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Temporary Quantitative Modeling Jobs in Texas (NOW HIRING)

Sr Analyst, Credit Risk Mgmt

Frisco, TX · On-site

$84K - $152K/yr

... quantitative analytic modeling experience or comparable process management experience * BA/BS in ... At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic ...

Sr Analysts, Credit Risk Mgmt

Frisco, TX · On-site

$105K - $115K/yr

... quantitative analysis of credit policies to ensure financial goals are being attained ... Develop predictive financial and analytical models using appropriate statistical methodologies ...

Temporary Quantitative Modeling information

What are the key skills and qualifications needed to thrive as a Temporary Quantitative Modeling professional, and why are they important?

To thrive as a Temporary Quantitative Modeling professional, you need strong quantitative analysis skills, a background in mathematics or statistics, and experience with financial or data modeling. Proficiency in technical tools such as Python, R, MATLAB, Excel, and familiarity with statistical or financial modeling software is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These skills ensure accurate model development, clear reporting of results, and the ability to adapt quickly to project-based work.

What is a quantitative modeler?

A quantitative modeler is a professional who develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making in finance or related fields. They often use programming languages like Python or R and tools such as Excel or specialized modeling software to build and validate models. Strong analytical skills and knowledge of finance, mathematics, and programming are essential for this role.

What are some common challenges faced in a temporary quantitative modeling position, and how can I prepare for them?

In a temporary quantitative modeling role, you may encounter challenges such as quickly acclimating to new data systems, adapting to varying modeling methodologies, and meeting tight project deadlines. Since you may join ongoing projects, being able to rapidly understand existing models and communicate your findings to both technical and non-technical stakeholders is crucial. Preparing by brushing up on relevant programming languages (like Python or R), familiarizing yourself with common financial or statistical modeling platforms, and practicing concise reporting will help you hit the ground running and succeed in a fast-paced environment.

Can you do modeling as a part-time job?

Temporary quantitative modeling roles can often be performed part-time, especially if the work involves freelance or project-based tasks. These positions may require proficiency in tools like Excel, Python, or R, and flexible schedules are common depending on project deadlines and client needs.

What is the difference between Temporary Quantitative Modeling vs Quantitative Analyst?

AspectTemporary Quantitative ModelingQuantitative Analyst
CredentialsBachelor's or Master's in Finance, Math, or related fieldsBachelor's or Master's in Finance, Math, or related fields
Work EnvironmentProject-based, short-term assignments, often within financial firmsFull-time, ongoing roles within investment banks, hedge funds, or asset management
Employer & Industry UsageUsed by consulting firms, financial institutions for specific projectsEmployed directly by financial firms for continuous analysis and strategy development

Temporary Quantitative Modeling involves short-term, project-based work focused on developing models for specific financial tasks. Quantitative Analysts typically hold ongoing roles, providing continuous analysis and strategy support within financial institutions. Both roles require similar educational backgrounds but differ mainly in duration and scope of employment.

What are Temporary Quantitative Modeling jobs?

Temporary Quantitative Modeling jobs are short-term positions where professionals use statistical, mathematical, or computational techniques to analyze data and create predictive models, often to support business decisions or research projects. These roles are typically project-based or fill-in assignments, and can be found in industries like finance, healthcare, technology, and consulting. People in these jobs may work on tasks such as risk assessment, algorithm development, or data-driven forecasting. Temporary roles are ideal for those seeking flexibility or experience in the field without long-term commitment. Candidates usually need strong analytical skills and proficiency in programming languages such as Python, R, or MATLAB.

What jobs pay $500,000 a year in the US?

In the field of quantitative modeling, senior roles such as Quantitative Research Directors, Chief Investment Officers, or senior quantitative analysts at hedge funds and investment banks can earn $500,000 or more annually, often including bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and extensive experience in finance and data analysis.

What job makes $1,000,000 a year?

In the field of temporary quantitative modeling, earning $1,000,000 annually is uncommon and typically requires senior-level positions, extensive experience, and high-value projects. Such compensation may be found in senior quantitative roles at hedge funds, investment banks, or financial firms, often involving complex data analysis, advanced programming skills, and significant responsibility.
What are the most commonly searched types of Quantitative Modeling jobs in Texas? The most popular types of Quantitative Modeling jobs in Texas are:
What cities in Texas are hiring for Temporary Quantitative Modeling jobs? Cities in Texas with the most Temporary Quantitative Modeling job openings:
Infographic showing various Temporary Quantitative Modeling job openings in Texas as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Analyst (Temporary)

