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Financial Mathematics Jobs (NOW HIRING)

MerQube Inc

Financial Engineer

New York, NY · On-site

Qualifications: - Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience. - Proficiency in ...

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How much do financial mathematics jobs pay per year?

As of Jul 2, 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 financial derivatives, and inform 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, typically earn the highest salaries, especially those working in investment banks, hedge funds, or proprietary trading firms. These roles require advanced skills in mathematical modeling, programming, and financial theory, and they often offer lucrative bonuses in addition to base pay.

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 quantitative analyst, risk manager, financial analyst, actuary, and investment analyst. These roles often require strong skills in mathematics, statistics, and programming, and may involve using tools like Excel, R, or Python. Certifications such as CFA or FRM can enhance job prospects in this field.

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 analyzing financial data, developing models, and using tools like Excel and programming languages such as Python or R. The degree provides a strong foundation in mathematics, finance, and statistics essential for these careers.
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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 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $71,627 per year, or $34.4 per hour.
Director, Electronic Trading Products

Director, Electronic Trading Products

Fidelity Investments

Boston, MA • On-site

$170K - $185K/yr

Full-time

Posted 23 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description


Position Description:
Drives the improvements of systematic trading algorithms to realize low market impact, low cost, and ensure the best execution. Optimizes the implicit and explicit cost of trading decisions based on periodic performance monitoring and review. Merges systematic trading and analytics products and creates platforms that clients can use to navigate and execute in an increasingly complex market. Leads the creation of Cloud platforms to provide real-time and historical Data-as-a-Service (DaaS) to customers. Maintains and ensures the integrity of Transaction Cost Analysis (TCA) database and intelligent modules. Shapes next-generation tools and statistical analysis techniques to improve performance against clients' trading objectives.
Primary Responsibilities:
  • Works closely with clients to enhance their trading strategies, educate them on market structure and trading tools, and provide expert consultations to address their unique challenge.

  • Oversees multi-asset class research and product development across domestic and international equities, and options.

  • Demonstrates key performance indicators (KPIs) related to revenue and expense, driving the success of both trading strategies and client satisfaction.

  • Works with product developers, traders, clients, and software developers to deploy electronic trading products and financial services.

  • Investigates market signals, including price and volume prediction models.

  • Creates and supports analytical systems used for comprehensive post-trade performance measurement and attribution.

Education and Experience:
Bachelor's degree in Financial Mathematics, Applied Mathematics, Financial Engineering, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Director, Electronic Trading Products (or closely related occupation) building systems and solutions for financial investment or trading decisions, using R, Python, PL/SQL databases, and Artificial Intelligence (AI) and Machine Learning (ML) techniques.
Or, alternatively, Master's degree in Financial Mathematics, Applied Mathematics, Financial Engineering, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Director, Electronic Trading Products (or closely related occupation) building systems and solutions for financial investment or trading decisions, using R, Python, PL/SQL databases, and Artificial Intelligence (AI) and Machine Learning (ML) techniques.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing data analytics to improve trading products on Electronic Trading Platforms in a capital markets environments with a Broker Dealer or a Trading Technology Provider, on Regulation National Market System (Reg NMS) equity securities, using KDB+/Q and Python.

  • DE building quantitative models on trading data, including regression-based market impact and prediction models employing supervised and unsupervised optimization strategies, using Python or Q; modernizing and digitalizing platform products over Amazon Web Services (AWS) for electronic trading experience; reviewing order flow patterns on analytics platform, to tailor custom strategies and reduce trading costs for clients; and conducting A/B tests for hyperparameter tuning and functional enhancements in codebase.

  • DE working in KDB+ environment to transform and enrich structured and unstructured data for TCA and building purpose-built time-series databases for hypothesis-driven research for algorithmic trading; querying in Q for vectorized data wrangling with large datasets; generating advanced data visualizations and insight using Tableau and computational and plotting libraries in Python; and performing repository management and automation within a Linux environment, using GitHub.

  • DE providing actionable recommendations for optimizing liquidity access from exchanges, dark pools, dealers, and private rooms through trading algorithms and smart order routers (SOR); and assessing quality and quantity of liquidity provided in trading venues by evaluating normalized performance factors, including risk metrics, toxicity, and counterparty presence, using TCA Database with Python, R, or Q.

Salary: $170,000.00 - $185,000.00/year.
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Category:
Capital Markets Product
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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