Associate Director, Fraud Risk

Key Responsibilities

Strategy

• Development of Fraud Risk models for Retail Portfolios across application, lending and digital.
• Developing statistically derived predictive models, perform decision tree-based customer segmentation & profiling analyses, assist business implementation of Fraud Risk models to support Standard Chartered retail businesses across the globe.
• Support Fraud Risk analytics related to Retail Portfolios including rules development and augmentation

Business

• Achieving assigned full year objectives as per annual P3 document
• Enhancing relationship with stakeholders by providing analytical support

Processes

• Ensure adherence to all internal and external regulations
• To embed Operational Risk monitoring as an integral part of the business process. Towards this, to effectively carry out the assigned role, if any, under Compliance Risk Management Assurance.

People & Talent

• Mentor analysts and provide appropriate advice wherever required during analytics deliverables

Risk Management

• Monitor all major risk issues and concentrations. Where appropriate, direct remedial action and/or ensure adequate reporting to Risk Committees

Governance

• Promote an environment where compliance with internal control functions and the external regulatory framework is a central priority of the business

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group's Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders

• Credit & Fraud Risk Heads
• Portfolio teams
• Model validation team
• Model risk policy and governance team

Skills and Experience

• Analytical / Strategic / Conceptual thinking
• Ability multi-task between executing a project hands-on along with guiding/overseeing Associate Managers
• Attention to detail
• Problem solving
• Verbal/Written communication
• Presentation skills
• Self-driven, highly motivated, organized and methodical
• Business Products and Processes
• Data Science, Model Development & Analytics
• SAS/SQL/Python Proficiency
• Manage Conduct
• Manage Risk

Qualifications

• Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline
• Good understanding of retail banking / small business / consumer finance products and business life cycles (e.g. sales, underwriting, portfolio management, marketing, collections)
• 6- 10 years of in-depth experience in hands-on Statistical Model Development in fraud risk for retail banking / small business / consumer finance portfolios
• Experience in Fraud Detection Modeling using machine learning algorithms to handle classification data with skewed class proportions
• Proficient in statistical programming skills in SAS (preferred) or similar (Python), strong analytical skills and understanding of quantitative and statistical analysis
• Hands-on experience in mining data and understanding data patterns
• Experience in directly interacting with Business and exposure to international markets will be a plus