City of San Antonio, TX

San Antonio, TX • On-site

$59K - $87K/yr

Temporary

Medical, Life, Retirement

Posted 11 days ago


Job description

Salary : $59,000.24 - $87,207.12 Annually
Location : 3510 S WW WHITE RD, SAN ANTONIO, TX 78223, TX
Job Type: 4C Temp
Job Number: 2026-01173
Department: Pre-K 4 SA
Opening Date: 07/23/2026
Closing Date: 8/9/2026 11:59 PM Central
Grant Funded: No
FLSA Status: Exempt
Job Summary
Under direction, interprets data to help organizations make informed decisions. Collects, processes, analyzes, and presents data in a concise format or presentation. Conducts research, analyzes complex statistical data, develops planning timetables, evaluates systems, policies, and procedures, and makes recommendations to achieve goals and objectives. May exercise functional or technical supervision over assigned staff.
This position is funded by sales tax that has been approved by the citizens of San Antonio for a limited time period. This position, therefore, is subject to at-will employment status, and is unclassified and has no disciplinary appeal rights to the Municipal Civil Service Commission.
Work LocationPre-K 4 SA Corporate Office - 3510 S WW White Rd, San Antonio, TX 78222
Work Schedule7:45 a.m. - 4:30 p.m. Monday - Friday
Essential Job Functions
  • Collects, cleans, and analyzes data from various sources to ensure accuracy and reliability.
  • Performs data analysis to help identify patterns, trends, and anomalies.
  • Applies statistical methods and data modeling techniques to interpret data and make predictions.
  • Compiles and cleans databases and data collection systems for optimal data quality and efficiency.
  • Designs reporting dashboards to translate data to an understandable, illustrative format to non-technical audiences.
  • Performs basic and advanced statistical analyses with quantitative and qualitative data.
  • Leads collaboration with cross-functional teams to understand data needs and deliver relevant data-driven solutions.
  • Ensures data privacy and security compliance in all data handling and processing activities.
  • Stays updated with the latest data analysis tools, techniques, and industry trends for continuous improvement.
  • Researches technical issues and provides solutions; makes technological recommendations for improvements.
  • May assist in the preparation and monitoring of the annual budget.
  • Uses findings to make data-driven recommendations for practices, programming, and policies.
  • Prepares and completes ad-hoc reporting requests, summaries, and presentations.
  • Performs related duties and fulfills responsibilities as required.

Job Requirements
  • Bachelor's Degree from an accredited college or university
  • Two (2) years of experience in a relevant field, including but not limited to data analysis or statistical modeling
Preferred Qualifications
  • Ability to pass a Department of Family and Protective Services (DFPS) background check.
  • Bilingual in English and Spanish.
  • Prior professional experience working in a school environment.
Applicant Information
  • Unless otherwise stated, applicants are permitted to substitute two years of related full-time experience for one year of higher education or one year of related higher education for two years of experience in order to meet the minimum requirements of the job. One year of full-time experience is defined as 30 or more hours worked per week for 12 months. One year of higher education is defined as 30 credit hours completed at an accredited college or university.
  • Applicants selected for employment with the City of San Antonio in this position must receive satisfactory results from pre-employment drug testing and background checks. If required for the position, a physical, motor vehicle record evaluation, and additional background checks may be conducted.
  • Please be advised that if selected for this position, information regarding employment history as it relates to the qualifications of the position will be needed for employment verification. Applicants claiming military service to meet the experience requirement for this position may attach a DD214 to the application.
  • If selected for this position, official transcripts, diplomas, certifications, and licenses must be submitted at the time of processing. Unofficial transcripts and copies of other relevant documents may be attached to the application for consideration in advance.

Knowledge, Skills, and Abilities
  • Knowledge of data analysis and technology
  • Knowledge of data models, database design and development, data mining, and techniques
  • Knowledge of computer software and hardware applications
  • Knowledge of statistics and experience using statistical packages for analyzing datasets
  • Knowledge of budget and accounting principles
  • Skill in data collection, cleaning, transformation, and validation
  • Ability to identify, gather, and evaluate data
  • Ability to operate a computer keyboard and other basic computer equipment
  • Ability to provide technical assistance to users
  • Ability to communicate clearly and effectively
  • Ability to perform all the physical requirements of the position with or without accommodations
  • Ability to work primarily in an office environment

Benefits Information
The City of San Antonio (CoSA) strives to provide a competitive compensation and benefit package to attract and retain a highly skilled workforce. To accomplish this, CoSA offers subsidized health care benefits for active and retired employees, paid disability benefits, paid life insurance, as well as automatic participation in a pension program which is currently matched two to one.
For more detailed information, please click on the following link to view Benefits offered by the City of San Antonio:
Note:
  • Part-Time, Temporary, and non-City positions are not eligible for CoSA Benefits.
  • Holiday and Leave benefits for Pre-K 4 SA positions may be different than what is listed at the above link.

