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Full Time Risk Quant Jobs in New York (NOW HIRING)

Citigroup, Inc.

Regulatory Risk Officer

New York, NY · On-site

$188K/yr

Develop core analytical capabilities or model libraries, using advanced statistical, quantitative ... Time Type: Full time Primary Location: New York New York United States Primary Location Full Time ...

Paco Group

Risk Manager - PACO Group, Inc

New York, NY · On-site

$100 - $120/hr

Employment Type: Full time Knowledge, Skills, & Abilities: Education Requirements: Hourly Rate ... Quantitative Analysis • Build cost- and schedule-risk models; run Monte Carlo simulations (10k ...

Jefferies

Equity Derivatives Quant VP/SVP

Manhattan, NY

$175K - $300K/yr

When needed, provide quantitative support for pricing, scenario analysis, and risk assessment of ... Primary Location Full Time Salary Range of $175,000 - $300,000. #LI-DNI Jefferies is a leading ...

Jefferies

Equity Derivatives Quant VP/SVP

Manhattan, NY · On-site

$175K - $300K/yr

When needed, provide quantitative support for pricing, scenario analysis, and risk assessment of ... Primary Location Full Time Salary Range of $175,000 - $300,000. #LI-DNI About Us Jefferies is a ...

Paco Group

Project Risk Specialist

New York, NY · On-site

$45 - $65/hr

Employment Type: Full time Knowledge, Skills, & Abilities: Demonstrated ability to support the ... E. Quantitative Risk Analysis and Modeling * Support Quantitative Risk Assessments (QRA) for cost ...

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Full Time Risk Quant information

How much do quant risk analysts make?

Quant risk analysts typically earn between $80,000 and $150,000 annually, with experienced professionals and those in major financial centers earning higher salaries. Compensation often includes bonuses and benefits, and strong skills in programming, statistics, and risk modeling are highly valued in this role.

What jobs make $1,000,000 a year?

Full Time Risk Quants in finance can earn close to or over $1,000,000 annually, especially with bonuses and profit-sharing. High-level roles in investment banking, hedge funds, private equity, and executive positions in large corporations also have the potential to reach this income level, often requiring advanced degrees, specialized skills, and extensive experience.

What is the salary of a quant risk manager?

A full-time risk quant manager typically earns a salary ranging from $100,000 to $200,000 annually, depending on experience, location, and the size of the financial institution. Senior roles or those with specialized skills in quantitative modeling and risk management tools may earn higher compensation, often supplemented with bonuses and incentives.

What is the difference between Full Time Risk Quant vs Quantitative Analyst?

AspectFull Time Risk QuantQuantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like CFA or FRMSimilar educational background; often CFA or FRM beneficial
Work EnvironmentFinancial institutions, risk management teams, trading floorsInvestment banks, asset management firms, hedge funds
Employer & Industry UsagePrimarily in risk management departments within financeAcross various finance sectors including trading, investment analysis
Comparison Search IntentUnderstanding risk-focused roles in financeAnalyzing financial data and models for investment decisions

Full Time Risk Quants focus on assessing and managing financial risks using quantitative models within risk management teams. Quantitative Analysts, while similar, often have a broader role in developing models for trading, investment strategies, or financial analysis. Both roles require strong quantitative skills and relevant certifications, but their primary focus and work environments differ slightly.

What jobs pay 500,000 a year?

Full Time Risk Quants in finance and investment banking are among the roles that can reach or exceed a $500,000 annual salary, especially with bonuses and profit sharing. These positions typically require advanced quantitative skills, experience, and often a master's or PhD in a related field, working in high-pressure environments with long hours. Other high-paying roles include senior executives and specialized professionals in technology or law, but risk quant roles are notable for their compensation potential in finance.
What are the most commonly searched types of Risk Quant jobs in New York? The most popular types of Risk Quant jobs in New York are:
What are popular job titles related to Full Time Risk Quant jobs in New York? For Full Time Risk Quant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Full Time Risk Quant jobs in New York look for? The top searched job categories for Full Time Risk Quant jobs in New York are:
What cities in New York are hiring for Full Time Risk Quant jobs? Cities in New York with the most Full Time Risk Quant job openings:
Full Time Risk Quant jobs near you
Infographic showing various Full Time Risk Quant job openings in New York as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution.

New Grad Full-Time Quantitative Developer

WallStreetQuants

New York, NY • On-site

Full-time

Posted 7 days ago

Job description

About the Role
An NYC based proprietary trading firm is seeking a motivated and intellectually curious New Grad Quantitative Developer to join the team full time. This role is designed for recent graduates from all degree backgrounds who have strong programming skills, analytical ability, and an interest in building technology for financial markets.
As a Quantitative Developer, you will work at the intersection of software engineering, quantitative research, and trading. You will help design, build, and improve the systems, tools, and infrastructure that support data analysis, trading strategies, risk management, and real-time decision-making.
This is an excellent opportunity for a new graduate who enjoys solving complex problems, writing high-quality code, learning quickly, and working in a fast-paced, collaborative environment.
Requirements
Responsibilities
  • Design, develop, test, and maintain software tools used by traders, researchers, and engineers.
  • Build systems for market data processing, strategy research, simulation, backtesting, and trade execution.
  • Work with large datasets to support quantitative analysis and trading decisions.
  • Collaborate with quantitative researchers and traders to translate ideas into reliable production systems.
  • Improve the performance, scalability, reliability, and usability of internal platforms.
  • Develop dashboards, analytics tools, APIs, and automation workflows.
  • Debug and optimize code used in research and trading environments.
  • Learn about financial markets, trading workflows, market data, and risk management.
  • Contribute to code reviews, technical design discussions, and engineering best practices.
Qualifications
  • Recent graduate or upcoming graduate from a Bachelor's, Master's, PhD, or equivalent program.
  • Open to candidates from all degree disciplines.
  • Strong programming ability in at least one language such as Python, C++, Java, C#, Go, Rust, or JavaScript/TypeScript.
  • Solid problem-solving, analytical, and logical reasoning skills.
  • Ability to learn new technologies, tools, and financial concepts quickly.
  • Strong attention to detail and commitment to writing clean, reliable, and maintainable code.
  • Effective communication skills and the ability to work well in a collaborative team environment.
  • Interest in financial markets, quantitative systems, trading technology, or data-driven decision-making.
Preferred Qualifications
  • Experience with algorithms, data structures, systems programming, databases, distributed systems, or cloud infrastructure.
  • Coursework, projects, internships, or independent work involving software engineering, data science, machine learning, statistics, simulations, or quantitative analysis.
  • Familiarity with Linux, Git, SQL, APIs, or real-time systems.
  • Experience working with large datasets, time-series data, or performance-sensitive applications.
  • Participation in programming competitions, hackathons, open-source projects, research projects, or technical clubs.
  • Exposure to financial instruments, trading systems, market data, or risk analytics is helpful but not required.

Benefits
What We Offer
  • Full-time role designed for new graduates.
  • Training and mentorship from experienced engineers, traders, and quantitative researchers.
  • Opportunity to work on impactful systems used in real-time trading and research.
  • Exposure to financial markets, quantitative strategy development, and trading infrastructure.
  • A collaborative, intellectually rigorous environment where strong ideas are valued.
  • Early ownership of meaningful technical projects.
  • Competitive compensation and benefits.

Apply