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Quantitative Risk Analyst Jobs in Houston, TX (NOW HIRING)

Job Title: Quantitative Risk Analyst Contract Type: Permanent Time Type: Full time Quantitative Risk Analyst, Gunvor USA Company Profile: Gunvor Group is one of the world's largest independent ...

Job Title: Quantitative Risk Analyst Contract Type: Permanent Time Type: Full time Quantitative Risk Analyst, Gunvor USA Company Profile: Gunvor Group is one of the world's largest independent ...

This role involves direct support and expert guidance in risk assessment, risk mitigation planning, and the application of quantitative risk analysis techniques. The analyst will contribute to ...

The analyst will contribute technical insight to high-level program decision-making, conduct in ... Develop risk statements, mitigation plans, and quantitative risk models * Support and participate ...

Collaborate with quantitative analysts to refine model assumptions, validate model outputs, and ensure accuracy in risk measurement. * Apply advanced statistical techniques and machine learning ...

We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk ...

Conduct quantitative cost and schedule risk analysis (QCRA/QSRA) using probabilistic and simulation based methods to evaluate forecast uncertainty and outcome distributions. * Analyze economic ...

Conduct quantitative cost and schedule risk analysis (QCRA/QSRA) using probabilistic and simulation based methods to evaluate forecast uncertainty and outcome distributions. * Analyze economic ...

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Quantitative Risk Analyst information

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$54K

$127.8K

$229.2K

How much do quantitative risk analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for quantitative risk analyst in Houston, TX is $127,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $138,900.00 per year, depending on experience, location, and employer.

What are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

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

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Houston, TX? The most popular types of Quantitative Risk Analyst jobs in Houston, TX are:
What are popular job titles related to Quantitative Risk Analyst jobs in Houston, TX? For Quantitative Risk Analyst jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Houston, TX look for? The top searched job categories for Quantitative Risk Analyst jobs in Houston, TX are:
What cities near Houston, TX are hiring for Quantitative Risk Analyst jobs? Cities near Houston, TX with the most Quantitative Risk Analyst job openings:
Infographic showing various Quantitative Risk Analyst job openings in Houston, TX as of June 2026, with employment types broken down into 4% As Needed, 81% Full Time, 7% Part Time, 3% Temporary, 4% Contract, and 1% Nights. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $127,849 per year, or $61.5 per hour.

Quantitative Risk Analyst

Gunvor

Houston, TX

Full-time

Posted 18 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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