Manager Quantitative Analytics

at  TD Bank

JOB REQUIREMENTS

• Robust quantitative skills with an advanced degree in one or more of the following areas: Financial Engineering, Mathematics, Statistics, Econometrics, Computer Science & Engineering
• Proficiency in SAS and at least one of the following: R, MATLAB, Python, VBA
• Ability to write complex SQL queries for data analysis
• Familiarity with various modelling techniques and comfortable to conduct quantitative tests
• Experience in model development or validation is required
• Exposure or experience in credit risk modelling (e.g. AIRB parameter models, allowance models or credit risk stress testing models) for C&I/CRE portfolios is required
• Good understanding of AIRB parameters and IFRS9 / CECL requirements and business acumen in macroeconomics and commercial / wholesale credit lending is an asset
• Inquisitive nature, ability to ask the right questions and escalate issues. Risk & Control mindset
• Good time management and multitasking skills with minimal supervision
• Excellent ability to write comprehensive technical documents is required

WHO WE ARE

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

• Validate non-retail models including Credit Risk Parameters (i.e., PD, LGD and EAD) and allowance Models (i.e. IFRS 9 and CECL), and Credit Risk and PPNR stress testing models for the non-retail portfolios
• Design and implement validation methodologies and standards. Ensure that the validation methodologies and standards are in line with industry best practice or address regulatory and audit requirements and/or findings in a timely manner.
• Evaluate the conceptual soundness of the model methodology; Reasonability of assumptions and reliability of inputs; Suitability and comprehensiveness of performance metrics and risk measures associated with the use of the model.
• Apply a variety of technical / statistical tests, modeling techniques and business insights to assess the model specification and performance.
• Evaluate and implement external models used for benchmarking internal model performance. Participate in model selection and related due diligence activity.
• Actively participate with business partners in internal data management to ensure data integrity and the completeness of data capture for model validation and development purpose, as well as meet regulatory requirements on data capture and retention.
• Maintain/develop professional knowledge of techniques and developments in the field of quantitative analysis and share knowledge with business partners and senior management