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Quantitative Analyst - Counterparty Credit Risk Development, VP
full-timeNew York$175k - $250k

Summary

Location

New York

Salary

$175k - $250k

Type

full-time

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About this role

The Counterparty Credit Risk Quant Development Team, a key group within Markets Quantitative Analysis Organization, is responsible for developing cutting-edge analytical models for derivatives risk and exposure calculations Firm-wide. The scope of this demanding role extends from the research into the mathematical derivation of advanced quantitative models, through meticulous coding, rigorous testing, comprehensive documentation for formal validation and approval, and ultimately to delivering these models for seamless incorporation into the Firm's internal and regulatory risk management processes.

Responsibilities:

  • Leading the development and maintenance of in-house C++ and Python model libraries.
  • Pioneering advancements in the quantitative toolbox through the development of new technologies, algorithms, and numerical techniques.
  • Driving significant efficiency improvements and optimization within the analytical libraries.
  • Collaborating extensively with IT teams to integrate complex analytic libraries into production systems.
  • Overseeing the development and maintenance of critical quant infrastructure, databases, and productivity tools.
  • Providing expert support for the build, rigorous testing, and release management of the model libraries.
  • Engaging actively in Regulatory and Governance-based projects, particularly those related to Counterparty Credit Risk (CCR) such as Basel IMM, PFE, CVA, and RWA calculations, across a range of asset classes.
  • Performing in-depth data analysis and producing comprehensive regular reports.

Required Skills:

  • Demonstrable expertise and a proven track record in developing and supporting analytics libraries for the pricing, risk, and exposure calculation of complex financial derivatives.
  • Strong preference for candidates with extensive experience in Equity derivatives pricing, including familiarity with advanced concepts such as stochastic volatility models, variance swaps, correlation products, and exotic structures.
  • Deep familiarity with Counterparty Credit Risk (CCR) calculations, including Basel IMM, Potential Future Exposure (PFE), EPE, EAD, and CVA methodologies.
  • Previous experience working on other Regulatory based projects such as Model Risk, Basel III, Stress Testing, FRTB, and CCAR is highly advantageous.
  • Solid mathematical finance and advanced statistical analysis skills.
  • Profound knowledge of probability theory and stochastic calculus.
  • Extensive familiarity with Numerical Analysis and Monte-Carlo methods.
  • Proven experience developing robust software for Windows and Linux environments.
  • Excellent command of scripting using UNIX Shell (ksh, bash, etc.), Python, and VBA.
  • Knowledge of Relational Databases (e.g., Mongo) is a plus.
  • Knowledge/experience with Machine Learning Tools and Frameworks (e.g., scikit-learn, PyTorch) is a plus.
  • Exceptional command of programming using modern C++ and Python.
  • Outstanding analytical and complex problem-solving skills.
  • A thorough and detailed approach, with an unwavering commitment to accuracy, is essential.
  • Ability to strictly follow procedures and operate within stringent guidelines.
  • Excellent verbal and written English communication skills.
  • Strong ability to take ownership and proactively follow up on issues through to resolution.
  • Demonstrated ability to work effectively in a team-oriented environment and to perform well under pressure.

Education:

  • Bachelor’s/University degree, Master’s degree preferred


This job description provides a high-level review of the types of work performed. 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:

Feb 04, 2026

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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.

Other facts

Tech stack
C++,Python,Quantitative Analysis,Counterparty Credit Risk,Equity Derivatives,Stochastic Volatility Models,Variance Swaps,Monte-Carlo Methods,Statistical Analysis,Numerical Analysis,Regulatory Compliance,Data Analysis,Machine Learning,VBA,UNIX Shell Scripting,Relational Databases

About Citi

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have over 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.

For information on Citi’s commitment to privacy, visit on.citi/privacy.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Financial Services
Founding Year: 1812

What you'll do

  • The role involves leading the development and maintenance of in-house C++ and Python model libraries, as well as collaborating with IT teams to integrate complex analytic libraries into production systems. Additionally, the candidate will engage in regulatory projects related to Counterparty Credit Risk and perform in-depth data analysis.

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Frequently Asked Questions

What does Citi pay for a Quantitative Analyst - Counterparty Credit Risk Development, VP?

Citi offers a competitive compensation package for the Quantitative Analyst - Counterparty Credit Risk Development, VP role. The salary range is USD 175k - 250k per year. Apply through Clera to learn more about the full compensation details.

What does a Quantitative Analyst - Counterparty Credit Risk Development, VP do at Citi?

As a Quantitative Analyst - Counterparty Credit Risk Development, VP at Citi, you will: the role involves leading the development and maintenance of in-house C++ and Python model libraries, as well as collaborating with IT teams to integrate complex analytic libraries into production systems. Additionally, the candidate will engage in regulatory projects related to Counterparty Credit Risk and perform in-depth data analysis..

Why join Citi as a Quantitative Analyst - Counterparty Credit Risk Development, VP?

Citi is a leading Financial Services company. The Quantitative Analyst - Counterparty Credit Risk Development, VP role offers competitive compensation.

Is the Quantitative Analyst - Counterparty Credit Risk Development, VP position at Citi remote?

The Quantitative Analyst - Counterparty Credit Risk Development, VP position at Citi is based in New York, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Quantitative Analyst - Counterparty Credit Risk Development, VP position at Citi?

You can apply for the Quantitative Analyst - Counterparty Credit Risk Development, VP position at Citi directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Citi on their website.