Assistant Director - Decision Systems
HSBC View all jobs
- Bangalore, Karnataka
- Permanent
- Full-time
- Support and oversee the implementation of fraud & credit strategies in decision systems for multiple markets. Provide SME consultation in design to the business stakeholders for initiatives and changes to the decision strategies.
- Support the definition and design of Decision Systems Technology Strategy and implementation i.e. build Cloud based Cognitive decision infrastructure for implementation of Advance Analytics with performance at scale
- Join up with IWPB teams to deliver a consistent Cloud based Decisioning Infrastructure across Underwriting, Originations Fraud and Account Management.
- Support the roll out of Future State decision system across any HSBC markets.
- Implement best practices and standardize the change management process across various regions
- Create global standard service levels & deliver MI to support operational monitoring of Future Decision Systems service. Support the roll out of Future State Decision System across HSBC markets
- Adherence to defined SLAs and deliver MI to support operational monitoring of Decision Systems service.
- Post Graduate degree/ BTech/ BE or equivalent. Minimum 9+ years of successful track record of leading technology (functional) projects with aggressive timelines across the organization
- Must have lead projects in Fraud & Credit Lending Landscape. Exposure to Banking Analytics or equivalent experience in Business, Finance or related field. Knowledge of decision systems.
- Knowledge of both Agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment.
- Experience of Vendor Decisioning or Analytics product(s) is preferred. E.g. Experian Power Curve, SMg3, SAS Intelligent Decisioning, SAS Viya, Fico Traid, Provenir etc.
- Experience in Cloud, Digital Technology and Cognitive/AI platforms will be an added advantage. Experience on DevOps Methodologies
- Strong background working with large-scale data, data management, data quality, visualization and dashboard design and regulatory and compliance matters.
- Strong programming knowledge of Python, TypeScript, React and SQL.
- For candidates focusing on data delivery aspects of the role should possess relevant experience on standard industry tools like Dataflow, Airflow, DAG, Spark, DBT, Big Query, Bigdata