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Applied Math Jobs in Plano, TX (NOW HIRING)

GM Financial

Risk Statistician

Fort Worth, TX · Hybrid

Bachelor's Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience ...

Michaels Stores

Manager - Data Science

Irving, TX · On-site

Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields) Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job. At The Michaels ...

GM Financial

Risk Statistician

Fort Worth, TX · Hybrid

Bachelor's Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience ...

Programmers.io

Snowflake Developer

Dallas, TX · On-site

* Bachelor's or Masters in Computer Science, Applied Mathematics, Engineering, or a related quantitative field. b. c. d. * Experience: Minimum of 3-5 years of professional "hands-on-keyboard" coding ...

Salcomp

Engineering Manager Manufacturing

Arlington, TX · On-site

$100K - $150K/yr

QUALIFICATIONS The incumbent MUST be able to: · Thoroughly understand of engineering theory and design criteria. · Thoroughly understand of applied math and physics. · Have excellent interpersonal ...

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All JobsApplied Math JobsApplied Math Jobs in Plano, TX

Applied Math information

See Plano, TX salary details

$21.5K

$56.3K

$90.4K

How much do applied math jobs pay per year?

As of Jun 13, 2026, the average yearly pay for applied math in Plano, TX is $56,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,100.00 and $67,000.00 per year, depending on experience, location, and employer.

What are applied mathematicians?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an Applied Mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in Plano, TX? For Applied Math jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Plano, TX look for? The top searched job categories for Applied Math jobs in Plano, TX are:
What cities near Plano, TX are hiring for Applied Math jobs? Cities near Plano, TX with the most Applied Math job openings:
Applied Math jobs near you
Risk Statistician

Risk Statistician

GM Financial

Fort Worth, TX • Hybrid

Full-time

Retirement

Posted 16 days ago

GM Financial rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

74th of 142 rated vehicle equipment hire

Job description

Why Risk Statistician?

The Risk Statistician plays a role in supporting the portfolio forecasting team, and providing statistical support and expertise to projects originating from the Portfolio Forecasting group within Risk Management. This position focuses on assisting in the design and development of complex portfolio forecasting models, analysis of credit performance within the broader auto finance market, and developing and maintaining credit score based loss models. These models are used to support corporate planning, financing loan pricing operations, and the Allowance for Loan Losses. In addition, this position is responsible for completing ad-hoc statistical analyses of factors relating to originations and portfolio performance, under the guidance of a Senior Statistician or AVP.

About the role:

  • Assist in the design, development, and maintenance of sophisticated statistical forecasting models and analytical tools
  • Utilize data mining and advanced spreadsheet/technical skills to participate in complex forecasting, modeling, analysis, and reporting related to factors that affect portfolio performance
  • Employ best practices of data analysis and model validation to ensure data results are accurate
  • Promote innovative ways to visualize and digest complex data
  • Effectively summarize and communicate analysis results, expectations, statistical methodology and results to management
  • Assist in ad-hoc research projects incorporating project design, data collection and analysis
  • Monitoring and validating model performance and updating models as needed
  • Gathering and analyzing data to determine impact to business operations

Experience & Education: 

  • 0-2 years of experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, data presentation, and statistical analysis and modeling; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word preferred

  • 0-2 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred

  • Bachelor's Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience required
  • Master's Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field preferred

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. 

Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.  

Compensation: Competitive pay and bonus eligibility. 

Work Life Balance: Flexible hybrid work environment, 2 days a week in the office.

What makes you an ideal candidate?

  • Advanced knowledge of applied statistical methodologies
  • Knowledge of quantitative, analytical and data mining
  • Knowledge of SAS, Excel, Word and PowerPoint
  • Knowledge of spreadsheet modeling and credit risk techniques
  • Ability to coordinate and balance numerous tasks under pressure and meet deadlines
  • Ability to identify and understand business issues and map these issues into quantitative questions
  • Ability to identify emerging business issues and place them into quantitative questions
  • Ability to interact collaboratively with internal customers and external vendors
  • Process and model documentation skills
  • Advanced quantitative skills and ability to apply complex econometric principles

  • Advanced quantitative skills and ability to apply complex statistical principles

  • Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus

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