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Quantitative Risk Analyst Intern 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 ...

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 be responsible for supporting the bank-wide Model Risk Management (MRM) program ... A minimum of one year of experience in model development, model validation, quantitative risk ...

The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ... A minimum of one year of experience in model development, model validation, quantitative risk ...

The Analyst will be responsible for supporting the bank-wide Model Risk Management (MRM) program ... A minimum of one year of experience in model development, model validation, quantitative risk ...

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 ...

Develop quantitative integrated cost and schedule Program risk models using risk software and analyze results. * Prepare program risk communications (memos), risk dashboards, Risk Assessment reports ...

Program Risk Analyst

Dallas, TX ยท On-site +1

$85K - $100K/yr

Develop quantitative integrated cost and schedule Program risk models using risk software and analyze results. * Prepare program risk communications (memos), risk dashboards, Risk Assessment reports ...

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

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Quantitative Risk Analyst Intern information

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

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What does a Quantitative Risk Analyst Intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

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

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What types of projects and responsibilities can a Quantitative Risk Analyst Intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Texas? The most popular types of Quantitative Risk Analyst jobs in Texas are:
What job categories do people searching Quantitative Risk Analyst Intern jobs in Texas look for? The top searched job categories for Quantitative Risk Analyst Intern jobs in Texas are:
What cities in Texas are hiring for Quantitative Risk Analyst Intern jobs? Cities in Texas with the most Quantitative Risk Analyst Intern job openings:
Infographic showing various Quantitative Risk Analyst Intern job openings in Texas as of June 2026, with employment types broken down into 3% Locum Tenens, 13% Internship, 64% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.

Quantitative Risk Analyst

Gunvor

Houston, TX โ€ข On-site

Full-time

Posted 15 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

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