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Mortgage Quantitative Analyst, AVP

Citi Open
Hybrid New York New York United States Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Citi. New York New York United States · full-time · $109,120–$163,680 base.

SalaryStated by Citi
$109,120 – $163,680
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SeniorityMid-level
LocationNew York New York United States
WorkplaceHybrid
EmploymentFull-time
Base pay$109,120–$163,680
PostedNov 2, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and test pricing and risk models for residential mortgage-backed securities and their underlying pools
  • Use statistical and machine-learning methods to forecast mortgage prepayments, defaults and related credit measures
  • Analyze large mortgage datasets to uncover patterns that can inform trades and develop desk-facing tools and reports
  • Work with trading, risk, technology and model review teams to support mortgage analytics

What you bring

  • You have one to three years building forecasts or prepayment and default models for pricing or RMBS risk
  • A master's or doctorate in a quantitative discipline such as mathematics, computer science or engineering
  • You bring expert programming ability, including Python, C++, SQL and machine-learning frameworks
  • You have supported trading or F&S desks and worked with mortgage databases or cash-flow analytics tools

Who this fits

This AVP role suits a quantitative modeler who can support trading activity and explain technical findings to senior stakeholders. The position is based in New York City and described as hybrid.

From the employer

Job Description

We are seeking Quantitative Analyst (AVP) to join our Markets Quantitative Analysis team in New York City. This is a impactful role for an individual with expertise in RMBS securitized products and/or whole loans quantitative modeling. You will be responsible for driving the application of advanced analytics and machine learning within the securitized products business. You will collaborate closely with the trading desk. You will be expected to generate insightful data analysis and trade ideas, build sophisticated models, and harness enormous datasets for in-depth analysis of RMBS securities. You will build and deploy models and analytics using Python, SQL, and C++ with a strong emphasis on leveraging AI and ML tools.

Responsibilities:

  • Lead the development, implementation, and validation of sophisticated models to price and assess risk on RMBS pools/securities.
  • Apply advanced statistical and ML modeling to project prepayment, default rates, and other credit-related metrics, and to identify complex, actionable patterns within large financial datasets
  • Directly support trading desk and F&S business by developing data analysis tools and reports.
  • Collaborate with other groups including risk management, technology, and the model validation group.


Ideal Candidate:

  • 1-3 years of experience developing forecasting models and/or prepayment and default models for pricing and risk management for RMBS securities.
  • Experience working directly with trading and F&S desks and providing analytical support for various trading activities.
  • Experience working with various mortgage databases such as eMBS, McDash, LoanPerformance and Fannie/Freddie Credit Risk transfer, and the ability to develop data analysis tools and reports.
  • Expertise with cashflow analytics tools such as Yield Book, Bloomberg and Intex.
  • Significant, expert-level experience in programming including Python, C++, SQL, machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Possesses excellent communication skills, with the ability to explain complex quantitative concepts to senior stakeholders.

Education

  • Graduate degree (Masters or PhD) in Computer Science, Mathematics, Physics, Engineering, or another quantitative field.

Other job-related duties may be assigned as required.

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Job Family Group:

Risk Management

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Job Family:

Model Development and Analytics

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Time Type:

Full time

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Primary Location:

New York New York United States

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Primary Location Full Time Salary Range:

$109,120.00 - $163,680.00


In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Nov 09, 2026

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Automated Processing and AI


We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$100k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.