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Quantitative Risk Analyst Jobs in New York (NOW HIRING)

Quanta Search

Quantitative Risk Analyst

Manhattan, NY · On-site

Quantitative Risk Analysts perform research to identify opportunities for improved risk management, investment behavior, and portfolio construction, with the goal of helping the firm deliver superior ...

DTCC

Quantitative Risk Senior Associate

Jersey City, NJ · On-site

QRM also carries out quantitative analysis and other analytical support to firms' risk management and other business needs. Quantitative Risk Management (QRM) is responsible for the development and ...

RQD * Clearing LLC

Junior Margin/Risk Analyst

New York, NY · On-site +1

$75K - $125K/yr

Conduct regulatory compliance reviews and reporting. * Assist with quantitative risk assessments ... Excellent analytical skills with strong attention to detail; familiarity with Excel, VBA, SQL a ...

ITnova

Project Risk Specialist (Construction)

New York, NY · On-site

$107K/yr

Proven experience facilitating risk assessment workshops, conducting qualitative and quantitative risk analyses, and preparing formal risk assessment reports. * Hands-on experience using: * Lumivero ...

ITnova

Project Risk Specialist (Construction)

New York, NY · On-site

$107K/yr

Proven experience facilitating risk assessment workshops, conducting qualitative and quantitative risk analyses, and preparing formal risk assessment reports. * Hands-on experience using: * Lumivero ...

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Quantitative Risk Analyst information

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$61.8K

$146.5K

$262.6K

How much do quantitative risk analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for quantitative risk 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 are some common challenges a Quantitative Risk Analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.
What are the most commonly searched types of Quantitative Risk Analyst jobs in New York? The most popular types of Quantitative Risk Analyst jobs in New York are:
What are popular job titles related to Quantitative Risk Analyst jobs in New York? For Quantitative Risk Analyst jobs in New York, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in New York look for? The top searched job categories for Quantitative Risk Analyst jobs in New York are:
What cities in New York are hiring for Quantitative Risk Analyst jobs? Cities in New York with the most Quantitative Risk Analyst job openings:
Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in New York as of June 2026, with employment types broken down into 4% As Needed, 78% Full Time, 9% Part Time, 5% Temporary, 3% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $146,466 per year, or $70.4 per hour.

Quantitative Risk Analyst

Quanta Search

Manhattan, NY

Other

Posted 17 days ago

Job description

Our client, a global Asset Management Firm, is seeking a Quantitative Risk Analyst to join its Risk & Quantitative Research team.
The RQR team plays a vital role in the Firm's investment process, building a deeply rooted culture of efficient risk management and factful performance attribution. Quantitative Risk Analysts perform research to identify opportunities for improved risk management, investment behavior, and portfolio construction, with the goal of helping the firm deliver superior risk-adjusted performance.The paramount mission of the team is to protect the Firm from improper levels of exposure and ensure that risk-taking is always efficient and deliberate.
The ideal candidate is an intelligent and creative problem solver who can articulate one's ideas effectively to a diverse audience in a fast-paced environment. Experience in quantitative investment research is a plus. We are looking for a candidate who is well-versed in volatility strategies and has a reasonable understanding of equity derivative modeling, such as calibration of implied volatility from market data, fitting implied volatility surfaces after calibration, and performing stress-test analysis on Greeks of volatility strategies.
The Quantitative Risk Analyst will:
  • Analyze portfolios and strategies to understand the drivers of performance and develop reports that summarize the risk profiles and to facilitate efficient risk management as well as improve understanding of portfolio construction and investment behavior.
  • Help design and improve stress testing, Value at Risk and various limit frameworks for portfolios of diverse products and strategies.
  • Evaluate and validate price and risk models to ensure the soundness and correct application of the models.
  • Conduct research to develop innovative risk management approaches, tools, and analytics to helpimprove performance and better manage risk and deliver those research findings to senior management.
  • Work with Risk Managers and developers on the design and development of risk management and infrastructure.
  • Analyze large structured and unstructured datasets, such as internal trade/market data, and running numerical simulations and statistical analysis.

We seek candidates with:
  • Undergraduate or higher degree in a quantitative discipline
  • 5+ years of work experience in a quantitative research, trading or risk management capacity related to equity options portfolios and volatility trading
  • Strong background in statistics, math, and econometrics
  • High level of proficiency in SQL and quantitative programming (Python, MATLAB, R)
  • The ability to manage multiple tasks and deadlines independently in a fast-paced environment
  • Ability to proactively seek new ideas and solution to improve the status quo
  • Strong work ethic - reliable and accountable, good attention to detail
  • Strong communication skills, with the ability to communicate clearly and concisely both verbally and in writing
  • Ability to work cooperatively with all levels of staff as part of a team
  • A commitment to the highest ethical standards and to act with professionalism and integrity

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