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Quantitative Science Jobs (NOW HIRING)

$100K - $130K/yr

Quantitative Research Engineer Full Time Baltimore, MD, US 7 days ago Requisition ID: 1080 Salary ... As a member of the Research department, the RE is involved in idea generation and scientific ...

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Quantitative Research Engineer Full Time Baltimore, MD, US Salary Range: $100,000.00 To $130,000.00 ... As a member of the Research department, the RE is involved in idea generation and scientific ...

As a member of the Research department, the RE is involved in idea generation and scientific ... Bachelor's degree in Computer Science or quantitative/science field (Physics, Math, Engineering ...

Required : • PhD or equivalent experience in ML, computer science, or a quantitative science. • Deep familiarity with large models and a passion for understanding how they work. • Fluency in ...

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How much do quantitative science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for quantitative science in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a quantitative science?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are some typical projects or tasks a quantitative science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What are the key skills and qualifications needed to thrive in the quantitative science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

What does a quantitative science do?

A professional in quantitative science analyzes numerical data to solve complex problems, often using statistical, mathematical, and computational methods. They work in fields like finance, research, or technology, utilizing tools such as programming languages and data analysis software to develop models and inform decision-making.
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Infographic showing various Quantitative Science job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Model Development Officer I- Fraud

Charlotte, NC • On-site

Truist
Finance and Insurance • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Key responsibilities

  • Lead model development and documentation efforts related to fraud and identity verification risk models.

  • Manage all or part of the development life cycle of quantitative models, including data acquisition, model development, documentation, and implementation support.

  • Develop, maintain, and supervise monitoring, performance reporting, and change-management processes for models.


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 124 frontline employees who took The Breakroom Quiz


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Lead model development and documentation efforts specific to fraud and identity verification risk models. Responsible for all or part of the development life cycle of assigned quantitative models related to the company's management and mitigation of fraud risk; both internally developed and vended. Ensures that risks of assigned models are properly identified and managed. Partners across the firm including Risk Functions and lines of businesses to evaluate and improve assigned models continually. This position also leads periodic model review and validation finding mitigation following deployment.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Conduct/own most aspects of the model development life cycle. The model development life cycle includes data acquisition, assessing data integrity, model development, documentation, implementation assistance and assisting with closing assurance provider issue related to the model.
2. Develop, maintain and supervise monitoring, performance reporting, and change-management processes. Work with stakeholders to ensure models fulfill the business objectives set for them.
3. Ensure model development projects and processes comply with Truist requirements for model risk management and other policy requirements.
4. Assist with mentoring and training to accelerate model development in areas of techniques, process and business knowledge.
5. Advocate towards user understanding and acceptance of models and associate analytics, including written and verbal presentations to model users, stakeholders, managers and oversight groups.
6. Serve as core point of contact to address model questions within the firm as needed, including assurance providers (e.g., Corporate Model Risk Management, Corporate Audit, and regulators). Support regulatory examinations and address respective requests.
7. Assist with identifying, recruiting, and maintaining, quantitative talent.
8. May supervise a small staff performing model development life cycle duties.
QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Ten years of relevant experience in best practices, or equivalent financial industry experience developing, documenting, implementing, or validating quantitative models with concentration in a particular financial domain
2. Seven+ years of model development experience using SAS or other applicable model development software/programming tools
3. Strong English communication skills, both written and verbal
4. Ability to distill complex mathematical concepts into actionable results
5. Strong work ethic; promote and conduct continued development of personal and associate knowledge base and technical skills
6. Organization skills: Ability to communicate and manage competing organizational priorities effectively
7. Problem solving skills: Strong problem solving skills
8. Education: Advanced degree or equivalent experience in Statistics, Econometrics, Operations Research, Actuarial Science, Applied Mathematics, or other applied quantitative science, or equivalent education and related training
Preferred Qualifications:
1. Master's degree/PhD
2. Experience using Python for model development
3. Experience in fraud and/or identity verification model development
4. Experience in model risk management
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019