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Mortgage Quantitative Analyst, VP

Citi Open · verified Oct 21, 2026
Hybrid New York New York United States Full-time VP Data Science

At a glance

VP-level Data Science role at Citi. New York New York United States · full-time · $175,000–$250,000 base.

SalaryStated by Citi
$175,000 – $250,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SeniorityVP
LocationNew York New York United States
WorkplaceHybrid
EmploymentFull-time
Base pay$175,000–$250,000
PostedOct 15, 2026 · 9d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Develop and validate pricing and risk models for RMBS and ABS securities
  • Forecast mortgage prepayments, defaults and other credit measures using statistical and machine-learning methods
  • Build desk-facing analysis tools and reports, and identify trade ideas in large financial datasets
  • Coordinate with risk, technology and model validation groups while guiding junior quants

What you bring

  • Four to six years building mortgage models that estimate prepayments and defaults for pricing and risk work
  • A master's or doctoral degree in a quantitative area such as computer science, mathematics or another listed field
  • Expert programming ability in C++, Python and SQL, plus work with machine-learning frameworks
  • Experience with mortgage databases and cashflow tools, including LoanPerformance, Intex or another listed tool

Who this fits

This VP role suits a mortgage quant who has supported trading and F&S desks and can explain quantitative ideas to senior stakeholders. You will manage and mentor junior quants, and the role is based in New York City.

From the employer

Job Description

We are seeking an experienced Quantitative Analyst (VP) to join our Markets Quantitative Analysis team in New York City. This is a senior role for an individual with deep expertise in RMBS securitized products and whole loans quantitative modeling. You will be responsible for driving the application of advanced analytics and machine learning within the securitized products business, as well as managing and mentoring junior quants. You will collaborate closely with the trading desk. You will be expected to generate impactful data analysis and trade ideas, build sophisticated models, and harness enormous datasets for in-depth analysis of RMBS/ABS securities. You will build and deploy models and analytics using C++, Python, and SQL, 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 and ABS 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.
  • Mentor, guide, and manage junior quants on the team, fostering their technical and professional growth.


Ideal Candidate:

  • 4-6 years of experience developing prepayment and default models for pricing and risk management for different mortgage types such as prime jumbo, Alt-A/Non-QM, RPL, CRT, etc.
  • Significant experience working directly with trading and F&S desks and providing analytical support for various trading activities.
  • Significant experience working with various mortgage databases such as LoanPerformance and Fannie/Freddie Credit Risk transfer, and the ability to develop data analysis tools and reports.
  • Expertise with cashflow analytics tools such as Intex, Bloomberg and Yield Book.
  • Significant, expert-level experience in programming including C++, SQL, and Python, 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:

Institutional Trading

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Job Family:

Quantitative Analysis

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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:

$175,000.00 - $250,000.00


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

Please see the requirements listed above.

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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:

Oct 22, 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$170k+

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.