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Associate Quantitative Risk Analyst Jobs in New York

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 ...

New

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 ...

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Associate Quantitative Risk Analyst information

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

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

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

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

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
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 Associate Quantitative Risk Analyst jobs in New York? For Associate Quantitative Risk Analyst jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Associate Quantitative Risk Analyst jobs? Cities in New York with the most Associate Quantitative Risk Analyst job openings:
Associate Quantitative Risk Analyst jobs near you
Infographic showing various Associate Quantitative Risk Analyst job openings in New York as of June 2026, with employment types broken down into 65% Full Time, 33% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.

Quantitative Risk Analyst

Quanta Search

Manhattan, NY

Other

Posted 14 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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