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Entry Level Quantitative Data Analyst Jobs (NOW HIRING)

Lazard, Inc.

Quantitative Data Analyst

Boston, MA · On-site

$90K - $150K/yr

The Advantage Quantitative Equity team is hiring a Quantitative Data Analyst to take ownership of the quality, reliability, and usability of the quantitative datasets that power our research and ...

Lazard, Inc.

Quantitative Data Analyst

Boston, MA

$90K - $150K/yr

The Advantage Quantitative Equity team is hiring a Quantitative Data Analyst to take ownership of the quality, reliability, and usability of the quantitative datasets that power our research and ...

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... Manage all aspects of the research process, including idea generation, data analysis, hypothesis ...

Point72

Cubist Quantitative Researcher

Seattle, WA

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... Manage all aspects of the research process, including idea generation, data analysis, hypothesis ...

Kpler

Quantitative Data Scientist

New York, NY · On-site

$70K - $100K/yr

The Quantitative Data Scientist will serve as a critical bridge between research and technology ... Create analytical frameworks and tooling to process large datasets and generate statistical ...

Kpler

Quantitative Data Scientist

New York, NY

$70K - $100K/yr

The Quantitative Data Scientist will serve as a critical bridge between research and technology ... Create analytical frameworks and tooling to process large datasets and generate statistical ...

Glow Networks

Data Analyst

Mountain View, CA · On-site

Bachelor's degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields; Master's preferred. * 6-9 years of work experience involving quantitative data analysis.

Kanak Elite Services Inc

Data Analyst

Washington, DC · On-site

Client requires the services of a full-time Data Analyst to analyze qualitative and quantitative data to help support the agency's Continuum of Care project. The primary goal of the initiative is to ...

The Scotts Company LLC

Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

Data Storytelling & Strategy: Translate complex quantitative findings into clear, strategic ... Manage multiple analytical projects simultaneously, partnering with qualitative analysts and ...

Trenton Health Team Inc

Data Analyst

Trenton, NJ · On-site

$65K - $71K/yr

Quantitative Analysis: Deliver analytics products and detect trends to inform planning and future programming. * Data Storytelling Design and track key metrics and visualizations using tools like ...

Trenton Health Team Inc

Data Analyst

Trenton, NJ · On-site

$65K - $71K/yr

Quantitative Analysis: Deliver analytics products and detect trends to inform planning and future programming. * Data Storytelling Design and track key metrics and visualizations using tools like ...

Clarity Innovations

Senior Data Analyst

Hurlburt Field, FL

$78K - $99K/yr

Role The Senior Data Analyst in this role will be at the core of support for AFSOC data initiatives ... quantitative data that support SOCOM and AFSOC products. Requirements * Minimum of 1-year ...

University of Dayton

Marketing Data Analyst

Dayton, OH · On-site

The Marketing Data Analyst uses quantitative data and research to determine the impact of marketing initiatives. The Marketing Data Analyst will assist the University Marketing and Communications ...

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Entry Level Quantitative Data Analyst information

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How much do entry level quantitative data analyst jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for entry level quantitative data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Quantitative Data Analyst vs Data Scientist?

AspectEntry Level Quantitative Data AnalystData Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's or higher in Computer Science, Statistics, or related field; often a master's or PhD
Work EnvironmentData analysis teams in finance, marketing, or healthcareData science teams across tech, finance, healthcare, and more
Employer & Industry UsageEntry-level roles in various industries using data analysisAdvanced roles involving machine learning and predictive modeling

Entry Level Quantitative Data Analysts focus on basic data analysis and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, tools used, and project complexity, with Data Scientists typically requiring more advanced education and experience.

What cities are hiring for Entry Level Quantitative Data Analyst jobs? Cities with the most Entry Level Quantitative Data Analyst job openings:
What are the most commonly searched types of Quantitative Data Analyst jobs? The most popular types of Quantitative Data Analyst jobs are:
What states have the most Entry Level Quantitative Data Analyst jobs? States with the most job openings for Entry Level Quantitative Data Analyst jobs include:
Entry Level Quantitative Data Analyst jobs near you
Infographic showing various Entry Level Quantitative Data Analyst job openings in the United States as of June 2026, with employment types broken down into 24% Full Time, 74% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Quantitative Data Analyst

Quantitative Data Analyst

Lazard, Inc.

