Senior Quantitative Analyst

General Description

Develop, interpret, and implement complex financial and accounting concepts, or techniques; specializing in the application of mathematical and statistical methods to financial and risk management problems.

Essential Duties and Responsibilities

•    Lead a team of Quantitative Analyst and collaborate with other business areas to develop and maintain recurring quantitative analysis, reports and related services.
•    Apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information.
•    Analyze data using analysis software such as R, SAS, Strata, or SPSS.
•    Develop predictive and forecasting models applied to Banking and Finance.
•    Gather, evaluate, and relay both internal and economic data to predict different types of risks by making use of econometric and statistical methods.
•    Conduct special studies to analyze complex financial actions and prepares recommendations for policy, procedures, control, or action.
•    Analyzes financial information to determine present and future financial performance.  Identifies trends and recommends improvements accordingly.
•    Prepares studies, reports, and analyses such as budgets, forecasts, financial plan, regulatory requirements, statistical reports, cash flow projections, valuations, and business forecasts.
•    Assist in the development of the budget, planning, and other corporate financial requirements.  Maintains databases and ensures that the data are reliable.
•    Provides analytical support and documents models as per model validation requirements. 
 

Education

Bachelor's degree in economy, Statistics, Mathematics or a related quantitative field; a Master’s degree is a plus.

Experience

At least five years of related experience.

Additional Requirements

•    Proficiency in Microsoft Excel and Business Objects.
•    Course work in Calculus, Financial Mathematics, Financial Accounting, Macro and Micro Economics, Programming, Probability, and Statistics.
•    Knowledge of accounting principles, applicable laws, regulations and practices, financial markets, financial analysis, and reporting of financial data.
•    Experience in applied numerical methods such as Internal Rates of Return, Cash Flow forecast, Net Present Value, Logistic Regression, Linear Regression, and CHAID.
•    Proficiency in a statistical analysis software such as R, SAS, Strata, or SPSS.
•    SQL programming
•    Fully Bilingual:  English/Spanish
 

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