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Quantitative Risk Manager Jobs in Texas (NOW HIRING)

Quantitative Risk Analyst Contract Type: Permanent Time Type: Full time Quantitative Risk Analyst ... the Head of Risk and Senior Management. Aggregate data from various sources and maintain ...

... Risk and Senior Management. • Aggregate data from various sources and maintain disciplined data science practices. Profile • At least 3-10 years' experience in quantitative role in a trading ...

... management ... Developing and undertaking advanced Quantitative Risk Analysis including Cost, Schedule and ...

Prepare and present risk traceability, risk rationale, and quantitative risk analysis * Ensure risk ... Bachelor's degree (BS/BA) in Business Management, Economics, Math, Engineering, or Economics * 7-12 ...

Experience in quantitative/qualitative cost/schedule risk assessments within Construction Management, Civil Engineering, and Program and Project Management. * Experience in statistical assessments in ...

Program Risk Analyst

Dallas, TX · On-site +1

$85K - $100K/yr

Experience in quantitative/qualitative cost/schedule risk assessments within Construction Management, Civil Engineering, and Program and Project Management. * Experience in statistical assessments in ...

Develop risk statements, mitigation plans, and quantitative risk models * Support and participate ... Bachelor's degree (BS/BA) in Business Management, Economics, Math, Engineering, or Economics * 12 ...

The Risk Manager is responsible for managing the organization's corporate insurance program and ... Excellent analytical, quantitative, and problem-solving skills. * Strong project management and ...

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Quantitative Risk Manager information

See Texas salary details

$48K

$103.9K

$158.4K

How much do quantitative risk manager jobs pay per year?

As of Jun 8, 2026, the average yearly pay for quantitative risk manager in Texas is $103,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $120,200.00 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 Texas? The most popular types of Quantitative Risk jobs in Texas are:
What are popular job titles related to Quantitative Risk Manager jobs in Texas? For Quantitative Risk Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Texas look for? The top searched job categories for Quantitative Risk Manager jobs in Texas are:
What cities in Texas are hiring for Quantitative Risk Manager jobs? Cities in Texas with the most Quantitative Risk Manager job openings:
Infographic showing various Quantitative Risk Manager job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $103,932 per year, or $50 per hour.

Quantitative Risk Analyst

Gunvor

Houston, TX

Full-time

Posted 13 days ago


Job description

Job Title:

Quantitative Risk Analyst

Contract Type:

Permanent

Time Type:

Full time

Job Description:

Quantitative Risk Analyst, Gunvor USA

Company Profile:

Gunvor Group is one of the world's largest independent commodities trade houses by turnover, creating logistic solutions that safely and efficiently move physical commodities. Strategic investments in infrastructure further generates sustainable value across the global supply chain for its customers.

Gunvor has more than 1,400 employees, with its headquarters in Geneva. Gunvor also maintains offices in Singapore, Houston, Calgary, Moscow, Abuja, Beijing, Amsterdam, Nassau, Dubai and Tallinn, with new offices planned in strategically relevant markets.

To support its logistics operations, Gunvor wholly owns Clearlake Shipping, one of the largest charterers of tanker vessels in the world and an operator of drybulk vessels and cargoes. Since 2003, Clearlake has operated around a high-quality fleet of Tankers, Gas Carriers and drybulk vessels on a time-charter basis to accommodate Gunvor's growing needs for ocean transportation, in addition to the needs of third-party business.

Main Responsibilities

Develop and implement quantitative risk models and metrics for trading operations.
Take ownership of model(s) including accurate position assessment with understanding of contract maturity behavior and seasonality.
Streamline and improve processes such as data quality checks and automate operations.
Special assignments in risk assessment as needed for structured and bespoke transactions.
Assess high-risk concentrations/limit breeches and report findings to the Head of Risk and Senior Management.
Aggregate data from various sources and maintain disciplined data science practices.

Profile

At least 3-10 years' experience in quantitative role in a trading environment. Less experience can be acceptable for strong candidates with demonstrated application of quantitative theory and an advanced degree from a top tier University/Grande Ecole
University degree in a numerate discipline (STEM), graduate degree advantageous.
Comfortable in working with large datasets and databases (SQL knowledge)
Fluency in at least one programming language/software. Languages such as Visual Basic, Python, C+/C#, or R. Python preferred.
Programming experience or advanced knowledge of programming concepts.
Experience working in a team environment and socializing work.
Fast learner and detail oriented.
Experience with MS Office, and advanced user of Excel.
Finance and business acumen desired.
Advanced knowledge of derivatives/options, real options, financial mathematics, and statistics.
Proactive and self-motivated
Good verbal and written presentation skills

If you think the open position you see is right for you, we encourage you to apply!


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