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Entry Level Quantitative Analyst Jobs in Pennington, NJ

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Entry Level Quantitative Analyst information

See Pennington, NJ salary details

$57K

$135.1K

$242.2K

How much do entry level quantitative analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entry level quantitative analyst in Pennington, NJ is $135,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $146,900.00 per year, depending on experience, location, and employer.

What is an entry level quantitative analyst?

An Entry Level Quantitative Analyst uses mathematical models, statistical techniques, and data analysis to support financial decision-making. They typically work in finance, investment, or risk management, analyzing market trends, evaluating trading strategies, or assessing risk. This role requires strong analytical skills, programming proficiency (often in Python, R, or SQL), and knowledge of financial concepts. It serves as a foundation for more advanced quantitative roles, providing hands-on experience with real-world data and financial models.

What does an entry level quantitative analyst do?

A typical day as an Entry Level Quantitative Analyst involves analyzing large data sets, building statistical models, and generating reports to support business or investment decisions. You may collaborate closely with other analysts, data scientists, or portfolio managers to interpret data and brainstorm solutions to complex problems. Daily tasks often include coding, data cleaning, and presenting findings to non-technical colleagues. Over time, you’ll gain exposure to more sophisticated projects and can take on greater responsibilities as your experience grows. This diverse workload helps develop both technical expertise and industry knowledge for future career advancement.

What are the key skills and qualifications needed to thrive as an entry level quantitative analyst?

To thrive as an Entry Level Quantitative Analyst, you need strong analytical and mathematical skills, proficiency in statistical modeling, and a degree in a quantitative field such as mathematics, statistics, finance, or computer science. Familiarity with programming languages like Python, R, or SQL and experience using data analysis tools such as Excel, MATLAB, or statistical software are often expected. Excellent problem-solving abilities, communication skills, and attention to detail will help you stand out in this position. These competencies enable you to interpret complex data, deliver actionable insights, and collaborate effectively within fast-paced, data-driven teams.

What cities near Pennington, NJ are hiring for Entry Level Quantitative Analyst jobs?

Cities near Pennington, NJ with the most Entry Level Quantitative Analyst job openings:

Entry Level Quantitative Analyst jobs near you
Infographic showing various Entry Level Quantitative Analyst job openings in Pennington, NJ as of August 2026, with employment types broken down into 76% Full Time, 16% Part Time, and 8% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $135,125 per year, or $65 per hour.

Entry Level Business Analyst

Data Cloud Merge

Philadelphia, PA • On-site

Full-time

Re-posted 13 days ago

Job description

Company Description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description
  • Work with the analytics team to develop an activity-based costing model for providing trends, forecasts, and cost-reducing actions.
  • Process flowcharts included requests for new processes or changes to existing processes and further creating and maintaining comprehensive project documentation.
  • Create and maintain reports/dashboards/data/metrics used to measure and ensure success.
  • Assist and produce standard reports, charts, graphs, and tables from a structured data source by querying data repositories using Python and SQL.
  • Validate Data to check for the proper conversion of the data. Data cleansing to identify unnecessary data and clean, data profiling for accuracy and consistency.
Qualifications
  • Masters or Bachelors in Information Systems, Engineering Management, Analytics, Computer Science, or related.
  • Proficient in managing the entire project life cycle including Data Acquisition, Data Preparation, Data Manipulation, Statistical Modelling, Testing and Validation, Visualization, and Reporting.
  • Solid understanding of statistical analysis, predictive analytics, machine learning, data mining, quantitative analytics, and optimization algorithms.
  • Advanced working SQL knowledge and experience working with relational databases and Python.
Additional Information

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