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Statistician Quantitative Analyst Jobs (NOW HIRING)

Quantitative Analyst

Jersey City, NJ ยท On-site

$75 - $85/hr

This role is responsible for designing, building, and continuously improving quantitative models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk ...

Statistician

$70K - $80K/yr

This role applies advanced statistical modeling and quantitative analysis to predict outcomes based on defined parameters, ensuring accuracy, reliability, and practical usability within a production ...

Design, develop, and execute test cases for statistical modeling and analytical software applications. * Collaborate closely with quantitative engineers to investigate and resolve test case failures.

... Statistics Stochastic Processes Analytical formula derivation Model validation and gap analysis ... in quantitative analytics Counterparty Credit Risk experience Prime Brokerage or Clearing ...

... statistics, econometrics, or related field (preferred). Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Northbrook IL Jobs, Quantitative Analyst, R, Python ...

Quantitative Analyst

Columbus, OH ยท On-site

$77K - $90K/yr

While grounded in statistical programming (R) and rigorous research methodologies, the analyst will ... Quantitative Research & Statistical Analysis: Lead the design and execution of consumer surveys (e ...

Uses quantitative methods to research modeling methodology for the development, refinement and ... Conducts statistical and economic analysis to understand key drivers impacting the financial and ...

Quantitative Analyst The role, quantitative analyst, is ideal for someone who enjoys finding trends ... Commute subsidy Background Experience * BS/BA in Statistics, Mathematics, Economics, Finance ...

OVERVIEW: Quants apply mathematical techniques and write software to develop, analyze, and implement statistical models for our computerized financial trading strategies. They utilize their ...

Uses quantitative methods to research modeling methodology for the development, refinement and ... Conducts statistical and economic analysis to understand key drivers impacting the financial and ...

Quantitative Analyst The role, quantitative analyst, is ideal for someone who enjoys finding trends ... Statistics, Mathematics, Economics, Finance, Computer Science, or another technical major, or ...

OH0713 NW Bancshares HQ, PA0258 Bellevue The Quantitative Analyst I is responsible for supporting ... These models could be rules-based or developed with more advanced statistical, mathematical ...

OH0713 NW Bancshares HQ, PA0258 Bellevue The Quantitative Analyst I is responsible for supporting ... These models could be rules-based or developed with more advanced statistical, mathematical ...

OH0713 NW Bancshares HQ, PA0258 Bellevue The Quantitative Analyst I is responsible for supporting ... These models could be rules-based or developed with more advanced statistical, mathematical ...

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Statistician Quantitative Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do statistician quantitative analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for statistician quantitative 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 the key skills and qualifications needed to thrive as a Statistician Quantitative Analyst, and why are they important?

To thrive as a Statistician Quantitative Analyst, you need a solid background in statistics, mathematics, and data analysis, typically supported by a relevant degree such as statistics, mathematics, or a related field. Proficiency in statistical software (such as R, SAS, or Python), data visualization tools, and experience with quantitative modeling are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help convey complex findings to stakeholders. These skills are crucial for delivering accurate analyses that drive informed decision-making and strategic planning.

What is a Statistician Quantitative Analyst?

A Statistician Quantitative Analyst is a professional who applies mathematical and statistical techniques to analyze and interpret complex data, often to support decision-making in finance, business, healthcare, or government. They use quantitative models to forecast trends, evaluate risk, and solve real-world problems. These analysts often work with large datasets, employ programming and statistical software, and communicate their findings to stakeholders to guide strategic planning or investment decisions.

How do Statisticians and Quantitative Analysts typically collaborate with other departments in an organization?

Statisticians and Quantitative Analysts often work closely with teams such as finance, product development, and marketing to provide data-driven insights that inform strategic decisions. Collaboration usually involves translating complex statistical findings into actionable recommendations and presenting results to non-technical stakeholders. Effective communication and teamwork are essential, as these professionals frequently participate in cross-functional meetings and may be called upon to explain methodologies or defend their analyses. This collaborative environment helps ensure that data insights are aligned with organizational goals and that projects benefit from diverse expertise.

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

AspectStatistician Quantitative AnalystData Scientist
Required credentialsBachelor's or Master's in Statistics, Mathematics, or related fieldsBachelor's or Master's in Computer Science, Data Science, or related fields
Work environmentFinancial firms, government agencies, research institutionsTech companies, finance, healthcare, consulting
Employer usageFocus on statistical modeling, data analysis, forecastingFocus on data mining, machine learning, predictive modeling

While both roles analyze data, statisticians and quantitative analysts primarily focus on statistical methods and modeling, often in finance or research. Data scientists typically employ a broader set of tools, including machine learning and programming, to extract insights across various industries.

Quantitative Analyst

Amicis Global

Jersey City, NJ โ€ข On-site

$75 - $85/hr

Contractor

Posted 29 days ago


Job description

Title:ย Quantitativeย Analyst
Duration:ย 6+ย Months
Location:ย Jersey City, NJ, 07311
Summary:
The Insider Risk team, in partnership with the Information Security Data Operations team, is working on a project to centralize IR data in the Cybersecurity Data Lakehouse (CyberDW). We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a human risk score for the Insider Risk program. This individual will be adept at ML, AI, and best practices around the new tools in the marketplace.
The Data Scientist / Data Modeler /ย Quantitativeย Analyst will play a critical role in advancing the Insider Risk program's detection, scoring, and decisioning capabilities. This role is responsible for designing, building, and continuously improvingย quantitativeย models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk across employees, contractors, vendors, and nonโ€human identities.
The role partners closely with Cyber, HR, Legal, Compliance, Antiโ€Fraud, and Enterprise Information Protection to transform complex enterprise data into defensible risk signals, transparent scoring models, and executiveโ€level metrics that support investigations, governance, and regulatory scrutiny.
Required Skills:
1) Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Economics,ย Quantitativeย Finance, Computer Science, or a related discipline.
2) 5+ years of experience in data science,ย quantitativeย analysis, or risk modeling, preferably in financial services or regulated industries.
3) Strong experience building statistical or machineโ€learning models (regression, classification, anomaly detection, clustering).
4) Proficiency in Python and/or R, with experience in SQL for largeโ€scale data analysis.
5) Handsโ€on experience working with complex enterprise datasets and translating analytics into business decisions.
6) Strong communication skills with the ability to explain complex analytical concepts to nonโ€technical stakeholders.
7) Experience supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, or Threat Analytics programs.
8) Familiarity with identity and access data, endpoint telemetry, DLP, email, or collaboration monitoring.
9) Experience with model explainability, governance, and validation in regulated environments.
10) Knowledge of employee lifecycle risk, behavioral analytics, or humanโ€centric risk modeling.