Manager/AM - Fraud Modelling - BFS

Roles & Responsibilities

- Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline

- 5-9 In-depth years' experience with machine learning algorithms to handle a classification data with skewed class proportions

- Good experience in fraud detection modelling or training models on imbalanced data

- Proficient statistical programming skills in SAS, Python, R or similar, strong analytical skills and understanding of quantitative and statistical analysis

- Good to have understanding of retail banking / small business / consumer finance products and business life-cycles (e.g. sales, underwriting, portfolio management, marketing, collections etc)

- Statistical Modelling in credit risk for retail banking / small business / consumer finance portfolios will be plus

- Experience in directly interacting with Business and exposure to International markets will be a plus

- 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