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Quantitative Risk Python Jobs (NOW HIRING)

Gunvor

Quantitative Risk Analyst

Houston, TX

Quantitative Risk Analyst Contract Type: Permanent Time Type: Full time Quantitative Risk Analyst ... Python preferred. Programming experience or advanced knowledge of programming concepts. Experience ...

Gunvor

Quantitative Risk Analyst

Houston, TX · On-site

Quantitative Risk Analyst Contract Type: Permanent Time Type: Full time Quantitative Risk Analyst ... Python preferred. • Programming experience or advanced knowledge of programming concepts. • ...

Quanta Search

Quantitative Risk Analyst

Manhattan, NY

Quantitative Risk Analysts perform research to identify opportunities for improved risk management ... High level of proficiency in SQL and quantitative programming (Python, MATLAB, R) * The ability to ...

Quanta Search

Quantitative Risk Analyst

Manhattan, NY · On-site

Quantitative Risk Analysts perform research to identify opportunities for improved risk management ... High level of proficiency in SQL and quantitative programming (Python, MATLAB, R) * The ability to ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

Key Responsibilities: * Assist the Quantitative Risk Manager in constructing a Credit Decision ... Two (2) plus years in coding with Python, PySpark or other equivalent language within the past Five ...

Wsfsbank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

Key Responsibilities: * Assist the Quantitative Risk Manager in constructing a Credit Decision ... Two (2) plus years in coding with Python, PySpark or other equivalent language within the past Five ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

Key Responsibilities: * Assist the Quantitative Risk Manager in constructing a Credit Decision ... Two (2) plus years in coding with Python, PySpark or other equivalent language within the past Five ...

Ryan Specialty

Quantitative Risk Modeling Lead

Position Summary As a Quantitative Risk Modeling Led in the Ryan Credit Solutions department at ... Strong technical proficiency in Excel; programming/statistical tools (SQL, R, Python, SAS, etc.) a ...

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$98K

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How much do quantitative risk python jobs pay per year?

As of Jun 6, 2026, the average yearly pay for quantitative risk python in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

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

AspectQuantitative Risk PythonQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or related field; Python programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentFinancial institutions, risk management teams, data analysis rolesInvestment firms, banks, asset management companies
Common UsageDeveloping risk models, automating risk calculations, data analysisMarket analysis, portfolio management, financial modeling

While both roles require strong quantitative skills and finance knowledge, Quantitative Risk Python focuses on developing and implementing risk models using Python, whereas a Quantitative Analyst typically performs broader financial analysis and modeling across various platforms.

What cities are hiring for Quantitative Risk Python jobs? Cities with the most Quantitative Risk Python job openings:
Infographic showing various Quantitative Risk Python job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quantitative Risk Analyst

Gunvor

Houston, TX

Full-time

Posted 10 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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