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Weekend Quantitative Analyst Jobs in New York (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 ...

Rapidtrade

Quantitative Analyst

Manhattan, NY · On-site

$150 - $250/hr

Trading New York, NY Full-time $150,000 - $250,000 About the Role We're seeking a Quantitative Analyst to research and develop trading strategies for our AI-powered platform. You'll combine ...

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 ...

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 ...

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

$120 - $180/hr

Independently format and validate analysis results to ensure quality Qualifications * 5+ years of working experience and must have 3+ years of hands‑on experience in quantitative models, research ...

Aplaro Ltd

Quantitative Analyst

Manhattan, NY · On-site

$142 - $213/hr

The Quantitative Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the ...

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 ...

FAVARH

Quantitative Analyst

New York, NY

Start your Voyage - Apply Now Get to Know the Opportunity Voya Investment Management is seeking a Quantitative Analyst for the Multi-Asset Strategies and Solutions Group (MASS). The group manages ...

New

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 ...

Unchain Data

Senior Quantitative Analyst

Manhattan, NY · On-site

$150 - $210/hr

The Role As a Senior Quantitative Analyst at RobotBulls, you will be responsible for designing, testing, and deploying quantitative trading strategies across crypto and traditional equity markets.

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Weekend Quantitative Analyst information

See New York salary details

$61.8K

$146.5K

$262.6K

How much do weekend quantitative analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend quantitative analyst in New York is $146,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $159,200.00 per year, depending on experience, location, and employer.

What is a weekend quantitative analyst?

A Weekend Quantitative Analyst is a professional who applies mathematical and statistical techniques to analyze data and solve financial or business problems, specifically during weekends. They often work for financial institutions, investment firms, or consulting companies, focusing on tasks such as modeling, risk analysis, and data interpretation. This role may involve supporting trading activities, conducting research, or testing algorithms outside of regular weekday hours. Weekend Quantitative Analysts help organizations maintain continuous operations and respond to market changes that occur over weekends. Strong skills in mathematics, programming, and data analysis are essential for success in this position.

What are the typical responsibilities of a weekend quantitative analyst, and how does the work differ from weekday roles?

As a Weekend Quantitative Analyst, your main responsibilities typically include real-time data analysis, monitoring market movements, and supporting trading teams during weekend trading sessions. Unlike weekday roles that may focus more on research or strategy development, weekend analysts often prioritize immediate problem-solving and rapid response to market events. Collaboration is usually remote, with communication channels open to traders and risk managers who require timely insights. This role is ideal for individuals seeking flexibility while still contributing to critical decision-making processes in financial institutions.

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

To thrive as a Weekend Quantitative Analyst, you need strong quantitative analysis skills, proficiency in statistics, and a degree in mathematics, finance, or a related field. Familiarity with programming languages like Python or R, statistical modeling tools, and data visualization platforms is typically required. Exceptional problem-solving abilities, attention to detail, and effective time management set top performers apart in this role. These skills and qualities are crucial for accurate data-driven insights and timely financial decision-making, especially during critical weekend market hours.

What is the difference between Weekend Quantitative Analyst vs Part-Time Quantitative Analyst?

AspectWeekend Quantitative AnalystPart-Time Quantitative Analyst
CredentialsTypically requires a degree in finance, mathematics, or related field; certifications like CFA are commonSimilar educational background; certifications optional but beneficial
Work EnvironmentUsually works during weekends or specific days, often in financial firms or hedge fundsFlexible hours, often in the same environments as weekend analysts
Employer & Industry UsageUsed by hedge funds, asset managers, and financial institutions for weekend analysisCommon across financial firms for flexible, part-time support roles

The main difference between a Weekend Quantitative Analyst and a Part-Time Quantitative Analyst lies in their work schedule. Weekend analysts specifically work during weekends, while part-time analysts may have flexible hours throughout the week. Both roles require similar skills and credentials, and are used in comparable financial environments to support quantitative research and analysis.

Are weekend quantitative analysts in high demand?

Weekend quantitative analysts are in moderate demand, primarily in financial firms that require 24/7 market monitoring and data analysis. Their roles often involve skills in programming, statistical modeling, and familiarity with tools like Python or R, but demand can vary based on market conditions and company needs.

What are the most commonly searched types of Quantitative Analyst jobs in New York?

The most popular types of Quantitative Analyst jobs in New York are:

What cities in New York are hiring for Weekend Quantitative Analyst jobs?

Cities in New York with the most Weekend Quantitative Analyst job openings:

Weekend Quantitative Analyst jobs near you
Infographic showing various Weekend Quantitative Analyst job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $146,466 per year, or $70.4 per hour.

Quantitative Analyst

Amicis Global

Jersey City, NJ • On-site

$75 - $85/hr

Contractor

Re-posted 4 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.