Manager - Fraud Risk

Full-time - Manager

Bangalore, IN

Credit Intermediation and Related Activities

About the position

This position is for Manager - Fraud Analytics with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS/Python programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of Fraud Risk Models and Fraud Risk Analytics for Retail Portfolios including cards, personal loans and digital.

Responsibilities

• 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.
• Achieving assigned full year objectives as per annual P3 document.
• Enhancing relationship with stakeholders by providing analytical support.
• Ensure adherence to all internal and external regulations.
• To embed Operational Risk monitoring as an integral part of the business process.
• Collaborate with team members and stakeholders to effectively drive team deliverables.
• Monitor all major risk issues and concentrations.
• Promote an environment where compliance with internal control functions and the external regulatory framework is a central priority of the business.
• 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.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Requirements

• 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.
• 2-5 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.

Nice-to-haves

• Analytical / Strategic / Conceptual thinking.
• Ability to 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.
• Manage Conduct.
• Manage Risk.

Benefits

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits.
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies.