• The Model/Anlys/Valid Intmd Anlyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information.
• Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

Responsibilities:

We are looking for model risk manager and validator for validating Risk models, which includes Credit Risk, Structured Risk, Operational Risk, Liquidity Risk, Insurance and Pension models for assessing the adequacy of risk capital and estimated losses for regulatory or business requirements.

Our rigorous validations include the technical assessment of adequacy of the modeling data and assumptions, conceptual soundness and mathematical formulation, and model performance, as well as the assessment of using the model for regulatory and business applications. Responsibilities of this position include performing validation tests, discussing findings with internal and external stakeholders, writing validation reports, and managing model risk.

Qualifications:

• Minimum of Master’s degree in a quantitative field (physics, mathematics, statistics, finance, economics, computer science, etc.)
• Sound knowledge of Calculus, Numerical Analysis, Statistics, and Linear Algebra.
• Strong communication skills both verbal and written.
• Knowledge of financial products, pricing methodologies, risk management, Basel/CCAR regulatory requirements.
• Ability to work independently as well as collaborate with colleagues.
• Solid writing skills. Publications in peer-reviewed journals are considered as good evidence.
• Programming skills: C/C++, SAS, R, Python, Matlab, Java, Oracle and SQL.
• Curiosity, diligence, and a healthy skepticism about received wisdom are all desirable;
• Team work and commitment a must.

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Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - US

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Time Type :Full time

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