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Quantitative Analyst Jobs in New Rochelle, NY (NOW HIRING)

Amicis Global

Quantitative Analyst

Jersey City, NJ · On-site

$75 - $85/hr

Quantitative Analyst Duration: 6+ Months Location: Jersey City, NJ, 07311 Summary: The Insider Risk team, in partnership with the Information Security Data Operations team, is working on a project to ...

Rouse Properties

Quantitative Analyst

Manhattan, NY

$100K - $120K/yr

Working with the Commercial Operations team, the Quantitative Analyst is responsible for building models and data processes to value renewable generation assets and complex transactions in US power ...

Brookfield Renewable

Quantitative Analyst

Manhattan, NY · On-site

$100K - $120K/yr

Working with the Commercial Operations team, the Quantitative Analyst is responsible for building models and data processes to value renewable generation assets and complex transactions in US power ...

Brookfield Renewable

Quantitative Analyst

Manhattan, NY · On-site

$100K - $120K/yr

Working with the Commercial Operations team, the Quantitative Analyst is responsible for building models and data processes to value renewable generation assets and complex transactions in US power ...

StradIT

Quantitative Analyst

Jersey City, NJ · On-site

... validate analysis results to ensure quality Requirements Qualifications: 5+ years of working experience and must have 3+ years of hands-on experience in quantitative models, research, with deep ...

UBS

Quantitative Analyst

New York, NY · On-site

$145K - $172K/yr

Your team The Equities Quantitative Analytics (QA) team is the Front Office group responsible for the development and maintenance of models used for the valuation and risk management of the firm ...

StradIT

Quantitative Analyst

Jersey City, NJ · On-site

... analysis results to ensure quality Requirements Qualifications: • 5+ years of working experience and must have 3+ years of hands-on experience in quantitative models, research, with deep ...

Elliot Partnership

Quantitative Analyst

New York, NY · On-site

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

StradIT

Quantitative Analyst - US

Jersey City, NJ · On-site

* 5+ years of working experience and must have 3+ years of hands-on experience in quantitative ... Strong analytical and problem-solving skills * Excellent communication skills, both oral and ...

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All JobsQuantitative Analyst JobsQuantitative Analyst Jobs in New Rochelle, NY

Quantitative Analyst information

See New Rochelle, NY salary details

$58.1K

$137.8K

$247K

How much do quantitative analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for quantitative analyst in New Rochelle, NY is $137,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $149,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quantitative analyst, and why are they important?

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

How does a quantitative analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is a quantitative analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

More about Quantitative Analyst jobs

What are the most commonly searched types of Quantitative Analyst jobs in New Rochelle, NY?

The most popular types of Quantitative Analyst jobs in New Rochelle, NY are:

What are popular job titles related to Quantitative Analyst jobs in New Rochelle, NY?

For Quantitative Analyst jobs in New Rochelle, NY, the most frequently searched job titles are:

What cities near New Rochelle, NY are hiring for Quantitative Analyst jobs?

Cities near New Rochelle, NY with the most Quantitative Analyst job openings:

Quantitative Analyst jobs near you
Infographic showing various Quantitative Analyst job openings in New Rochelle, NY as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 6% Part Time, 1% Temporary, and 7% Contract. Highlights an 80% Physical, 10% Hybrid, and 10% Remote job distribution, with an average salary of $137,768 per year, or $66.2 per hour.

Quantitative Analyst

Amicis Global

Jersey City, NJ • On-site

$75 - $85/hr

Contractor

Re-posted 27 days ago

Job description

Title: Quantitative Analyst
Duration: 6+ Months
Location: 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 / Quantitative 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 improving quantitative models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk across employees, contractors, vendors, and non‐human identities.
The role partners closely with Cyber, HR, Legal, Compliance, Anti‐Fraud, and Enterprise Information Protection to transform complex enterprise data into defensible risk signals, transparent scoring models, and executive‐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, Quantitative Finance, Computer Science, or a related discipline.
2) 5+ years of experience in data science, quantitative analysis, or risk modeling, preferably in financial services or regulated industries.
3) Strong experience building statistical or machine‐learning models (regression, classification, anomaly detection, clustering).
4) Proficiency in Python and/or R, with experience in SQL for large‐scale data analysis.
5) Hands‐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 non‐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 human‐centric risk modeling.