Boston, MA • On-site

$90K - $150K/yr

Full-time

Posted 18 days ago

Job description


Lazard is one of the world's preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborativecommunity of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward - and for careers to take flight.
The Advantage Quantitative Equity team is hiring a Quantitative Data Analyst to take ownership of the quality, reliability, and usability of the quantitative datasets that power our research and production investment workflows. These datasets are the direct inputs to factor models, risk models, alpha signals, backtests, and live portfolio construction - data quality here has real investment consequences.
We'll trust you to:
  • Become a domain owner for key quant datasets (e.g., market data, fundamentals, corporate actions, identifiers/reference data) and develop a detailed understanding of their structure, lineage, known quirks, and intended use in research and production workflows
  • Onboard new datasets end-to-end: profiling, schema/coverage validation, identifier mapping, cross-source reconciliation, documentation, and support for productionization
  • Build and maintain automated data validation and monitoring processes (completeness, timeliness, duplication, outliers, stale/missing series, mapping breaks), along with clear quality metrics and dashboards - implemented in code, not spreadsheets
  • Investigate data anomalies impacting research or production output: triage, isolate root cause, quantify impact, coordinate remediation, and write the code that prevents recurrence
  • Write Python scripts, pipelines, and utilities (using pandas, NumPy, and related libraries) to automate validation, onboarding, reconciliation, and monitoring workflows; collaborate with quant developers to harden and operationalize your solutions
  • Maintain high-quality dataset documentation and operational runbooks (definitions, assumptions, known quirks, troubleshooting guidance), improving consistency and conventions across the data ecosystem
  • Maintain datasets over time through routine checks, backfills, and improvements as vendor definitions, schemas, and business requirements evolve
  • Engage constructively with internal teams and external vendors when addressing data issues or evaluating new sources

You'll need to have:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, Finance, Computer Science) or equivalent practical experience
  • Hands-on experience working with quantitative financial datasets - e.g., prices/returns, fundamentals, corporate actions, security master / reference data, factor data, risk model inputs - from vendors such as Bloomberg, Refinitiv/LSEG, Compustat, FactSet, or ICE
  • Solid understanding of common time-series data quality challenges in a systematic investment context: staleness, point-in-time correctness, survivorship bias, partial trading days, identifier changes (CUSIP/ISIN/ticker), and corporate action adjustments
  • Experience working with vendor datasets; comfort reconciling across sources and managing schema/definition changes over time
  • Strong SQL skills: ability to write and optimize queries to validate, reconcile, and investigate issues across large analytical datasets
  • Strong Python skills: able to write clean, maintainable scripts, pipelines, and reusable utilities independently; comfortable with pandas, NumPy, file I/O, and scheduling
  • Strong analytical and debugging mindset; able to diagnose data inconsistencies systematically and drive fixes through to completion
  • Strong communication and collaboration skills; effective in small, close-knit teams with direct stakeholder interaction

It's a bonus to have:
  • Experience at a quantitative asset manager, systematic hedge fund, or similar investment data environment
  • Experience supporting production data pipelines and incident workflows (monitoring, alerts, runbooks, operational readiness)
  • Familiarity with modern data warehouses (e.g., Snowflake) and/or analytical engines (e.g., DuckDB, Polars)
  • Cloud experience, preferably Azure

What we offer:
We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits. Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community. When you work for Lazard, you are working for an organization that care about your unique talents and passions, and will continue to invest in the development of your career.
We expect the base salary range for this role to be approximately $90,000 - $150,000 USD. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant's years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held, and relevant skills for the role. Base salary is one component of Lazard's compensation package, which also includes comprehensive benefits and may include incentive compensation.
Does this sound like you?
Apply! We'll get in touch and let you know the next steps.
Representation at Lazard
Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.
Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.

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