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Quant Data Jobs (NOW HIRING)

Quanta Search

Quant Data Engineer

Manhattan, NY

Our client, aglobalAsset Management firm, is looking for meticulous hands-on Quant Data Engineer provide historical and real-time bar data to Quant PMs for research and live strategies. Engineer will ...

Quanta Search

Quant Data Engineer

Manhattan, NY · On-site

Our client, a global Asset Management firm, is looking for meticulous hands-on Quant Data Engineer provide historical and real-time bar data to Quant PMs for research and live strategies. Engineer ...

Quanta Search

Sr. Quant Data Analyst

Manhattan, NY

Our client, a global Asset Management firm, is looking for a senior Quant Data Analyst to work closely with research PM to lead the research efforts required for the Strategy. Candidate will gather ...

Quanta Search

Sr. Quant Data Analyst

Manhattan, NY · On-site

Our client, a global Asset Management firm, is looking for a senior Quant Data Analyst to work closely with research PM to lead the research efforts required for the Strategy. Candidate will gather ...

Point72

Trader/Quant Analyst

Stamford, NY · On-site

Summary We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at ...

Point72

Trader/Quant Analyst

Stamford, NY

Summary We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at ...

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Quant Data information

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$98K

$169.7K

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How much do quant data jobs pay per year?

As of Jun 14, 2026, the average yearly pay for quant data in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

Is 30 too late to become a quant?

Becoming a quantitative analyst or 'quant' is possible at age 30, as many professionals enter the field with backgrounds in mathematics, finance, or computer science. Success often depends on acquiring relevant skills such as programming in Python or C++, understanding financial models, and gaining experience through internships or certifications like CFA or CQF.

What is the difference between Quant Data vs Quant Analyst?

AspectQuant DataQuant Analyst
Required CredentialsBachelor's or Master's in Math, Statistics, or related fields; programming skillsSame as Quant Data, often with additional experience in financial modeling
Work EnvironmentData-focused, often in tech or finance firmsFinancial institutions, hedge funds, investment banks
Employer & Industry UsageTech companies, finance firms, data-driven organizationsPrimarily finance and investment sectors
Common Search & ComparisonYesYes

Quant Data professionals focus on collecting, processing, and managing large datasets, often with programming and data engineering skills. Quant Analysts analyze financial data to develop trading strategies and risk models. While both roles require strong quantitative skills and similar credentials, Quant Data roles are more data infrastructure-oriented, whereas Quant Analysts focus on financial analysis and modeling.

What jobs use quantitative data?

Quantitative data is used in a variety of jobs such as data analyst, financial analyst, statistician, and market researcher. These roles involve analyzing numerical data to inform business decisions, often requiring skills in statistical software, Excel, or programming languages like Python or R.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, with candidates often holding advanced degrees in related fields. The firm values experience with tools like Python, R, or MATLAB and may require relevant certifications or industry knowledge.

What are the key skills and qualifications needed to thrive as a Quant Data professional, and why are they important?

To thrive as a Quant Data professional, you need strong quantitative analysis skills, a background in mathematics, statistics, or computer science, and often an advanced degree such as a master's or PhD. Proficiency with programming languages such as Python, R, or MATLAB, and experience with data analysis tools, databases, and statistical modeling software are typical technical requirements. Critical thinking, attention to detail, and effective communication are standout soft skills for interpreting complex data and presenting actionable insights. These abilities are crucial for developing robust models, making informed decisions, and driving value in data-driven finance or research environments.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation varies based on experience, location, and the firm, with skills in programming, mathematics, and finance being highly valued.

What are Quant Data professionals?

Quant Data professionals, often called quantitative data analysts or 'quants,' are experts who use mathematical, statistical, and computational techniques to analyze large datasets, primarily in finance and investment management. They develop models to inform trading strategies, risk management, and investment decisions by extracting actionable insights from complex data. Quants often work with programming languages like Python, R, or MATLAB, and have strong backgrounds in mathematics, statistics, or engineering. Their work is critical in algorithmic trading, portfolio management, and financial research.

What are some common challenges faced by Quant Data professionals when working with large financial datasets?

Quant Data professionals often encounter the challenge of efficiently processing and cleaning massive volumes of financial data, which can be noisy or incomplete. Ensuring data integrity and accuracy is critical, as even small errors can significantly impact model performance and trading decisions. Additionally, they must collaborate closely with software engineers and quantitative researchers to optimize data pipelines and integrate new data sources, all while maintaining compliance with data privacy regulations. Adapting to rapidly changing market conditions and continuously updating data models are also key aspects of the role.

Quant Data Engineer

Quanta Search

Manhattan, NY

Other

Posted 20 days ago

Job description

Our client, aglobalAsset Management firm, is looking for meticulous hands-on Quant Data Engineer provide historical and real-time bar data to Quant PMs for research and live strategies. Engineer will provide the Quant Data API for historical and real-time Bars data used to analyze research data and for live trading. Candidate will work closely with the research PM to provide the data required for a given Strategy including validation of the data quality.
Requirements:
  • Past experience building Python data APIs
  • Experience writing data validations in Python
  • Systematic experience required
  • Keen sense of finding data issues.
  • Experience with one of the following required: Futures, FX or options market data
  • Past experience working with time series bars and real-time data.

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