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Quantitative Risk Jobs in Texas (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 ...

Developing and undertaking advanced Quantitative Risk Analysis including Cost, Schedule and integrated Cost and Schedule analyses, to enable robust forecasting and tracking of risk exposure. * Assist ...

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams to maintain an integrated and comprehensive approach to financial risk management at DTCC to support ...

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Quantitative Risk information

See Texas salary details

$28.9K

$84.4K

$136K

How much do quantitative risk jobs pay per year?

As of Jun 20, 2026, the average yearly pay for quantitative risk in Texas is $84,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $110,900.00 per year, depending on experience, location, and employer.

What is an example of a quantitative risk?

A quantitative risk in a risk analyst role involves measuring potential financial losses using numerical data, such as calculating the probability and impact of market fluctuations on investment portfolios. This often requires skills in statistical analysis, modeling, and tools like Excel or specialized risk management software.

How much do risk quants get paid?

Risk quants typically earn between $100,000 and $200,000 annually, with senior professionals and those in major financial centers earning higher salaries. Compensation often includes bonuses and depends on experience, education, and technical skills such as programming and statistical analysis.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the size of the employer. Senior roles or those with advanced skills in programming and risk modeling can earn higher compensation, often exceeding $200,000 with bonuses and incentives.

How do Quantitative Risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

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 skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.

What jobs make $1,000,000 a year?

In the field of quantitative risk, high-level roles such as Chief Risk Officer or senior quantitative risk managers at large financial institutions can earn over $1 million annually through base salary, bonuses, and incentives. These positions typically require advanced degrees, extensive experience, and strong skills in risk modeling, data analysis, and financial regulations. Compensation at this level is often tied to company performance and individual contributions.
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 job categories do people searching Quantitative Risk jobs in Texas look for? The top searched job categories for Quantitative Risk jobs in Texas are:
What cities in Texas are hiring for Quantitative Risk jobs? Cities in Texas with the most Quantitative Risk job openings:

Quantitative Risk Analyst

Gunvor

Houston, TX • On-site

Full-time

Posted 24 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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