At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
The Asset Liability Management (ALM) team is a team within our Corporate Treasury department. We are responsible for balance sheet management strategy, portfolio and brokered deposit notional investment allocation decisions, balance sheet modeling and analytics, market risk management, ALM derivatives, and net interest revenue forecasting. The overall team manages fixed-income investments in several portfolios totaling approximately $500 billion in balance sheet assets and approximately $100 billion in off-balance-sheet brokered deposit agreement notional investments.
As an individual contributor within the ALM team focused on Market Risk Modeling, you will play a key role in the overall interest rate risk management, strategic optimization of the balance sheet through the development and execution of a robust market risk modeling framework. You’ll collaborate with investment portfolio managers, risk partners, and product leaders and others across the firm and play a key role in achieving risk-return optimization mandate.
In this role, you will be responsible for deploying vendor models and developing in-house quantitative models to support interest rate risk management within ALM team. This includes prepayment models, new volume pricing models as well as yield curve models. This role is critical to maintaining current automation framework written in Python as well as improving and adding new features to it. Additionally, this role is a key collaborator with ALM analytics and other modeling team to achieve balance sheet management goals.
This is a role where you will be able to grow your expertise through consistent challenges with the backing of passionate leaders who will value your contributions and prioritize your development.
What you haveRequired:
Five years relevant experience or combination of time in post graduate studiesDegree in a quantitative field such as Applied Mathematics, Engineering, or Economics is desired.Expertise in general fixed-income security modeling and analyticsExpertise in using vendor prepayment modeling for MBS and consumer loansExperience in developing in-house prepayment models for MBS and consumer loansStrong background with yield curve modeling, including stochastic interest rate models as well as volatility modelsPractical knowledge with modern technology stack including OOP, database, cloud platformsExperience in building automation pipelines with Python/C++/C#/SQL
Preferred:
Experience with interest rate risk management systems such as PolyPaths, Intex, Bloomberg, QRM, CalypsoExperience with Interest rate risk in the banking book, including NII and EVE simulationsCFA, FRM or PRM designations a plusIn addition to the salary range, this position is also eligible for bonus or incentive opportunities.
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