1

Associate Quantitative Risk Analyst Jobs in Houston, TX

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 ...

Associate in Risk Management (ARM) preferred Knowledge, Skills, Abilities and Behaviors ... Strong analytical skills, adept at queries, report writing and presenting findings * Communication ...

Associate in Risk Management (ARM) preferred Knowledge, Skills, Abilities and Behaviors ... Strong analytical skills, adept at queries, report writing and presenting findings * Communication ...

next page

Showing results 1-20

Associate Quantitative Risk Analyst information

See Houston, TX salary details

$14

$38

$62

How much do associate quantitative risk analyst jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for associate quantitative risk analyst in Houston, TX is $38.66, according to ZipRecruiter salary data. Most workers in this role earn between $28.46 and $47.07 per hour, depending on experience, location, and employer.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

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

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

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

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
What are popular job titles related to Associate Quantitative Risk Analyst jobs in Houston, TX? For Associate Quantitative Risk Analyst jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Associate Quantitative Risk Analyst jobs in Houston, TX look for? The top searched job categories for Associate Quantitative Risk Analyst jobs in Houston, TX are:
What cities near Houston, TX are hiring for Associate Quantitative Risk Analyst jobs? Cities near Houston, TX with the most Associate Quantitative Risk Analyst job openings:

Quantitative Risk Analyst

Gunvor

Houston, TX • On-site

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!


Our people make all the difference in our success.