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Quantitative Analytics Analyst Jobs (NOW HIRING)

Keybank

Quantitative Analytics Lead Associate

Buffalo, NY · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and ...

Keybank

Quantitative Analytics Lead Associate

Brooklyn, OH · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and ...

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Quantitative Analytics Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative analytics analyst jobs pay per year?

As of Jul 22, 2026, the average yearly pay for quantitative analytics 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.

What are some common challenges faced by Quantitative Analytics Analysts when working with large data sets?

Quantitative Analytics Analysts often encounter challenges related to data quality, such as incomplete or inconsistent data, which can impact the accuracy of their analyses. Managing and processing massive data sets requires familiarity with advanced analytical tools and programming languages like Python, R, or SQL. Additionally, effectively communicating complex quantitative findings to non-technical stakeholders can be demanding, so strong visualization and presentation skills are important. Analysts typically collaborate with data engineers, risk managers, and business strategists to ensure their models are both robust and actionable.

What are Quantitative Analytics Analysts?

Quantitative Analytics Analysts are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex problems, often within the finance or business sector. They develop and implement models to assess risk, forecast trends, and inform decision-making. Their work is crucial for organizations that rely on data-driven strategies, such as banks, investment firms, and consulting companies. Quantitative Analytics Analysts often collaborate with other teams to provide actionable insights and optimize business processes.

What are the key skills and qualifications needed to thrive as a Quantitative Analytics Analyst, and why are they important?

To thrive as a Quantitative Analytics Analyst, you need strong analytical skills, a solid foundation in mathematics or statistics, and usually a degree in a quantitative field such as finance, economics, or computer science. Familiarity with programming languages like Python or R, data analysis tools, and statistical software, as well as experience with databases such as SQL, is highly valued. Attention to detail, problem-solving ability, and effective communication skills help analysts interpret data and convey complex findings clearly. These skills are essential for accurately modeling data, informing business decisions, and driving actionable insights in data-driven environments.

What is the difference between Quantitative Analytics Analyst vs Data Analyst?

AspectQuantitative Analytics AnalystData Analyst
Required CredentialsBachelor's or master's in finance, statistics, or related fields; proficiency in statistical softwareBachelor's in data science, statistics, or related fields; strong Excel and SQL skills
Work EnvironmentFinancial firms, investment banks, hedge fundsBusiness, marketing, healthcare, tech companies
Employer & Industry UsageUsed in finance and investment sectors for modeling and risk analysisUsed across various industries for data reporting and insights

While both roles analyze data, Quantitative Analytics Analysts focus on complex financial modeling and risk assessment using advanced statistical methods, often in finance. Data Analysts handle broader data collection and reporting tasks across industries. The roles overlap in data skills but differ in industry focus and complexity.

More about Quantitative Analytics Analyst jobs
What states have the most Quantitative Analytics Analyst jobs? States with the most job openings for Quantitative Analytics Analyst jobs include:
What job categories do people searching Quantitative Analytics Analyst jobs look for? The top searched job categories for Quantitative Analytics Analyst jobs are:
Quantitative Analytics Analyst jobs near you
Infographic showing various Quantitative Analytics Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Strategist (Macro Data Analytics)

Quantitative Strategist (Macro Data Analytics)

Strivector

Manhattan, NY • On-site

Other

Posted 8 days ago

Job description

Title:  Quantitative Strategist (Macro Data Analytics)

Location: New York, NY

Position Type: Fulltime/Permanent

Job Description:

What you’ll do

  • Design and develop pre-trade pricing and analytics tools for investment professionals, supporting Rates and FX products.
  • Implement real-time pricing engines and historical pricing frameworks using market and trading data.
  • Develop analytics for historical curve construction, curve evolution, and relative value analysis.
  • Design, generate, and maintain large-scale derived macro datasets for trading analytics, ensuring consistency, performance, and reusability across workflows.
  • Build scenario analysis frameworks allowing investment professionals to define shocks and assess pricing and PnL impacts.
  • Integrate pricing, scenario, and back testing analytics into research and trading workflows.
  • Develop scalable data pipelines for historical market data ingestion, normalization, storage, and retrieval.
  • Collaborate with investment professionals to translate trading ideas into quantitative analytics and tooling.
  • Contribute to the firm’s core analytics libraries and data architecture, with a focus on robustness, performance, and extensibility across asset classes.


What’s required

  • Post-graduate degree in a quantitative discipline from a top-tier university.
  • 8-15+ years of experience in macro quantitative analytics and development at a top-tier fund.
  • Strong expertise in linear Rates and FX products, including curve construction, pricing, and relative value.
  • Proven experience building pre-trade analytics, trading pricing tools and research platforms.
  • Strong understanding of back testing frameworks, historical analysis, and scenario-based research.
  • Advanced programming skills in Python and C++.
  • Solid data engineering and analytics proficiency, including experience with large financial datasets and time-series data.
  • Proven experience building and persisting derived data at scale, including data modeling, storage, and access patterns for quantitative research and production analytics.
  • Hands-on experience with cloud-based data and analytics platforms such as AWS, Google Cloud Platform, and/or Azure.
  • Experience designing and maintaining production-quality data pipelines and analytics services.
  • Strong communication skills and a demonstrated ability to work closely with investment professionals.
  • Commitment to the highest ethical standards.

Apply