The role holder will have the opportunity to gain a fundamental understanding of the Bank's risk and capital processes including model projection methodology across B/PPNR, credit risk, market risk, operational risk, and RWA as well as an enterprise-level perspective of CCAR, Interest Rate Risk, and Strategic Planning activities.
You will work in a central role within an evolving discipline and find an environment that encourages open communication, provides a mature feedback culture, and offers employees a wide range of options to balance the requirements of the workplace with their personal and family needs.
Your key responsibilities
Very complex analysis, evaluation & decision-making
Lead model development engagement with the lines of business and represent TMA in model development activities with the model stakeholders
Work with a wide variety of stakeholders from General Technology to Treasury, Finance, and Line of Business leadership
Data processing: Collect very complex information and process it ready for decision-making
Execute modeling work within the TMA modeling infrastructure.
Check feasibility of implementation approaches with Information Technology and Operations and identify the most viable option
Improvements: Development of very complex methods, processes or analyses as well as improvements
Propose advances in model design and data analysis.
Benchmark the companies approach against industry best practice and drive applicable improvements.
Build relationships in close interaction with the banks leaders and senior executives, as well as senior members from the various lines of business, Treasury, Finance, Risk, Model Risk Management.
Communication effectively and regularly with Senior Management.
Transfer of specialist know-how to employees: assisting more junior modeling teams with the model development narrative about how to communicate key modeling decisions
Functional leadership of a number of employees
Your skills and experiences
Relevant university degree (Master or PhD) in a quantitative discipline with a programming concentration (e.g., Economics, computer science, applied statistics/mathematics, engineering, operations research, etc.)
At least five years of relevant professional experience in a coding and modeling discipline is necessary.
Very strong quantitative background, extensive analytical skills, and ability to efficiently solve problems independently and proactively.
Very strong quantitative skills, including:
Extensive recent hands-on modeling experience in the following key modeling topics: linear and/or non-linear generalized linear mixed models, PCS & Factor analysis, state-space models, panel data analysis, account-level logistics.
Experience with decision trees, cohorting analysis.
Knowledge of Deposit, Loan, Treasury, ALM, Liquidity, and Interest Rate Risk principles and relevant interdependencies
Very strong programming skills, including
Proficiency in R, and other programming capabilities such as Python and Visual Basic
Proficiency in data programming, including database programming in Oracle
Experience with data visualization methods
Ability to work with large amounts of data from a number of inhomogeneous data sources.
Ability to manage very complex model development projects across different locations independently.
Well-organized with a proven ability to solve problems independently with a strong sense of personal ownership and a focus on timelines and delivering results.
Strong relationship management skills including the ability to collaborate with multiple business partners and colleagues to challenge the status quo, influence appropriately, and partner in developing solutions
Good process and project management skills, with the ability to execute against tight deadlines and remain agile to evolving requirements
Excellent communication and presentation skills: be able to explain mathematical/ statistical concepts and results to various stakeholders.