1. What is the average salary of a Treasury Analyst I?
The average annual salary of Treasury Analyst I is $60,099.
In case you are finding an easy salary calculator,
the average hourly pay of Treasury Analyst I is $29;
the average weekly pay of Treasury Analyst I is $1,156;
the average monthly pay of Treasury Analyst I is $5,008.
2. Where can a Treasury Analyst I earn the most?
A Treasury Analyst I's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, a Treasury Analyst I earns the most in San Jose, CA, where the annual salary of a Treasury Analyst I is $75,803.
3. What is the highest pay for Treasury Analyst I?
The highest pay for Treasury Analyst I is $76,263.
4. What is the lowest pay for Treasury Analyst I?
The lowest pay for Treasury Analyst I is $51,059.
5. What are the responsibilities of Treasury Analyst I?
Responsible for supporting all aspects of daily treasury operations. Oversees cash reporting and forecasting, credit administration, lender compliance requirements, administration of business insurance programs, and debt facility modeling. Researches economic trends and investment opportunities. May assist senior staff with preparing materials and reports using standard methodologies and procedures. Determines procurement of funds, and monitors investments and collections. Typically requires a bachelor's degree. Typically reports to a manager. Work is closely managed. Works on projects/matters of limited complexity in a support role. Typically requires 0-2 years of related experience.
6. What are the skills of Treasury Analyst I
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
1.)
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
2.)
Forecasting: Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods. Usage can differ between areas of application: for example, in hydrology the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period. Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible. In some cases the data used to predict the variable of interest is itself forecasted.
3.)
Financial Risk: Financial risk is any of various types of risk associated with financing, including financial transactions that include company loans in risk of default. Often it is understood to include only downside risk, meaning the potential for financial loss and uncertainty about its extent. A science has evolved around managing market and financial risk under the general title of modern portfolio theory initiated by Dr. Harry Markowitz in 1952 with his article, "Portfolio Selection". In modern portfolio theory, the variance (or standard deviation) of a portfolio is used as the definition of risk.