Quantitative Developer (VP)
Immigration summary
Visa sponsorship
This employer sponsors, but not for roles like this one.
1,272 recent H-1B filings
View visa evidenceGreen card sponsorship
This employer has recently sponsored green cards at scale.
273 recent certified PERM filings
View green card evidenceJob description
We are seeking an experienced Quantitative Developer to join our Markets Quantitative Analytics team, partnering closely with Quantitative Analysts, Traders, and Technology professionals to build the next generation of pricing, risk, and analytics platforms.
This is a hands-on technical role for a highly skilled software engineer with a passion for quantitative finance. You will be responsible for designing and delivering high-performance, scalable solutions that support front office trading businesses across asset classes. The role offers the opportunity to work on complex quantitative challenges, modern engineering practices, and large-scale distributed systems while helping shape the strategic direction of Citi's quantitative technology platform.
Successful candidates will combine strong software engineering expertise with an understanding of quantitative methodologies and financial markets, translating sophisticated mathematical models into robust, production-grade solutions.
Key Responsibilities
- Design, develop, and maintain high-performance pricing, risk, and analytics libraries used across Global Markets.
- Partner with Quantitative Analysts to transform research models and prototypes into scalable, production-quality software.
- Build and optimize quantitative applications using modern C++ and Python, applying strong software architecture and engineering principles.
- Own the full software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and ongoing support.
- Drive engineering excellence through CI/CD adoption, automated testing, code reviews, and software quality best practices.
- Develop and maintain market data platforms and data pipelines supporting analytics, pricing, and risk workflows.
- Work with infrastructure teams to leverage distributed computing, cloud technologies, and scalable architectures for large-scale calculations.
- Improve performance, reliability, and maintainability of existing quantitative systems through profiling, optimization, and refactoring.
- Contribute to technology strategy and architectural decisions across the quantitative development landscape.
- Collaborate with business, risk, compliance, and control functions to ensure robust governance and operational resilience.
What You'll Bring
Required Qualifications
- 6-10 years of experience in quantitative development, financial software engineering, or a related technical field.
- Strong programming experience in one or more of the following: C++, Python, C#/.NET, or Java.
- Deep understanding of software engineering fundamentals, including object-oriented design, design patterns, code quality, testing frameworks, and version control.
- Experience building and maintaining CI/CD pipelines and modern software delivery processes.
- Knowledge of numerical methods and quantitative techniques such as Monte Carlo simulation, linear algebra, optimization, or derivatives analytics.
- Experience working with market data systems, databases, and large-scale data processing environments.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Strong analytical and problem-solving skills with a focus on delivering business impact.
Preferred Qualifications
- Experience with modern C++ (C++17/20) and high-performance computing environments.
- Knowledge of kdb+/Q, SQL, and distributed data platforms.
- Experience with cloud technologies, containerization, and orchestration platforms such as Docker and Kubernetes.
- Understanding of financial products, derivatives, pricing models, and risk management concepts.
- Experience supporting front-office trading or quantitative research teams.
Education
- Master’s degree in Computer Science, Software Engineering, Mathematics, Physics, Engineering, or a related quantitative discipline.
Why Join Citi?
- Work directly with front-office trading and quantitative teams.
- Build business-critical pricing and risk systems used across global markets.
- Solve challenging problems involving large-scale data, distributed computing, and quantitative analytics.
- Influence the design and evolution of Citi's strategic quantitative technology platform.
- Join a collaborative environment that values engineering excellence, innovation, and continuous improvement.
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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 01, 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.
Sponsorship evidence
Why Openbound reached the conclusions above.
Visa sponsorship evidence
Current posting
Silent on sponsorship
Other openings
22 of 1780 recent openings at this employer state a sponsorship restriction.
Employer H-1B history
- 1,272
- recent certified H-1B filings
- 538
- new-hire petitions
- 0
- filings for similar roles
- 1,227
- so far in FY2026
More evidence details
- 1,272 recent certified H-1B filings across the employer
- Still filing this year — 1,227 filings in FY2026
- 518 USCIS H-1B new-employment approvals, counted separately from LCA filings
- Strong filing activity in NY
- 1,425 further USCIS approvals for extensions or transfers
- We checked 515 filing titles for this employer and none describe work like this role
- 22 other recent postings at this company state a sponsorship restriction
- The posting says nothing about sponsorship either way
Strong filing activity in NY.
Green card sponsorship evidence
Employer PERM history
- 273
- recent certified PERM filings
- 0
- filings for similar roles
- 70
- filings in this location
Filing history reflects past employer behavior; it isn't a promise for this opening.
All open roles at CitiHow Openbound evaluates sponsorship
Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.
An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 515 filing titles were examined for this employer.
What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.