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Quantitative Risk Manager Jobs in Dallas, TX (NOW HIRING)

Cybersecurity Risk Manager

Dallas, TX · On-site +1

$70K - $140K/yr

Manage the governance of issues through their lifecycle, from ideation to validation and subsequent ... with quantitative/qualitative risk assessments * Excellent communication skills required to ...

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Fraud Risk Analytics Manager

Irving, TX · Hybrid

$105K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Exposure in working with risk management personnel would be an asset. • Strong ability to assess design, assumptions, data integrity, and governance of complex quantitative processes in line with ...

Risk Management Analyst

Dallas, TX · On-site

$70K - $85K/yr

Position Summary The Risk Management Analyst is responsible for identifying, assessing, and ... Strong analytical and quantitative skills * Proficiency in Microsoft Excel and data analysis tools

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Showing results 1-20

Quantitative Risk Manager information

See Dallas, TX salary details

$50.9K

$110.4K

$168.2K

How much do quantitative risk manager jobs pay per year?

As of Jun 10, 2026, the average yearly pay for quantitative risk manager in Dallas, TX is $110,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $127,600.00 per year, depending on experience, location, and employer.

How does a Quantitative Risk Manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is a Quantitative Risk Manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

What is the difference between Quantitative Risk Manager vs Quantitative Analyst?

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What are the most commonly searched types of Quantitative Risk jobs in Dallas, TX? The most popular types of Quantitative Risk jobs in Dallas, TX are:
What are popular job titles related to Quantitative Risk Manager jobs in Dallas, TX? For Quantitative Risk Manager jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Dallas, TX look for? The top searched job categories for Quantitative Risk Manager jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Quantitative Risk Manager jobs? Cities near Dallas, TX with the most Quantitative Risk Manager job openings:
Infographic showing various Quantitative Risk Manager job openings in Dallas, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $110,355 per year, or $53.1 per hour.
Model Risk Management, AI Risk, Dallas, Associate

Model Risk Management, AI Risk, Dallas, Associate

Goldman Sachs, Inc.

Dallas, TX • On-site

Full-time

Posted 16 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

Job Description
DEPARTMENT OVERVIEW
The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, Bangalore, and Hyderabad. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Model Control Policy and related requirements, including documentation to evidence effective challenge over the Model development, implementation and usage of Models.
The group's primary mandate is to manage risk that arises from models used in the firm through its range of businesses- from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital. As AI adoption increases across the firm, the MRM group plays a critical role in ensuring that innovative AI capabilities are deployed safely.
JOB RESPONSIBILITIES
  • Play a central role in shaping firmwide AI risk management oversight and governance through:
    • Management of the AI oversight committee including agenda-setting, materials, and executive-level decision support
    • Managing the AI risk assessment and approval activities across control functions, working closely with the business and engineers to guide them through the approval process
    • Owning the firmwide view of AI usage, enabling senior leadership to understand risk posture, trends, and emerging concentrations including through management of the firmwide AI inventory, and tracking and reporting on committee activities, approvals, and follow-ups
  • Design, maintain, and evolve the firmwide AI governance framework, liaising with other business units such as Legal, Compliance, and Engineering to translate regulatory expectations and emerging industry standards into practical, scalable controls
  • Liaise with technology teams to design scalable infrastructure for AI inventory management and AI risk assessment and approval workflows
  • Manage and coordinate engagement with regulators, helping shape external understanding of the firm's risk management approach

QUALIFICATIONS
  • 3 plus years of experience, preferably in Financial Services and with working knowledge of AI
  • Excellent project management and communication skills, with ability to work and communicate effectively with a wide variety of technical and non-technical stakeholders across various seniority levels
  • Excellent analytical, quantitative, interpersonal and organizational skills. Team oriented and able to pick up technical concepts quickly
  • Comfort operating in areas of evolving regulation and limited precedent, with the ability to exercise sound judgment
  • Programming skills preferred (e.g., Python)

ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869