The Analyst is responsible for: • Developing and maintaining Credit Risk models. The purpose of the role is to build capabilities model risk measurement, management, and strategy, including: • Current and target state for regulatory models • RRA model networks and model risk • Regulatory requirements and future changes • Model life cycle and control framework • Model systems and Regulatory and Accounting Calculations The role holder will report to the Director of the retail modelling team. Build understanding of credit products, policies, and portfolio history. Apply business knowledge in proposing model design and justifying modelling decisions.
Develop models according to the Rolling Work Plan, including the following: • Extraction, preparation and audit of data and model definitions to ensure accuracy and completeness. • Develop new, maintain, and enhance models according to industry standards. • Prepares and maintains the required and supporting documentations, reports, and analysis. • Ensures that the models meet the SCB model standards, internal governance process and relevant regulations.
Qualifications: • Bachelors / Advanced (Master 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.) • Experience in quantitative analysis & statistical modelling in credit risk / marketing / portfolio strategy for retail banking / small business / consumer finance portfolios/ • Proficient statistical programming skills in SAS (preferred) or similar, strong analytical skills and understanding of quantitative and statistical analysis. • Hands-on experience in mining data and understanding data patterns. • Demonstrated proficiency in scorecard development is a plus. • Experience in directly interacting with Business and exposure to international markets will be a plus.
Proficient statistical programming skills in SAS (and other statistical software a plus), strong analytical skills and understanding of quantitative and statistical analysis. Strong experience with: DATA step data manipulation with arrays, do-loops, and merges; SAS Macro language, SAS/GRAPH, PROC SQL experience, OLS and logistic regression, univariate and multivariate statistical analysis, CART and/or CHA
• Analytical / Strategic / Conceptual thinking • Attention to detail • Problem solving • Verbal/Written communication • Presentation skills • Highly motivated, organized, and methodical • Ability multi-task between executing a project hands-on along with guiding/overseeing Managers
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
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In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.