Citi

Citi

Posted via Workday

Mortgage Quantitative Analyst, VP

Apply by Oct 22, 2026

Posted Sep 4, 2026

Role at a glance

Job function
Investments & Capital Markets Investment Risk, Compliance & Due Diligence
Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
New York New York United States, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
Senior Level 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.

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Role Summary

AI-generated

The VP Quantitative Analyst joins the Markets Quantitative Analysis team in New York, focusing on RMBS, ABS, and whole-loan quantitative modeling. The role applies advanced analytics and machine learning to securitized products, builds and deploys models and analytics, and supports the trading desk.

What You'll Do

  • Lead development, implementation, and validation of models to price and assess risk on RMBS and ABS securities.
  • Apply statistical and machine-learning models to project prepayments and defaults and identify actionable patterns in financial datasets.
  • Develop data-analysis tools and reports to support the trading desk and F&S business.
  • Collaborate with risk management, technology, and model validation groups.
  • Mentor, guide, and manage junior quants.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

The ideal candidate has 4–6 years of experience developing prepayment and default models for mortgage pricing and risk management; experience supporting trading and F&S desks and working with mortgage databases; expertise with Intex, Bloomberg, and Yield Book; expert-level C++, SQL, Python, and machine-learning framework experience; and strong communication skills for explaining quantitative concepts to senior stakeholders.

Original job description

Content provided by 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.

Citi

About the company

Citi

Large Enterprise

Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.