1

Temporary Quantitative Modeling Jobs in Dallas, TX

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 ...

Senior Analytics Engineer

Southlake, TX · On-site +1

$78.03 - $86.67/hr

Temporary Salary: $78.03-86.67 Hourly W2 Start Date: Aug 16, 2026 Aquent, a leading talent ... Architect Scalable Data Models & Analytics Solutions * Design sophisticated dimensional models ...

Temporary Quantitative Modeling information

See Dallas, TX salary details

$55.9K

$132.4K

$237.4K

How much do temporary quantitative modeling jobs pay per year?

As of Aug 10, 2026, the average yearly pay for temporary quantitative modeling in Dallas, TX is $132,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $143,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a temporary quantitative modeling professional?

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 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.

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 is a temporary quantitative modeling job?

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 are popular job titles related to Temporary Quantitative Modeling jobs in Dallas, TX? For Temporary Quantitative Modeling jobs in Dallas, TX, the most frequently searched job titles are:
What cities near Dallas, TX are hiring for Temporary Quantitative Modeling jobs? Cities near Dallas, TX with the most Temporary Quantitative Modeling job openings:

Sr Analyst, Credit Risk Mgmt

T-Mobile

Frisco, TX • On-site

$84K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


T-Mobile rating

7.3

Company rating: 7.3 out of 10

Based on 647 frontline employees who took The Breakroom Quiz

58th of 97 rated telecommunications companies


Job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!
Join our dynamic Credit Risk Management team as a Senior Analyst, and together, we'll conquer new challenges! At our core, we believe in a collaborative approach, and as a key player in our team, you'll find yourself wearing multiple hats. Your unique blend of analytical prowess, project management finesse, and outstanding presentation skills will be the driving force behind our success.
Collaborate seamlessly with a talented group of analysts, identifying groundbreaking credit segmentation opportunities through statistical methods. Fuel enhancements in our credit decision processes, policies, collections strategies, and fraud prevention measures. This role extends beyond just analysis - you'll be an integral part of the Credit Risk Management team, working hand-in-hand with business partners at T-Mobile. Together, we'll deploy, analyze, and track new credit strategies, manage risk and craft the future of our credit landscape. Ready to make a real impact?
Embark on an exciting career, at the forefront of transforming raw data into meaningful insights! As a key player in our dynamic team, you'll be entrusted with the task of handling substantial data sets, extracting valuable insights, and presenting clear, actionable recommendations. Actively engage in projects, from generating innovative ideas to contributing to the development and implementation stages. Are you ready to bring your expertise to the table as a Credit Risk Management Sr Analyst? Join us and be a driving force in shaping the future of data-driven decision-making!
  • Apply statistical segmentation techniques to identify new opportunities
  • Perform sophisticated qualitative and quantitative analysis of credit polices to ensure financial goals are being attained
  • Develop predictive financial and analytical models using the appropriate statistical methodologies, including trend and regression analysis
  • Participate and perform the analysis of new data and statistical products by external vendors
  • Perform loss forecasting analysis
  • Extract, process and transform data from multiple disparate sources; analyzing credit bureau data and alternative credit data
  • Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines

Qualifications - Minimum Required
  • 5+ years of quantitative analytic modeling experience or comparable process management experience
  • BA/BS in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree required
  • Basic proficiency in SQL, Python, R or other statistical software packages required
  • Outstanding computer skills in Excel, Word, PowerPoint required
  • Strong communication (spoken and written), organization and presentation skills
  • Proven time management skills and awareness of project management methods

Education - Minimum Required
  • Bachelor's Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree

Qualifications - Desired
  • Graduate degree in a quantitative field a plus
  • Intermediate or higher proficiency in SAS or other statistical/analytical programming languages highly preferred
  • Prior consumer risk management experience preferred
  • Wireless / Telecom experience

#LI-Corporate
  • At least 18 years of age
  • Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $84,600 - $152,600
Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ340194&paradox=1
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

What T-Mobile employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom