Quantitative Operations Assoc - Cash Forecasting - Band 5

Job Description:Line of Business Specific Job Description: Data scientist and business architect responsible for independently conducting quantitative analytics, building process methodologies, and implementing output. Responsible for developing/implementing new models, analytic processes or systems approaches. Proactively documents measures of success and works across Operations and Technology teams to execute on data-driven recommendations. Functionally integrates advanced statistical theory with machine learning techniques to transform traditionally manual operations.Responsibilities include:

• Packaging and communicating conceptual foundations of new and existing: models, model specifications, underlying assumptions, limitations, variable selection, underlying data, developmental evidence, and documentation.
• Assessing quality of model outputs through back testing against realized outcomes, benchmarking against alternative models and other relevant tests.
• Aligning the mechanics of implementation with LOB tactical execution timelines and strategic development.
• Translating theory to practice and operationalizing sound methodologies in imperfect environments.

• Master's degree in Statistics, Mathematics, Finance, Engineering, Physics, Economics or related field or equivalent experience.
• Minimum 3 years of experience in computational, engineering or scientific research or development roles.
• Minimum 3 years of programming experience using SAS.
• Functional experience with relevant statistical methods, hypothesis testing, and advanced machine learning (specifically artificial neural networks).
• Data development experience with: Oracle, Hadoop, Teradata, and SQL Server.
• Strong knowledge of risk management principles.
• Deep understanding and knowledge of model performance measures.
• Experience in forecasting or quant group in a bank, financial institution or vendor.
• Ability to communicate clearly and effectively.
• Ability to produce high quality technical documentation.