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Quant Data Jobs (NOW HIRING)

As a quantitative developer at Frec, you'll create products that enable us to level the financial ... Financial Data Analysis & Modeling: You'll tackle complex challenges around analyzing large ...

Quant Developer

Jersey City, NJ ยท On-site +1

$80 - $90/hr

Apply machine learning techniques to time-series data including feature engineering, model training ... Translate quantitative and ML research into production-ready, resilient systems. * Integrate AI ...

THE ROLE We seek a seasoned Credit Quant. You will work in a collaborative environment alongside ... Create tools to automate research tasks and improve visualization of complex data sets THE ...

The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Experienced quantitative ...

As a quantitative developer at Frec, you'll create products that enable us to level the financial ... Data Pipelines & Financial Modeling: You'll tackle complex challenges around ingesting and ...

Quant Developer

Jersey City, NJ ยท On-site +1

$80 - $90/hr

Apply machine learning techniques to time-series data including feature engineering, model training ... Translate quantitative and ML research into production-ready, resilient systems. * Integrate AI ...

As a part of our Quant team you'll be studying the crypto market to find profitable trading ... Analyze market microstructure and on-chain data to identify inefficiencies and trading ...

The core of our effort is rigorous research into a widerange of market anomalies, fueled by our unparalleled access to a wide range of publiclyavailable data sources. Role: Experienced quantitative ...

Assesses market trends and provides quantitative data to internal partners and clients to identify the solutions required to effectively solve business problems * Participates in client meetings, due ...

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Quant Data information

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$98K

$169.7K

$259.5K

How much do quant data jobs pay per year?

As of Jun 15, 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.

Senior Quant Developer for a stat arb HF

Quanta Search

Manhattan, NY โ€ข On-site

Other

Posted 12 days ago


Job description

Our client is one of the world's premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role:
Experienced quantitative developer who will be one of the senior leads of the newly formed Central Research Technology team, which builds strategic solutions for research and live trading of quantitative strategies across multiple frequencies and products. This is a unique opportunity to design and build the next generation of research and quant trading systems.
Role/Responsibilities:
  • Building a robust, scalable research infrastructure, including alpha estimation and risk modeling components
  • Developinga seamless but modular platform to handle all aspects of quant trading - model building, optimization, and trade execution
  • Building high-performance/low-latency modular systems for live trading and simulation
  • Developing robust data checking, transformation and storage procedures
  • Building visualization tools and monitors for market/trade/position/risk
  • Maintenance and troubleshooting of trading systems

Requirements:
-5+ years of professional software engineering experience in a collaborative environment
-Understanding of object oriented programming, design patterns, data structures and dependency graphs
-Experience with the software delivery lifecycle and production deployment
-Fluency in Python (and its ecosystem) for data analytics, research and production usage
-Experience with C++
-Experience working with streaming and historical time series data, including a variety of messaging systems and databases
-Experience developing distributed backtesting, simulation, and real time systems
-Experience with automated reporting, monitoring, and visualization
-Experience in Finance is a strong advantage, but not an absolute requirement
-Reasonable quantitative and statistical skills
-Team player with strong pride of ownership