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Junior Quant Jobs in Spring, TX (NOW HIRING)

Optimus

Natural Gas Trader, Northeast

Houston, TX · On-site

Build strong relationships with suppliers, customers, and pipeline partners while mentoring junior ... Strong understanding of physical natural gas markets, derivatives, quantitative risk metrics ...

ExxonMobil

Sr. Financial Natural Gas Trader

Spring, TX · On-site

$78K - $98K/yr

Senior mindset: able to operate independently, mentor junior talent, and contribute to the strategic direction of the book. * Bachelor's degree required; advanced degrees in a quantitative energy ...

ExxonMobil

Sr. Financial Natural Gas Trader

Spring, TX · On-site

Senior mindset: able to operate independently, mentor junior talent, and contribute to the strategic direction of the book. * Bachelor's degree required; advanced degrees in a quantitative energy ...

ExxonMobil

Sr. Financial Natural Gas Trader

Spring, TX · On-site

Senior mindset: able to operate independently, mentor junior talent, and contribute to the strategic direction of the book. * Bachelor's degree required; advanced degrees in a quantitative energy ...

WSP

Senior Risk Manager

Houston, TX · On-site

Develop and maintain quantitative economic risk models to evaluate the probability and impact of ... Provide training to junior risk managers and other staff as required. * Strong attention to detail ...

WSP

Senior Risk Manager

Houston, TX · On-site

Develop and maintain quantitative economic risk models to evaluate the probability and impact of ... Provide training to junior risk managers and other staff as required. * Strong attention to detail ...

Deloitte

Technology Strategy Manager

Houston, TX

... junior team members * 3+ years of experience developing executive-level presentations, business cases, and strategic recommendations * Experience using qualitative and quantitative analysis to ...

Aon

Executive Compensation Consultant

Houston, TX · On-site

$100K - $180K/yr

Provide regular guidance and developmental feedback to junior staff * Develop summary reports ... Strong quantitative background and skill set * Highly proficient in MS Excel and PowerPoint

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Junior Quant information

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How much do junior quant jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for junior quant in Spring, TX is $23.99, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $29.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Quant, and why are they important?

To thrive as a Junior Quant, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and typically a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Familiarity with financial modeling tools, statistical analysis software, and version control systems like Git is often required. Outstanding analytical thinking, attention to detail, and the ability to work collaboratively in high-pressure environments are crucial soft skills. These skills and qualities enable Junior Quants to deliver accurate models and insights that drive successful trading and risk management decisions.

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

Junior Quant roles typically do not reach $1,000,000 annually; such high earnings are usually associated with senior positions, hedge fund managers, or successful traders in finance. These roles often require extensive experience, advanced quantitative skills, and sometimes ownership stakes or performance-based bonuses. Most professionals aiming for this level of income focus on developing expertise in quantitative analysis, programming, and financial markets.

What jobs pay $500,000 a year in the US?

In the US, high-paying roles such as senior hedge fund managers, investment bankers, and certain senior executives can earn $500,000 or more annually. Junior Quant roles typically do not reach this level, but experienced quantitative analysts with advanced skills in programming, statistics, and finance may approach high six-figure salaries with bonuses and profit sharing.

What are Junior Quants?

Junior Quants, short for Junior Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and programming skills to analyze financial data and develop models for tasks such as pricing, risk management, and trading strategies. They typically work in investment banks, hedge funds, or financial technology firms under the guidance of senior quantitative analysts. Their responsibilities may include data analysis, coding algorithms, backtesting trading strategies, and supporting senior team members in research and decision-making. Junior Quants often hold degrees in fields like mathematics, physics, engineering, or computer science and may be familiar with programming languages such as Python, R, or C++.

Does JP Morgan hire quants?

Yes, JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and may involve using tools like Python, R, or MATLAB. The firm regularly recruits for junior and senior quant roles across its global offices.

How much does a junior quant make?

A junior quant typically earns between $70,000 and $120,000 annually, depending on the location, firm size, and individual skills. Entry-level roles often require proficiency in programming languages like Python or C++ and a strong background in mathematics or finance.

What is the difference between Junior Quant vs Quant Analyst?

