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Junior Quant Jobs in Raleigh, NC (NOW HIRING)

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Would you enjoy training more junior team members? We are seeking a Senior Data Scientist II to ... Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Would you enjoy training more junior team members? We are seeking a Senior Data Scientist II to ... Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Would you enjoy training more junior team members? We are seeking a Senior Data Scientist II to ... Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

RELX Group plc

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Would you enjoy training more junior team members? We are seeking a Senior Data Scientist II to ... Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

UNC-Chapel Hill

Post-Doc Research Associate

Chapel Hill, NC · On-site +1

$54K - $65K/yr

... quantitative estimates for air quality and health risk assessments. The candidates will work on a ... junior staff / graduate students on related tasks. Extension beyond year 1 subject to funding ...

Aledade

Field Marketing Manager (Remote)

Durham, NC · Remote

... quantitative and qualitative KPIs. Use performance insights to refine campaigns and support the broader field marketing roadmap. Mentor junior staff and streamline event processes where needed.

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Junior Quant information

See Raleigh, NC salary details

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$24

$42

How much do junior quant jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for junior quant in Raleigh, NC is $24.03, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $29.57 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 Raleigh, NC? The most popular types of Quant jobs in Raleigh, NC are:
What are popular job titles related to Junior Quant jobs in Raleigh, NC? For Junior Quant jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Junior Quant jobs in Raleigh, NC look for? The top searched job categories for Junior Quant jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Junior Quant jobs? Cities near Raleigh, NC with the most Junior Quant job openings:
Junior Quant jobs near you
Infographic showing various Junior Quant job openings in Raleigh, NC as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $49,978 per year, or $24 per hour.
Senior Data Scientist II

Senior Data Scientist II

RELX

Raleigh, NC • Hybrid

$104K - $174K/yr

Full-time

Re-posted 3 days ago

Job description

About the Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role:

Are you looking to develop your Data Scientist career?

Would you enjoy training more junior team members?

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven product capabilities within the legal domain. This team is global AI platform team that builds AI products and ships AI features to production. The team works on cutting edge AI technology and extensively leverages latest AI tools/Features as part of product.

Responsibilities:

  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).

  • Define agentic workflows and reasoning strategies for multi-step legal tasks.

  • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).

  • Analyze large-scale legal datasets to extract insights and improve model performance.

  • Establish best practices for model evaluation, validation, and benchmarking.

  • Translate experimental results into clear product recommendations and business impact.

  • Collaborate with product, legal experts, and engineers to align solutions with user needs.

  • Mentor team members and provide technical leadership in data science and AI.

Requirements:

  • Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).

  • Strong experience in machine learning, NLP, and LLM-based modeling.

  • Strong experience designing and running experiments, including model evaluation and iteration.

  • Experience with generative AI techniques (e.g., prompt engineering, RAG).

  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.

  • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

  • Proficiency in Python and data analysis tools.

  • Strong foundation in statistics, modeling, and large-scale text processing.

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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