraud Typologies such as: Deposit Fraud, Account Takeover, Check Fraud, Mules etc.
- Experience of working with complex and/or relational databases, including an understanding of the control environment surrounding those databases such as stored procedures
- Capable of analysing large datasets to identify patterns, trends, and gaps in current systems along with knowledge of regulatory/ compliance/ governance framework around sensitive data, encryption, masking etc.
- Strong analytical and data design skills with a demonstrated ability to extensively analyze business processes, especially data and workflows and deliver required project artefacts to a high standard.
- Expertise in Agile engineering practices (e.g. Scrum, Kanban) as well as Disciplined Agile.
- A structured approach to the management and planning of their own work (able to efficiently manage multiple tasks, prioritizing appropriately and transparently)
- Experienced in building dashboards and fraud KPIs (e.g., chargeback rates, FPR, ADR, VDR & Loss to revenue etc.) – desirable
- Hands on experience with fraud platforms like Actimize, Falcon or any internal rule engine is a plus
- Knowledge of SQL or Big Query/ SAS/ Python/ Spark (not mandatory).
- Relevant Agile CBAP/CISO/ SAFE Agilist certification will be desirable not mandatory
Others
- Hands-on change and implementation experience, solving complex business problems ideally within a financial services environment
- Previous experience in creating process maps and identifying the areas impacted by change being delivered
- Proven experience of positive, challenging interactions with stakeholders
- Experience of change implementation, identifying and managing risks and issues during deployment
- Exposure of using non-production environments to create training requirements and programmes and translating this to the production environment.
- Supporting business readiness/familiarization with new capabilities using 'sandbox' environments
- Proven history of creating and implementing training programs across multiple stakeholder groups
- Proven ability in working with business and technology teams using agile methodology
- Proven experience of using project management related tools such as Clarity, Jira, Rally etc
- An understanding of Fraud Technologies (specifically on transaction monitoring tooling) is desirable but not essential.
- Strong interpersonal skills with the ability to communicate technical matters effectively with senior leaders across Fraud, the business, and the public sector.
- Proven ability to rapidly develop subject matter expertise in a range of technical and non-technical areas
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Issued By HSBC Electronic Data Processing (India) Private LTD