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Temporary Quantitative Modeling Jobs in Dallas, TX

... partnering with quantitative analysts and subject matter experts > Support model tuning and ... Please note that the location listed for this role is temporary. The position's work location will ...

New

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 ...

Build and update financial models to evaluate investments and track portfolio performance * Prepare ... Quantitative background and analytical problem-solving ability * Strong, precise written and verbal ...

New

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 28, 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 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 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 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:

Model Risk Control Specialist

Dallas, TX • On-site


Morgan Stanley
Finance and Insurance • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

37th of 152 rated financial services

People enjoy working here

Good employer

Recommended by students


$70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

We're seeking someone to join our team as a Model Risk Control Specialist in Non-Financial Risk to strengthen the governance, monitoring, and documentation of Financial Crime Compliance models, partnering with model owners and stakeholders to enhance model performance and meet internal policy and regulatory expectations.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is a Director level position within the NFR Data & Analytics team, which is responsible for designing and optimizing surveillance models, approaches, and tools using advanced analytical techniques, and ensuring these models support the detection of suspicious and/or illegal behaviors (e.g., money laundering, market manipulation, insider trading, unfair sales or trading practices, sanctions-related risks, and other financial crimes).

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do:
> Draft and maintain comprehensive model documentation across the model lifecycle for Financial Crime Compliance models
> Establish and execute ongoing model monitoring controls, partnering with quantitative analysts and subject matter experts
> Support model tuning and optimization for Trade Surveillance, Transaction Monitoring, and Sanctions screening models, including ML/AI-enabled approaches where applicable
> Oversee and challenge model testing performed by developers and vendors, including design of challenger models or compensating controls as needed
> Perform and/or manage periodic assessments and above-/below-the-line testing to evaluate model performance and sustainability
> Conduct research on emerging modeling approaches and regulatory expectations, performing gap analyses and recommending enhancements to existing controls
> Lead root-cause analysis for model performance anomalies and drive remediation planning with stakeholders
> Manage model governance processes, including model inventory updates, change tracking, and reporting to senior management, Model Risk Management, and Internal Audit D. Part 2: Scope of Role -

What you'll bring:
> Ability to build and maintain clear, audit-ready model documentation across the model lifecycle
> Understanding of Financial Crime Compliance concepts and model use cases (e.g., AML/transaction monitoring, sanctions screening, trade surveillance)
> Experience in ongoing model monitoring, performance analysis, and issue investigation (including root-cause analysis)
> Experience partnering with quantitative/analytics teams to support testing, tuning, and optimization of models (including vendor-developed solutions)
> Knowledge of model risk governance expectations and standards (e.g., SR 11-7 / OCC 2011-12) and experience supporting validation and exam requests
> Ability to translate complex technical concepts into clear materials for non-technical stakeholders and senior management
> Experience in producing metrics, management reporting, and tracking model changes through governance forums
> Proficiency in data and analytical tools (e.g., SQL, Python, Excel); familiarity with visualization tools (e.g., Power BI, Tableau) is a plus
Typically, 5+ years' relevant experience would generally be expected to find the skills required for this role

Dallas Location:

Please note that the location listed for this role is temporary. The position's work location will transition to 1445 Ross Ave, Dallas, TX 75202 at a future date. In-Person interviews will be required for the role.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Baltimore, MD:

Salary range for the position: $70,000 and $125,000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.

Dallas, TX:

Expected base pay rates for the role will be between $77,000 and $116,750 per year at the commencement of employment. However, base pay if hired will be determined on an individualized
basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


Morgan Stanley logo

About Morgan Stanley

Sourced by ZipRecruiter

Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US


What Morgan Stanley employees say

Pay

Benefits

Hours and flexibility

Workplace

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