Job Title: Treasury Modelling Analytics Corporate Title: Vice President Location: New York, NY
Under the leadership of the Group Treasurer, Group Treasury is responsible for managing the financial resources of the firm through capital management, liquidity management, asset and liability management, funding, and other core treasury activities. Group Treasury resides within the Group Finance organization led by the Group Chief Financial Officer.
We are actively seeking a Vice President professional for the New York office. The primary function of this role is to help provide leadership for the Bank's CCAR modelling methodologies to ensure that practices align with the regulatory Range of Acceptable Practices and are also consistent with ever-advancing industry practices. This particular role will lead the Banking Book team. Banking Book modelling includes models for the balance sheet and income statement. The key businesses for which this role will interact are Private Wealth management and Deutsche Bank's corporate banking business. Within wealth management, the model inventory includes loans (at the account level), Assets under Management (at the aggregate level), and fee income. Within the corporate banking business, the model inventory includes deposits (at the portfolio level), loans, and income.
Modelling practices include time-series regression, logistic regression, and hybrid approaches that combine qualitative forecasts with bucketing approaches, cohort analysis, decision trees and other data sorting methods. However, this role is a leadership role. It is expected that you will be able to propose advances in modelling and analytic approaches as the businesses and regulatory expectations evolve.
This high-visibility role will be in close interaction with Deutsche Bank USA leaders and senior executives, as well as senior members from the various lines of business.
The opportunity to join the Treasury Modelling Analytics team will provide the following benefits:
Insight into a new and evolving discipline
A fundamental understanding of the Bank's risk and capital processes, including model projection methodology across the following areas: B/PPNR, credit risk, market risk, operational risk, and RWA
Ability to interact with different Business Divisions and Control and Support Functions across the Bank
An enterprise level perspective of CCAR and the Capital Adequacy processes and capabilities to develop and manage the Bank's Capital Plan
The position of Vice President, Treasury Modelling Analytics in our New York Office will include the following:
Lead development and implementation of Board-level capital analytics, including developing quarterly assessments of the Bank's capital depletion under stress to senior management
Build and maintain an inventory of quantitative models to assist in capital adequacy assessments under different scenarios
Design and maintain a framework to define the usage of relevant models
Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details and abstract up from low-level information to a general understanding
Build quantitative models to assist in capital adequacy assessments under different scenarios, creating insights for senior management
Work independently with team leads / teams / management
Provide mentorship and guidance to analysts on the team
Skills and Qualifications
Strong quantitative skills, including:
Proficiency in at least multiple high-level programming language (e.g., SAS, R, MATLAB, etc.)
Deep knowledge of Deposit, Loan, Treasury, and ALM principles and relevant interdependencies
Extensive modeling experience of at least one of the above
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, etc
Knowledge of key distributions and their implementation in various analysis contexts
Desired skills would be:
Working experience of Credit Risk methodologies (e.g., Structural approach, ratings migrations, etc.)
Experience with ALM analysis and FTP
Knowledge of derivatives and their use to manage risk in the Banking Book
Advanced (PhD, MA, MS) degree with a quantitative concentration, e.g., applied statistics / mathematics, engineering, operations research, etc
Experience in a modeling discipline for Banking or Capital Markets at a top tier bank or consulting firm
Superior relationship management skills including ability to collaborate with multiple business partners and colleagues to challenge the status quo, influence appropriately, and partner on developing solutions
Good process and project management skills, with the ability to execute against tight deadlines and remain agile to evolving requirements
Internal Number: 5884380
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