Assistant Director, Fraud Operations Analytics

• Sees the 'bigger picture' and assesses relationships between recommended projects and business performance. Good understanding of business domain, functional goals & Ensure the integration of feature work is sequenced and prioritized correctly.
• The role holder will be expected to understand key business goals & priorities at top of the house level and distil it down to specific goals for specific business partners & Given the dynamic and ever-changing global business situation, the incumbent of this role is expected to surmise the business priority and enable the effective delivery of projects and analysis and meet the ever-changing business priorities.
• Facilitates iterative delivery and ensures there is a continuous flow of work across business and Information Technology & Work with Team to ensure operational issues/defects are resolved and addressed in a timely manner.
• Responsible for planning and overseeing project and program level reporting & Responsible for end-to-end management and monitoring of project governance and control & Responsible for carrying out ad-hoc projects under the direction of Department Head. Establish quality standards in terms of timeliness of the projects and accuracy of the delivery and deployments to Countries/Regions.
• Closely interact with country and regional heads to set the right prioritization and ensure sustainable saves/ deliver tangible business value added projects.

• Minimum 12+ years of hands-on analytics experience solving complex business problems using data.
• PhD or Masters’ degree from reputed university in statistics, economics, or any other quantitative fields
• Strong analytical skills with business analysis experience or equivalent. In-depth knowledge and understanding of financial-services/ banking-operations is a must.
• Strong programming knowledge of SAS, SQL R/Python, 2 out of these is must & Experience with Alteryx, Google Cloud Big Query programming is preferred.
• Strong knowledge on Credit Bureau Data Reporting, Banking Collections strategy & Data Management techniques is preferred & Strong working knowledge on Statistical Analysis concepts and application is required.
• Knowledge of forecasting and statistical modelling techniques, market research and multivariate analysis tools (e.g., factor and cluster analysis, conjoint analysis etc.) is a plus.

HSBC