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Avp Quantitative Research Analyst Jobs (NOW HIRING)

PIMCO

Quantitative Research Analyst

Manhattan, NY · On-site

We are seeking a senior Quantitative Developer to join our Portfolio Management Analytics team in Newport Beach, CA. The team is responsible for the development and enhancement of our analytics ...

New York Times

Quantitative Strategy Analyst

Manhattan, NY · On-site

$132K/yr

... as a Quantitative Research Analyst, Statistician, or Quantitative Researcher; or a Ph.D. in a ... related field and one year of experience in the same role. Compensation: $132,371.00 per year. #J ...

Citadel

$4.5K - $5.8K/wk

Quantitative Researcher Analysts play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the ...

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Avp Quantitative Research Analyst information

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How much do avp quantitative research analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for avp quantitative research analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Avp Quantitative Research Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Research Analyst - Office of Clearance and Settlement

Manhattan, NY • On-site

Risk Professionals, Inc.
See more jobs at Risk Professionals, Inc.external

Other

Posted 22 days ago

Job description

The Office of Clearance and Settlement (OCS) within Division of Examinations is seeking a Quantitative Research Analyst (Financial Engineer), SK-1501-14 in various locations. The Quantitative Research Analyst will be responsible for analyzing complex and quantitatively driven risk management areas such as margin systems, liquidity, default management, and model risk management.

Duties

In this role as a Quantitative Research Analyst, you will be responsible for:

  • Communicating highly technical concepts and issues, including model parameters, to non-technical audiences in an examination context;
  • Analyzing large volumes of quantitative and qualitative data from different sources for examining the effectiveness of backtesting and stress testing;
  • Serving as a risk management analyst performing a wide range of independent analysis of mathematical and risk systems and processes;
  • Performing examinations to determine compliance to policy and procedure of the designing and building of key quantitative systems, including margin models and clearance and settlement systems;
  • Developing and presenting authoritative analysis and reports resulting from examinations of the quantitative models used in risk management of clearing agencies and other related entities;
  • Identifying deficiencies and areas that need improvement in quantitative models, including the empirical methodology and statistical inference used in these models; and
  • Providing on-going support for the twice-yearly risk assessment of complicated registrants that are significant clearing agencies for both US and international markets.
BASIC REQUIREMENT

Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

ORCombination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience.

MINIMUM QUALIFICATION REQUIREMENT: In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement

SK-14: Applicant must have at least one year of specialized experience equivalent to the GS/SK-13 level. Specialized experience includes the following:
  • Applying the theories, principles, and processes of quantitative research;
  • Interpreting financial and securities industry data;
  • Developing, maintaining, and/or validating models used for forecasting, valuation, instrument strategy selection, portfolio construction or risk management using modern software languages such as Python, R, C/C++/C#, kdb+/q in UNIX/Shell environments;
  • Manipulating large data sets to develop hands‑on programmatic applications of probability and statistics.
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