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Financial Mathematics Jobs (NOW HIRING)

Covista

Mathematics Faculty (remote/part-time)

MATH105 - Contemporary Mathematics - This introductory course focuses on topics such as sets, financial mathematics, probability and statistics with appropriate applications. This course will include ...

Covista

Mathematics Faculty (remote/part-time)

MATH105 - Contemporary Mathematics - This introductory course focuses on topics such as sets, financial mathematics, probability and statistics with appropriate applications. This course will include ...

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$31.5K

$71.6K

$115K

How much do financial mathematics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for financial mathematics in the United States is $71,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $92,000.00 per year, depending on experience, location, and employer.

What does a financial mathematician do?

A financial mathematician analyzes financial data and develops mathematical models to assess risk, price derivatives, and optimize investment strategies. They often use tools like calculus, statistics, and programming languages such as Python or R, and may work in finance, banking, or investment firms. Strong quantitative skills and knowledge of financial markets are essential for this role.

What is the highest paying job in mathematics?

In the field of financial mathematics, quantitative analysts, often called quants, tend to have the highest salaries, especially in investment banks and hedge funds. These roles require advanced skills in mathematical modeling, programming, and financial theory, and they often offer six-figure salaries plus bonuses. Senior roles such as chief risk officers or quantitative research directors also command high compensation in finance-related mathematics careers.

What are the key skills and qualifications needed to thrive in the Financial Mathematics position, and why are they important?

To thrive in Financial Mathematics, you should possess strong quantitative, analytical, and problem-solving skills, typically supported by an advanced degree in mathematics, finance, statistics, or a related field. You should be proficient in tools such as Python, R, MATLAB, or specialized financial modeling software, and having certifications like CFA or FRM is highly valued. Strong communication, attention to detail, and effective teamwork are crucial soft skills for translating complex analyses to stakeholders. These qualifications enable you to accurately assess financial risks and opportunities, supporting sound decision-making in fast-paced financial environments.

What is a Financial Mathematics job?

A Financial Mathematics job involves applying mathematical models and techniques to analyze financial markets, manage risk, and optimize investment strategies. Professionals in this field work in areas such as quantitative finance, risk management, and financial engineering. They use statistical methods, programming, and mathematical modeling to solve complex financial problems. Typical employers include banks, investment firms, insurance companies, and financial technology (fintech) companies. Strong analytical skills and proficiency in mathematical tools like calculus, probability, and stochastic processes are essential.

What are the typical career advancement opportunities for professionals working in Financial Mathematics?

Financial Mathematics professionals often start in analyst or quantitative roles and can progress to more senior positions such as quantitative strategist, risk manager, or head of quantitative research. With experience and continued education, there are opportunities to move into leadership positions, manage larger teams, or transition into specialized areas such as portfolio management or algorithmic trading. Professional growth is supported by gaining further certifications, taking on complex projects, and building expertise in niche markets or emerging financial technologies. Many employers also encourage ongoing development through mentoring, training programs, and cross-departmental collaboration.

What jobs can you get with financial mathematics?

With a background in financial mathematics, common jobs include financial analyst, quantitative analyst, risk manager, actuary, and investment analyst. These roles often require strong skills in mathematics, statistics, and programming, and may involve working with financial models, data analysis, and forecasting in banking, insurance, or investment firms.

What can you do with a financial math degree?

A financial mathematics degree prepares individuals for roles such as financial analyst, risk manager, quantitative analyst, or actuary. These positions involve applying mathematical models, statistical techniques, and financial theories to analyze markets, assess risk, and support decision-making in finance and insurance industries. Proficiency in programming tools like Excel, R, or Python is often required, along with strong analytical skills.
More about Financial Mathematics jobs
What cities are hiring for Financial Mathematics jobs? Cities with the most Financial Mathematics job openings:
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What states have the most Financial Mathematics jobs? States with the most job openings for Financial Mathematics jobs include:
What job categories do people searching Financial Mathematics jobs look for? The top searched job categories for Financial Mathematics jobs are:
Financial Mathematics jobs near you
Infographic showing various Financial Mathematics job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $71,627 per year, or $34.4 per hour.

Adjunct Instructor in Computer Science and Data Science (Immediate Appointment) - Tampa

StepStone

Pinellas Park, FL • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We invite visionary PhD holders and MSc scholars in Computer Science, Applied Mathematics, Financial Mathematics, Statistics and Data Science, with practical teaching experience to join us at Schiller International University in shaping the future of experiential and project-based education. The instructor will have the opportunity not only to teach but also to lead a state-of-the-art Immersive Technology Lab, fostering collaboration among students, colleagues, industry partners, and researchers to redefine the engagement of Computer Science, Data Science and their applications.
Only candidates in Tampa will be consider for this position.


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