Data & Risk Analyst - Group Customer Payment Services

BACKGROUND 

In light of rapidly evolving customer payment landscape, Richemont has launched a Customer Payment Services (CPS) Program as part of the Group’s Transformation towards New Retail. The main objective is to embrace new technology in delivering an outstanding customer payment experience and new digital customer services across all channels. Our mandate for CPS Program:

To manage financial assets and risks by researching & innovating, strategizing and implementing Customer Payment Services for all Group Businesses globally, across all channels in an integrated, scalable, secure and compliant way to enable the Group to Craft the Future

To deliver on its mandate, CPS team is responsible to:

• Enable new payment services to accelerate New Retail
• Establish a common omnichannel payment platform
• Improve payment data intelligence and establish data-centric payment organization
• Protect brand equity from payment fraud, reputational damages & liabilities
• Establish and manage core strategic supplier relationships and contracts
• Manage CPS demand and initiative portfolio 
• Lead cross-functional teams in designing & deploying strategic payments & services solutions
• Ensure excellent execution of identified strategies in full compliance with Group strategy, operating model and internal rules 
• Simplify operational processes through automation and digitization of the CPS value chain 
• Establishment of central Customer Payment & Services expertise 

ROLE

It is for someone who is a self-starter, enjoys exploring data for insights to support strategic decision making, is passionate about building data structures, analyzing and reporting on key performance indicators, comfortable to work on operational matters, willing to develop expertise in fraud and payment risk prevention, has excellent communication and strong interpersonal skills, is able to document effectively. 

RESPONSIBILITIES

• Gather and analyze fraud data and payment data from various sources to develop a deep understanding of business processes
• Design data models as part of data business warehouses to support reporting and analysis needs
• Create interactive and visually appealing fraud and payment dashboards and reports using BI tools (SAC, SAP BI) to communicate insights effectively
• Collaborate with stakeholders to understand reporting requirements and ensure timely delivery of reports
• Monitor and optimize databases and BI tool performance to ensure responsiveness and scalability
• Troubleshoot and resolve technical issues and data inconsistencies related to BI solutions in collaboration with technical teams
• Maintain and update data dashboards and reports
• Collect and consolidate KPI performance from regions
• Prepare and maintain training documentation on payment and anti-fraud processes and guidelines
• Perform in-depth data analysis to support payment and Fraud risks optimization

QUALIFICATIONS

• University degree in Data Science, Mathematics, Finance or Technology, preferable with an MBA diploma
• Additional certification/trainings on data analytics (ex, Microsoft, etc)

EXPERIENCE

• 5+ years of experience in Business Intelligence, Data analysis or Data Warehousing in a multi-cultural, matrixed environment with a track record of successful BI projects
• Proficiency in data and analytics concepts, tools, and methodologies
• Experience in designing KPI dashboards for all types of audiences up to C-level
• Experience in working with API solutions
• Proven track record of managing complex initiatives with strong emphasis on data, providing actionable insights and tracking success of those initiatives
• Able to communicate complex problems in a simple and relevant manner at all levels
• Experience with translating analytical insights into data driven business prioritization
• Proficiency in facilitating workshops and design sessions taking customer needs and business goals into account
• Knowledge of at least one programming language (SQL, Python, R, etc.)
• Proficiency in data analytics and visualization tools (SAC, Power BI, Tableau, Looker, etc)
• Sound knowledge of ERP systems such as SAP; Proficient in MS Excel, PowerPoint
• Strong business process understanding
• Previously experience in a fraud & payment management environment is an advantage 

SKILLS

• Strong analytical skills and solution-oriented approach
• Ability to manipulate and condense large volumes of data into succinct and powerful visualizations (graphs, charts, diagrams, dashboards)
• Strong communication and storytelling skills and ability to present complicated data topics to a non-specialized audience
• Strong sense of responsibility, self-starter, well organised, good planner, able to work independently and meet deadlines
• Excellent organization skills, and ability to manage multiple responsibilities
• Strong verbal/written communication skills, including an ability to effectively communicate with both business and technical teams
• Strong interpersonal skills
• Strong in understanding macro trends & strategic priorities whilst being hands-on, with strong attention to detail
• Passionate about new technologies and innovations within Fintech
• Excellent English (any other language is considered an asset)