JOB DESCRIPTION:

• Being a member of the Model Risk Management (MRM) Team, the Model Validation Associate Director is responsible for overseeing enterprise-wide MRM and supporting front-line units in leading model risk.
• MRM provides oversight of day-to-day activities to identify, measure, monitor, and handle risk related to the design, development, and implementation and use of models.
• Per the Federal Reserve Supervision and Regulator guidance (SR 11-7), Model Validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.
• Effective validation helps to ensure models are sound, identifying potential limitations and assumptions and assessing their possible impact.
• All model components, inputs, processing, outputs, and reports are subject to validation and applies equally to models developed in-house and to those purchased from or developed by vendors or consultants.
• The Model Validation team is also responsible for evaluating the Model Performance Monitoring Plan for each model and continuously assessing the results.

RESPONSIBILITIES:

• Perform hands-on validations and reviews, write quality model validation reports, and provide model approvals.
• Collaborate with the Project Management Office (PMO) to maintain a viable model validation schedule, coordinate and oversee model validation, and review performed by the model validators to ensure timeliness, quality, and effective challenge.
• Work with the model owner, model developer, and model user on all aspects of model validation and issue resolution.
• Prepare model validation and review presentations to the Model Risk Governance Council (MRGC) meetings for model approval, model issue tracking and resolution. Present results and finding resolutions to the Model Risk Governance Council (MRGC).
• Collaborate with the Operations & Management Assurance (OM&A) team to ensure the highest quality of validation, annual review, and Model Performance Monitoring (MPM) reports.
• Collaborate with the auditors and regulators on all aspects of model validation.
• Challenge the model performance and methodologies at monthly MRGC review meeting.
• Perform ad hoc analysis to identify model limitations and performance issues. Recommend action plan for remediation.
• Review Model Performance Monitoring (MPM) metrics and plans according to firmwide Model Performance Monitoring (MPM) standards and opine on the appropriateness of the metrics and plans.
• Present Model Performance Monitoring (MPM) reviews, oversight results, and finding resolutions to the Model Risk Governance Council (MRGC).
• Challenge Model Performance Monitoring (MPM) reports at monthly Model Risk Governance Council (MRGC) review meeting.
• Review low-tier models and non-models and implement established controls.
• Knowledge of the financial market and products. Experience in model validation and or model development. Familiarity with regulatory requirements on Model Risk Management(SR 11-7 and CCAS rules).
• Proficiency in programming languages (For example, SQL, Python, R, SAS, C/C++).
• Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior.

QUALIFICATIONS:

• Ph.D. or master’s degree in quantitative finance, mathematics, economics, financial engineering, or other quantitative fields
• 3-5 years of related experience, ideally in financial risk model validation, risk analytics or quantitative modeling
• Familiar with banking, financial institutions, financial instruments, and capital markets
• Broad expertise in quantitative finance on valuation models (curve building methodologies, term structure models, option models, credit models), and risk management models and methodologies (Greeks, VaR, back testing, stress testing)
• Experience and authority knowledge on VaR modeling and VaR model back testing methodologies
• Strong mathematical background, especially in probability theory, stochastic processes, and PDE’s
• Economic modeling and applied statistics skills (i.e., estimation, time series modeling, Monte Carlo simulation techniques, etc.)
• High Level of digital literacy, ability to work efficiently with MATLAB, Excel (VBA), SQL, R, Python or C++
• Excellent written and verbal communication and presentation skills, ability to communicate quantitative concepts to financial professionals
• Knowledge of prepayment modeling, MBS pricing and risks is a plus
• Knowledge and experience on data science and Machine Learning technics/languages is desired
• SEC Covered Clearing Agency Standards

ABOUT DTCC: With 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance, and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes and bringing increased security, enhanced resilience, and soundness to financial markets. In 2022, DTCC’s subsidiaries processed securities transactions valued at U.S. $2.5 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $72 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 17.5 billion messages annually.