Ellington Management Group, LLC logo

Vice President, Research

Ellington Management Group, LLC

NEW YORK, NYJob$200–205K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$200–205K/yr
Location
NEW YORK, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Ellington Management Group seeks a Vice President, Research to lead quantitative risk, valuation, and collateral modeling for structured finance, including mortgage-backed securities. The role develops AI/ML-enhanced systems and analytical tools, applies quantitative methods to investment decisions, and oversees research initiatives and team work. It also collaborates with investment and research stakeholders and supports technical communications with clients and prospective investors.

Skills & qualifications

RequiredNice to have

Skills

Quantitative Risk ModelingValuation ModelingCollateral ModelingStructured FinanceMortgage-Backed SecuritiesIntexOAS ModelingStatistical ModelingEconometric ModelingFinancial Market AnalysisAsset Performance AnalysisFinancial Data AnalysisData IntegrationPythonC++Model ValidationModel GovernanceInvestment Strategy Solutions

Qualifications

Bachelor's in Quantitative Field2 Years Research Analyst or Related Experience

Full job description

Company: Ellington Management Group, LLCPosition: Vice President, ResearchLocation: 711 Third Avenue, 5th Floor, New York, NY 10017 Job Duties: Oversee the development, implementation, and enhancement of the firms quantitative risk, valuation, and collateral modeling infrastructure. Architect and lead the development of the firms collateral modeling framework, ensuring scalability, accuracy, and alignment with business and regulatory requirements. Develop, implement, and maintain quantitative models for structured finance products, including mortgage-backed securities, utilizing industry-standard tools such as Intex and related subroutines to generate OAS-based cashflow and valuation models. Lead the design and development of AI/ML-enhanced systems to monitor and optimize the profitability of loan origination and securitization activities. Lead the development of AI-enhanced analytical tools to support trading desk workflows and improve efficiency and decision-making. Ensure that all models adhere to established best practices, including appropriate documentation, validation, and governance standards. Review and evaluate modeling work produced by research team members to ensure consistency, accuracy, and adherence to quantitative and scientific standards. Apply statistical, econometric, and quantitative techniques to analyze financial markets, model asset performance, and inform investment decisions. Assess and integrate internal and third-party market data into model calibration processes; evaluate external vendor data and incorporate such data into existing modeling frameworks as appropriate. Monitor and analyze market developments, regulatory guidance, and industry best practices related to financial modeling; review relevant academic and industry research. Collaborate with portfolio managers, traders, and senior research staff to identify business needs and develop quantitative solutions to support investment strategies. Coordinate and oversee the implementation of research initiatives and modeling enhancements across the research team. Prepare and review technical materials and analyses for internal stakeholders and external parties, including clients and prospective investors. Assist in responding to technical inquiries from clients and prospective investors in coordination with senior management and investor relations. Participate in the recruitment and evaluation of research personnel, including conducting interviews, assessing candidate qualifications, and providing hiring recommendations.Minimum Requirements: Must have a Bachelors degree, or foreign equivalent, in Computer Science, Economics, Finance, or a closely related quantitative field. Must have 2 years of experience as a Research Analyst, Quantitative Analyst, or a related role. The 2 years of experience must include experience with: quantitative risk, valuation, and collateral modeling for structured finance products, including mortgage-backed securities and related instruments; Intex and Intex subroutines for constructing and analyzing OAS-based cashflow and valuation models; statistical, econometric, and quantitative modeling techniques for financial market and asset performance analysis; analysis of large-scale financial and market datasets, including integration of internal and third-party data sources into model calibration and validation processes; programming in Python, C++, or similar languages for model development, data analysis, and system implementation; model performance evaluation and application of modeling best practices, including documentation, validation, and governance standards; and design and implementation of quantitative solutions supporting investment strategies.Salary Range: $200,000 - $205,000/year.Apply online at: https://www.ellington.com/careers and search for Vice President, Research in New York, NY.

How this job compares

Set against the 4,876 open Researcher jobs on Olive Jobs, counted October 30, 2026.

Pay
  • This posting$200–205K/yr
  • New York median$80–101K/yr524 salary ranges
  • US median$100–149K/yr2,232 salary ranges

This range's midpoint, $203K, is 124% above the New York median midpoint ($90K) — in the top quarter of Researcher salary ranges in New York.

Openings
Olive Jobs lists 688 open Researcher jobs in New York and 4,876 across the US. 2% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 2 years of experience; Researcher postings that state a minimum ask for 4 years at the median (1,608 postings).
Education
This posting asks for a bachelor's degree; 3,301 of the 4,876 open Researcher jobs (68%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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