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No Experience Quantitative Analyst Jobs (NOW HIRING)

Advisor Group

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

Equivalent combination of education and relevant experience will be considered Responsibilities ... analytics, business intelligence, data science, or a related quantitative field * Foundational ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Equivalent combination of education and relevant experience will be considered Responsibilities ... analytics, business intelligence, data science, or a related quantitative field * Foundational ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

Equivalent combination of education and relevant experience will be considered Responsibilities ... analytics, business intelligence, data science, or a related quantitative field * Foundational ...

Prodigy Consulting Group Inc.

Be Seen First

Quantitative Analyst

Glen Cove, NY · Remote

$1.0K - $1.5K/wk

Experience with financial analysis, data analytics or business intelligence * Comfortable working with large amounts of sales and financial data * Ability to turn numbers into clear recommendations ...

Citi

Quantitative Analyst - Rates XVA

New York, NY · Hybrid

$175K - $250K/yr

Hands-on experience with Python for quantitative research, model development, or analytical workflows. Knowledge of financial products, investment instruments, and quantitative methods as applied in ...

New

Rainbook

The Quantitative Analyst role will dive deep into portfolio analytics and Fund Analysis while also ... Experience working with portfolio analytics solutions Employment Type: FULL_TIME

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Equivalent combination of education and relevant experience will be considered Responsibilities ... analytics, business intelligence, data science, or a related quantitative field * Foundational ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Basic Requirements: 1-3 years of experience in analytics, business intelligence, data science, or a related quantitative field Foundational knowledge of data analysis concepts, statistics, and ...

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No Experience Quantitative Analyst information

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$56.5K

$133.9K

$240K

How much do no experience quantitative analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for no experience quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a no experience quantitative analyst?

A No Experience Quantitative Analyst job is an entry-level role for individuals with strong analytical and mathematical skills but little to no direct industry experience. These positions often involve analyzing financial data, building models, and assisting senior analysts in quantitative research. Employers typically seek candidates with backgrounds in mathematics, statistics, economics, or finance, along with proficiency in programming languages like Python, R, or SQL. Many firms provide training programs to help newcomers develop the necessary skills. This role is a great way to break into quantitative finance and gain hands-on experience in data-driven decision-making.

What are the typical entry-level responsibilities for a no experience quantitative analyst?

As a No Experience Quantitative Analyst, you can expect to focus on supporting more senior analysts by gathering and cleaning data, conducting basic statistical analyses, and preparing reports or presentations. You’ll often work closely with a team, collaborating with other analysts, data scientists, and sometimes subject matter experts to solve business questions or evaluate trends. This role offers ample opportunities to learn industry-specific methodologies and gradually take on more complex analytical tasks as you gain experience. It's a hands-on, team-oriented environment that encourages growth through mentorship and ongoing training.

What are the key skills and qualifications needed to thrive in the no experience quantitative analyst position, and why are they important?

To thrive as a No Experience Quantitative Analyst, a strong foundation in mathematics, statistics, and analytical reasoning is essential, often demonstrated through a relevant degree such as mathematics, finance, economics, or engineering. Familiarity with programming languages like Python or R, as well as tools like Excel and basic data visualization platforms, is highly beneficial for handling quantitative data. Strong attention to detail, eagerness to learn, and effective communication skills help new analysts navigate team collaboration and adapt quickly. These skills and qualities are important to ensure accurate analysis, seamless integration into teams, and steady professional development in a quantitative environment.

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No Experience Quantitative Analyst jobs near you
Infographic showing various No Experience Quantitative Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Analyst, Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview
Job Purpose
The Quantitative Analyst will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role for this position will be to provide model research, development, and strategic recommendations to solve practical problems in the financial industry. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions and defend assumptions. This role requires frequent interaction with Quant Research, Data Analytics, Risk Management, Technology Development and Senior Management.
Responsibilities
  • Design and develop quantitative model analytics frameworks to assess model usage and performance.
  • Create relevant test data sets, and portfolio strategies to be submitted to the model validators and regulators.
  • Investigate model behavior, carry out root cause analysis, and give model improvement suggestions.
  • Provide documentation of methods, techniques, results, and analysis.
  • Analyze large data sets, including positions, prices, and other market/liquidity data.
  • Research and design innovative quantitative solutions for stakeholders.
  • Develop and support in-house quantitative R&D platform and analytics tools to automate model testing, analysis, and visualization.

Knowledge and Experience
  • Master's Degree or above in math, quantitative finance, physics, statistics, computer science or similar quantitative fields.
  • Proficiency in Python, SQL, and object-oriented programming.
  • Advanced knowledge in math (stochastic process, probability theory, numerical methods).
  • Ability to work in a high-performance, high-velocity environment.
  • Strong analytical and organizational skills with acute attention to detail.
  • Strong communication skills in both verbal and written English.

Preferred
  • Strong knowledge of Python, SQL, and C++.
  • Strong knowledge in object-oriented programming.
  • Work experience in Options Pricing Theory.
  • Work experience in Data Analytics.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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