Additional Information
The City Of San Antonio is an Equal Opportunity/Reasonable Accommodation Employer. This means that the City does not discriminate on the basis of race, religion, sex (gender), age, disability, national origin, genetic information, or sexual orientation. All individuals are encouraged to apply and compete for jobs with the City of San Antonio.
If you require assistance at any stage of the application process due to a disability, please contact the so that accommodations may be made to meet your needs. Our telephone number is 210-207-8705 and our fax number is 210-207-2285.
01
Are you a current regular full time or part time CoSA employee?
  • Yes - I am a Full Time City Employee.
  • Yes - I am a Part Time City Employee.
  • No - I am not a Full Time or Part Time City Employee.

02
Are you a veteran or active member of the armed forces?
  • Yes
  • No

03
Are you a San Antonio Ready to Work Program (SARTW) or Train for Jobs San Antonio Program (TfJSA) participant?
  • Yes - SA Ready to Work Program
  • Yes - Train for Jobs SA Program
  • Yes - Both Programs
  • No

04
What best describes your highest level of education at the end of the current semester?
  • Some High School
  • High School Diploma or GED recognized by the Texas Education Agency or a regional accrediting agency
  • 30+ completed semester hours (credits) from an accredited college or university
  • 60+ completed semester hours (credits) from an accredited college or university
  • Associate's Degree from an accredited college or university
  • 90+ completed semester hours (credits) from an accredited college or university
  • 120+ completed semester hours (credits) from an accredited college or university
  • Bachelor's Degree from an accredited college or university
  • Master's Degree from an accredited college or university
  • PhD, JD, or other Post Graduate Degree from an accredited college or university
  • None of the above

05
How many years of experience do you have in data analysis, statistical modeling, or other relevant field?
  • I do not have any experience
  • Less than one year
  • 1 year
  • 2 years
  • 3 years
  • 4 years
  • 5 years
  • 6 years
  • 7 years
  • 8 years
  • 9 years
  • 10 years
  • 11 years
  • 12 years or more

06
How many years of experience do you have in a school or early childhood education setting?
  • I do not have any experience
  • Less than one year
  • 1 year
  • 2 years
  • 3 years
  • 4 years
  • 5 years
  • 6 years
  • 7 years
  • 8 years
  • 9 years
  • 10 or more years

07
Select any of the following Microsoft Office applications that you have professional experience with.
  • Word
  • Excel
  • Access
  • PowerPoint
  • Publisher
  • Visio
  • Outlook
  • Teams
  • None of the above

08
How would you best describe your proficiency in speaking and writing in Spanish?
  • I am not able to communicate
  • Beginner (Know some words)
  • Intermediate (Communicate with minimal assistance)
  • Advanced (Can communicate)
  • Fluent (Able to effectively communicate and teach others)

09
Select the response that best reflects the strength of your abilities with Microsoft Excel:
  • No Experience or Exposure
  • Beginner - familiar with some functions, able to utilize a smaller subset of those functions. (able to read and edit spreadsheets and write basic arithmetic formulas)
  • Intermediate - familiar with most functions, able to utilize a robust subset of those functions. (able to manipulate data by creating graphs, pivot tables, and using filters)
  • Advanced - familiar with nearly all functions, able to utilize nearly all functions. (able to perform analysis using more complex formulas such as If, Vlookup, Index/Match, Data Model, or What-If Analysis such as Goal Seek)
  • Expert - familiar with and able to utilize all functions. (able to perform all previously listed examples in addition to the automation of workflows through the use of VBA scripts/macros)

10
Describe a data analysis you completed that led to a recommendation or decision. How did you ensure your analysis was accurate, and how did you communicate your findings? If you do not have any relevant experience, respond "n/a".
11
Provide an example of a time you built or significantly improved a data collection process. What problem were you trying to solve, what changes did you make, and how did you ensure the data was collected consistently across teams or users? If you do not have any working experience, respond "n/a"
12
Provide an example of a time you were responsible for ensuring data was collected accurately and on time across multiple people or departments. How did you keep the process organized, encourage accountability, and address issues when data was late or inaccurate? If you do not have any relevant experience, respond "n/a".
13
I acknowledge that this position is a temporary and "unclassified" position and has no disciplinary appeal rights to the Municipal Civil Service Commission. This position is likewise subject to at-will employment status and can be terminated at any time for any reason.
  • I acknowledge

14
I acknowledge this position is funded by sales tax that has been approved by the citizens of San Antonio for a limited time period. This position, therefore, is subject to at-will employment status, and is unclassified and has no disciplinary appeal rights to the Municipal Civil Service Commission.
  • I acknowledge

15
I understand that if I have a need for a reasonable accommodation to participate in the recruitment and interview process, I can contact the Human Resources Department at AskHR@sanantonio.gov or 210-207-8705. I further understand that if an accommodation is necessary to perform the position for which I have applied, I can contact HR after an offer has been extended.
  • I acknowledge.

Required Question