AspectJunior QuantQuant Analyst
Required CredentialsBachelor's degree in Math, Finance, or related field; some internshipsBachelor's or Master's degree; often requires some experience
Work EnvironmentEntry-level, supportive team, learning-focusedMore independent, analytical, and project-driven
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, investment banks, hedge funds

Junior Quants are typically entry-level roles requiring foundational skills and limited experience, focusing on learning and supporting senior staff. Quant Analysts usually have more experience, handling complex models and analysis independently. Both roles are common in finance and investment sectors, but Quant Analysts have greater responsibilities and expertise.

What are some common challenges faced by Junior Quants when transitioning from academic work to industry roles?

Junior Quants often find that moving from academic environments to industry roles presents challenges such as adapting to fast-paced deadlines, learning to work within multidisciplinary teams, and applying theoretical models to real-world, often noisy, data. In industry, there's a strong emphasis on producing actionable results and collaborating closely with traders, developers, and other stakeholders. Developing strong communication skills and becoming proficient with industry-standard tools and programming languages are key to overcoming these challenges and excelling in the role.
What are the most commonly searched types of Quant jobs in Spring, TX? The most popular types of Quant jobs in Spring, TX are:
What are popular job titles related to Junior Quant jobs in Spring, TX? For Junior Quant jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Junior Quant jobs in Spring, TX look for? The top searched job categories for Junior Quant jobs in Spring, TX are:
What cities near Spring, TX are hiring for Junior Quant jobs? Cities near Spring, TX with the most Junior Quant job openings:
Junior Quant jobs near you
Junior Data Scientist

Junior Data Scientist

Berkley Oil & Gas (a Berkley Company)

Houston, TX • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
Berkley Oil & Gas, a W. R. Berkley Company, is an insurance underwriting manager offering specialized property and casualty products and risk services to customers in the energy sector. The Junior Data Scientist will design and deliver analytical solutions that support underwriting and pricing, while collaborating with business stakeholders to ensure solutions are aligned with business goals.
Responsibilities:
• The Data Scientist designs, builds, and delivers analytical solutions that support underwriting, pricing, and operational decision-making.
• Partner with business stakeholders to define analytical needs and prototype solutions
• Evaluate the business value of internal and third-party data sources using standardized assessment criteria.
• Build foundational understanding of relevant insurance and energy domain concepts.
• Conduct Exploratory Data Analysis to assess data quality, structure, coverage, and predictive potential.
• Build and refine data pipelines using SQL and Python.
• Develop entity-matching methods, including geospatial and temporal techniques.
• Engineer and maintain features that support analytical and predictive modeling.
• Build and evaluate predictive models, comparing performance against benchmarks.
• Quantify expected business value, costs, and ROI for proposed solutions.
• Design repeatable workflows for modeling, experimentation, and evaluation.
• Collaborate with engineering teams to integrate analytical models into production systems.
• Implement monitoring to ensure data and model quality over time.
• Identify opportunities for iteration and performance improvement based on results and business feedback.
• Work with cross-functional teams to clarify requirements and acceptance criteria.
• Prepare analytical datasets, dashboards, and reports that support decision-making.
• Communicate insights clearly to technical and non-technical stakeholders.
• Conduct quality assurance checks on datasets, metrics, and models.
• Maintain documentation for data sources, features, models, and workflows.
• Automate repetitive or manual tasks using scripting and AI tooling.
Qualifications:
Required:
• 2–5 years of experience in data science or a related analytical field, including exposure to model deployment and monitoring.
• Strong sense of ownership, urgency, and self-motivation;
• Excellent written and verbal communication skills; able to convey complex concepts clearly.
• Effective collaborator with experience in cross-functional, team-oriented environments.
• Prior quantitative research experience through academic work, personal projects, or previous roles.
• Proficiency in Python (pandas, NumPy, scikit ‑ learn ) and SQL; solid understanding of databases and data modeling.
• Experience conducting exploratory data analysis, including profiling, handling missing data, and outlier detection.
• Feature engineering experience, including geospatial, temporal, and derived features.
• Familiarity with version control (e.g., GitHub) and cloud analytics platforms (e.g., Databricks).
• Understanding of Agile or SDLC practices.
• Master’s degree in data science, analytics, statistics, computer science, engineering, or related field.
Preferred:
• Familiarity with Oil & Gas or Property & Casualty insurance concepts is a plus
Company:
Berkley Oil & Gas, a Berkley Company, is an energy insurance provider that is committed to providing innovative insurance products and services to upstream oil and gas customers. Founded in 1967, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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