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Seasonal 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 ...

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 ...

Point72

Trader/Quant Analyst

Stamford, NY · On-site

... data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space. Role/Responsibilities:

Point72

Trader/Quant Analyst

Stamford, NY · On-site

... data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space. Role/Responsibilities:

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 ...

TAD PGS, Inc

Data Analyst

Huntsville, AL

$43.26 - $52.88/hr

The Quantitative Data Analyst helps with the interpretation, implementation, analysis and visualization of large amounts of data within OCIO into more readable formats for personnel and our partners ...

Clarity Innovations

Data Analyst

Hurlburt Field, FL · On-site

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... quantitative data that support SOCOM and AFSOC products. Requirements * Minimum of 1-year ...

New

Clarity Innovations

Data Analyst

Hurlburt Field, FL

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... quantitative data that support SOCOM and AFSOC products. Requirements * Minimum of 1-year ...

New

TAD PGS, Inc.

Data Analyst

Huntsville, AL

The Quantitative Data Analyst helps with the interpretation, implementation, analysis and visualization of large amounts of data within OCIO into more readable formats for personnel and our partners ...

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Seasonal Quantitative Data Analyst information

See salary details

$56.5K

$133.9K

$240K

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

As of Jul 16, 2026, the average yearly pay for seasonal quantitative data 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.

Will AI replace a data analyst?

AI is transforming the role of a seasonal quantitative data analyst by automating routine data processing and analysis tasks. However, data analysts are still essential for interpreting complex data, making strategic decisions, and applying domain expertise that AI cannot fully replicate. Skills in statistical analysis, data visualization, and programming remain valuable in this evolving field.

Is 40 too late for data science?

As a seasonal quantitative data analyst or someone entering data science, starting at age 40 is not too late. Many professionals transition into data roles later in life, and skills such as programming, statistical analysis, and machine learning can be developed at any age through online courses and certifications. Experience and continuous learning are valuable assets in the field regardless of age.

Is a quantitative analyst in demand?

Quantitative analysts are in high demand across industries such as finance, technology, and consulting due to their skills in data analysis, statistical modeling, and programming. The role often requires proficiency in tools like Python, R, or SQL, and demand is expected to grow with increasing reliance on data-driven decision making.

What is the difference between Seasonal Quantitative Data Analyst vs Data Scientist?

AspectSeasonal Quantitative Data AnalystData Scientist
CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRetail, finance, or seasonal industries with short-term projectsTech companies, research labs, or industries requiring advanced analytics
Employer UsageSeasonal peaks, short-term data analysis needsLong-term data modeling, machine learning, and predictive analytics
Search & Comparison IntentFocus on seasonal data analysis rolesBroader data modeling and advanced analytics roles

The main difference is that Seasonal Quantitative Data Analysts focus on short-term, seasonal data projects often in retail or finance, requiring strong statistical skills. Data Scientists typically handle complex data modeling, machine learning, and long-term analytics, often with advanced degrees. Both roles require quantitative skills but differ in scope and industry application.

Is IT still worth IT to become a data analyst in 2026?

A seasonal quantitative data analyst role involves analyzing large datasets, often using tools like SQL, Python, or R. The demand for data analysts is expected to grow as organizations increasingly rely on data-driven decision-making, making the profession generally valuable in 2026.
What cities are hiring for Seasonal Quantitative Data Analyst jobs? Cities with the most Seasonal 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 Seasonal Quantitative Data Analyst jobs? States with the most job openings for Seasonal Quantitative Data Analyst jobs include:
Seasonal Quantitative Data Analyst jobs near you
Quantitative Data Analyst

Quantitative Data Analyst

Lazard, Inc.

Boston, MA • On-site

$90K - $150K/yr

Full-time

Posted 28 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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