Quantitative Associate – Strategic Modeling and Analytics

Found in: Resume Library US A2 - 2 weeks ago


Charlotte North Carolina, United States First Citizens Bank Full time
Overview:
This position is a senior level quantitative associate that directly supports the development of balance sheet forecasting models and base pricing models focusing on linear/non-linear FX derivatives and linear/non-linear IRD derivatives.  The position sits within Strategic Modeling and Analytics (SMA) team within 1LOD Treasury Department.  The SMA team owns and develops a wide spectrum of models, assesses applications in support of risk management efforts that measure the market risk and identify gaps in existing or proposed processes, and supports strategic decision making.  A critical responsibility of the team will be to develop Basel 3 derivative base pricing functions and partner with key stakeholders to define a Basel 3 implementation strategy.  Prior experience at CCAR filing institution or Large Financial Institution (LFI) presenting to regulators, model validators and auditors modeling methodology and model development decisions and documentation is recommended.  Advanced proficiency in stochastic and deterministic derivative base pricing models used to derive present values or partials of derivatives is also recommended.  Experience in industry known pricing vendors (Calypso, Bloomberg, Numerix, RiskMetrics) will be highly regarded. 

Responsibilities:
Data Analysis - Applies scalable analytical approaches to group, cluster, and evaluate large data sets.  The candidate will lead the ongoing development and support of methodologies, updates, and support for key assumptions, and/or input parameters for modeling including:Develop and enhance consumer loan CCAR model, assumption, and inputs.

Develop Basel 3 End Game base pricing models to calculate sensitivities for traded products

Test model implementation in various vendor systems by developing or using benchmark models

Model Development and support – Applies scientific/quantitative analytical approaches to draw conclusions and makes recommendations to answer business objectives and lead change. Collaborates with model validation team to go through model validation, performs performance monitoring and sensitivity test. Tests model change implementation and analyzes model change impacts. Coordinates closely with internal stakeholders to promote high-quality, consistent, and robust methodologies, assumptions, and approaches.  Specific model development focus on:Consumer Loan Model

Linear/Non-Linear FX Derivatives

Linear/Non-Linear IRD Derivatives

Linear/Non-Linear Credit Derivatives

Non-Linear Equity Derivatives

Model Governance – Engage actively with Model Risk Governance to resolve high, medium, and low severity findings.  Additional responsibilities include:Develop scalable model performance monitoring

Develop logical model key performance indicators (KPIs) to measure model performance

Qualifications:
Bachelor's Degree and 3 years of experience in Finance or Analytics OR High School Diploma or GED and 7 years of experience

 

Preferred Qualifications:

Masters Degree in Quantitative Discipline (Financial Engineering, Computer Science, Statistics, Economics, Applied Mathematics)

CFA designation or work towards completion.

Experience in statistical /quantitative analysis tools such as SQL, Python, R, Matlab

Knowledge in statistical modeling techniques such as model forecasting and statistical modeling approaches such as linear/logistic regression model, time series, and error-correction models, GARCH (OLS, VAR, Cointegration, etc.)



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