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Data Scientist Quantitative Analyst Jobs (NOW HIRING)

Quantitative Analyst

Jersey City, NJ · On-site

$75 - $85/hr

We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a ...

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Are you interested in operating as a senior scientific leader-owning truth, rigor, and decision quality for complex ...

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Are you interested in operating as a senior scientific leader-owning truth, rigor, and decision quality for complex ...

Strong experience in quantitative analysis, risk management, or data science. * Strong programming skills in Python (or similar language) and proficiency in SQL. * Solid background in statistical ...

At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, data science, artificial intelligence or machine learning * Proficiency with tools such as ...

Working at the intersection of data science, analytics, and business strategy, the Sr. Quantitative Analyst partners with data scientists and operational stakeholders to operationalize models ...

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Data Scientist Quantitative Analyst information

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$29.5K

$125.5K

$194.5K

How much do data scientist quantitative analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data scientist quantitative analyst in the United States is $125,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $154,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A Data Scientist or Quantitative Analyst can start at age 40, as success in the field depends on skills, experience, and continuous learning. Many professionals transition into data roles later in their careers by acquiring relevant technical skills such as programming, statistics, and data analysis tools like Python or R.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is a Data Scientist Quantitative Analyst job?

A Data Scientist Quantitative Analyst combines data science and quantitative analysis to extract insights from large datasets, build predictive models, and support data-driven decision-making. They use statistical methods, machine learning, and programming skills to analyze financial markets, business performance, or customer behavior. Typically, they work in finance, tech, or consulting industries to solve complex problems and optimize strategies.

What are the typical day-to-day responsibilities of a Data Scientist Quantitative Analyst?

On a daily basis, a Data Scientist Quantitative Analyst manages and analyzes large datasets, develops predictive models, and interprets quantitative results to provide actionable insights for their organization. This role often involves collaborating with product managers, engineers, and business stakeholders to define project goals, design analytical approaches, and present findings in a clear, impactful manner. You may also be expected to automate data processes, maintain documentation, and stay updated on the latest analytical and industry trends. The work is dynamic and requires a balance of independent research and team-based problem solving.

What are the key skills and qualifications needed to thrive in the Data Scientist Quantitative Analyst position, and why are they important?

To thrive as a Data Scientist Quantitative Analyst, you need a solid background in statistics, data analysis, machine learning, and programming (often in Python or R), typically supported by an advanced degree in a quantitative field. Experience with data visualization tools, statistical modeling platforms, and database systems, as well as familiarity with industry certifications such as CFA or related analytics credentials, are highly valued. Strong problem-solving, critical thinking, and effective communication skills help professionals present complex findings and work collaboratively across departments. These abilities are crucial for transforming data into actionable business insights and supporting strategic decision-making.

Is AI replacing data analysts?

AI is automating certain tasks performed by data analysts, such as data cleaning and basic analysis, but it does not fully replace the role. Data scientists and quantitative analysts still require skills in interpreting complex data, developing models, and making strategic decisions, which involve critical thinking and domain expertise that AI tools currently cannot replicate fully.

Is a data scientist a quantitative analyst?

A data scientist and a quantitative analyst are related roles but have different focuses. Data scientists analyze large datasets using statistical and machine learning techniques to extract insights, while quantitative analysts primarily develop mathematical models for financial markets. Both roles require strong analytical skills and proficiency in programming languages like Python or R.
More about Data Scientist Quantitative Analyst jobs
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Infographic showing various Data Scientist Quantitative Analyst job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 20% Full Time, 76% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $125,500 per year, or $60.3 per hour.
Data Scientist/ Quantitative Analytics

Data Scientist/ Quantitative Analytics

Pyramid Consulting, Inc.

Mclean, VA

$80 - $90/hr

Other

Medical, Dental, Vision, Retirement

Posted 13 days ago


Job description

Immediate need for a talented Data Scientist / Quantitative Analytics . This is a 03-06+ Months Contract to hire opportunity with long-term potential and is located in Mclean, VA (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job Diva ID: 26-16986
Pay Range: $80 - $90 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Requirements and Technology Experience:

  • Must have skills: - Quantitative, Data Analytics, Developing models, Python
  • Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.
  • 5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
  • Post-graduate work experience in mortgage valuation and statistical modeling
  • Programming skills in one or more of Python, R, SAS or related languages
  • Exceptional quantitative, empirical analysis, and research skills
  • Experience working with large data sets and relational database
  • Experience in statistical model development and implementation is preferred

Our client is a leading Financial industry , and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
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