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Mathematical Finance Jobs (NOW HIRING)

Model/Anlys/Valid Sr Analyst

New York, NY · On-site

$160K - $175K/yr

... mathematical finance, programming, statistics and probability. Apply knowledge of probability and stochastics to develop mathematical models for the pricing of interest rate derivatives which are ...

Major in financial engineering or mathematical finance is a plus. * Strong analytical and problem-solving skills, as well as strong verbal and written communication skills * Progress towards CFA ...

Bachelor's degree in Mathematics, Finance, Accounting or the equivalent. * Minimum of 3-5 years' experience preparing/analyzing financial statements, budgeting, forecasting and month-end reporting ...

PhD or Master's degree in Finance, Financial Engineering, Mathematical Finance, Economics, Mathematics, Statistics, Physics, Data Science, Engineering, Computer Science or a related quantitative ...

Bachelor's degree in Computer Science, Data Science, Mathematics, Finance, Economics, or closely related quantitative field Preferred Skills and Experience * Experience supporting or exposure to ...

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Mathematical Finance information

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$30.5K

$70.4K

$138K

How much do mathematical finance jobs pay per year?

As of Aug 17, 2026, the average yearly pay for mathematical finance in the United States is $70,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $77,000.00 per year, depending on experience, location, and employer.

What is mathematical finance?

Mathematical finance is a field that applies mathematical methods and models to solve problems in finance, such as pricing financial derivatives, managing risk, and optimizing investment strategies. It combines concepts from mathematics, statistics, finance, and economics to analyze financial markets and securities. Professionals in this field often use advanced quantitative techniques to develop pricing models, assess risk, and design complex financial products. Mathematical finance is essential in areas like investment banking, asset management, and risk management.

What are the key skills and qualifications needed to thrive as a mathematical finance professional?

To thrive in Mathematical Finance, you need a solid background in mathematics, statistics, finance, and typically a degree in a quantitative field such as mathematics, physics, or financial engineering. Proficiency with programming languages like Python, R, or MATLAB, and familiarity with financial modeling software and risk management systems, is highly valued. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly set top professionals apart. These skills are crucial for developing sophisticated financial models, managing risk, and making informed decisions in the fast-paced financial sector.

What are some common challenges faced by professionals working in mathematical finance, and how can they prepare to address them?

Professionals in mathematical finance often encounter challenges such as interpreting complex financial models, keeping up with rapidly evolving quantitative techniques, and ensuring regulatory compliance. They must also effectively communicate technical findings to non-technical stakeholders, which can be demanding. To address these challenges, it's important to stay current with industry trends, continuously develop programming and analytical skills, and build strong collaborative relationships within multidisciplinary teams. Regular training and participation in professional networks can also be valuable for ongoing growth.

What is the difference between Mathematical Finance vs Quantitative Analyst?

AspectMathematical FinanceQuantitative Analyst
Required CredentialsAdvanced degrees in mathematics, finance, or related fields; certifications like CFA or FRMSimilar credentials; often holds advanced degrees and certifications
Work EnvironmentFinancial institutions, hedge funds, investment banksFinancial firms, asset management companies, trading desks
Industry UsageFocuses on developing models for pricing, risk management, and investment strategiesApplies quantitative methods to analyze markets, develop trading algorithms, and optimize portfolios

Mathematical Finance and Quantitative Analysts share similar educational backgrounds and work environments. While Mathematical Finance emphasizes model development for pricing and risk, Quantitative Analysts focus on applying these models to market analysis and trading strategies. Both roles are integral to financial institutions and often overlap in skills and responsibilities.

What are mathematical finance jobs?

Mathematical finance jobs involve applying mathematical models and quantitative techniques to analyze financial markets, manage risk, and develop trading strategies. Common roles include quantitative analyst, risk manager, and financial engineer, often requiring skills in programming, statistics, and financial theory. These positions are typically found in banks, hedge funds, asset management firms, and financial technology companies.

What can I do with a mathematical finance degree?

A mathematical finance degree prepares individuals for roles such as quantitative analyst, risk manager, financial engineer, or trader in banking, investment firms, or hedge funds. It involves skills in mathematics, programming, and financial modeling, often requiring proficiency in tools like Excel, Python, or MATLAB. Graduates can also pursue certifications like CFA or FRM to enhance career prospects.

What jobs can you get with mathematical finance?

With a background in mathematical finance, common jobs include quantitative analyst, risk manager, financial engineer, derivatives trader, and portfolio manager. These roles typically require strong skills in mathematics, programming, and financial modeling, often using tools like Excel, Python, or MATLAB.
More about Mathematical Finance jobs

What cities are hiring for Mathematical Finance jobs?

Cities with the most Mathematical Finance job openings:

What states have the most Mathematical Finance jobs?

States with the most job openings for Mathematical Finance jobs include:

Infographic showing various Mathematical Finance job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $70,370 per year, or $33.8 per hour.

Model/Anlys/Valid Sr Analyst

Citigroup, Inc.

New York, NY • On-site

$160K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks


Job description

Citigroup Global Markets Inc. seeks a Model/Analysis/Valid Sr Analyst for its New York, New York location.
Duties: Provide training to junior quantitative analysts on model methods and techniques used to develop, maintain and improve financial models used for the pricing of exotic interest rate derivatives. Collaborate and interface with Traders, Structurers, and technology professionals. Create, implement and support quantitative models for the trading business leveraging mathematical and computer science methods and tools including hardware acceleration, advanced calculus, C++, C#, .NET, object-oriented software design, Python, SQL, mathematical finance, programming, statistics and probability. Apply knowledge of probability and stochastics to develop mathematical models for the pricing of interest rate derivatives which are suitable for daily risk management. Work with trading function to risk manage the portfolio of interest rate derivatives and respond to new client requests. Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers. Work with control functions including Legal, Compliance, Market and Credit Risk, Audit, Finance to ensure appropriate governance and control infrastructure. Coordinate with risk and control functions to test and document performance of interest rate derivative models. Contribute to a culture of responsible finance, good governance, expense discipline and ethics. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.
Requirements: Requires a Master's degree or foreign equivalent in Quantitative & Computational Finance, Financial Engineering or related field and 3 years of experience as a Quantitative Analyst or related position involving derivative pricing model development and risk management support in a global financial services institution. 3 years of experience must include: Derivative pricing models development using C++; Probability and stochastics including Measure Theory; Interest rate modelling; Exotic derivative products; Monte Carlo Methods and partial differential equation solvers; Stochastic calculus; and Python programming. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26972170. EO Employer.
Wage Range: $160,000 to $175,000
Job Family Group: Risk Management
Job Family: Model Development and Analytics
Job Family Group:
Job Family:
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 28, 2026
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
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.

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US