ZipRecruiter

Log In

1

Financial Math Jobs (NOW HIRING)

MerQube Inc

Financial Engineer

Manhattan, NY · On-site

$110K - $140K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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

MerQube Inc

Financial Engineer

New York, NY

$110K - $140K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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

previous page

Showing results 41-60

All JobsFinancial Math Jobs

Financial Math information

See salary details

$31.5K

$71.6K

$115K

How much do financial math jobs pay per year?

As of Aug 15, 2026, the average yearly pay for financial math 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 is financial math?

Financial math, also known as financial mathematics or quantitative finance, is the study of mathematical methods and models used to solve problems in finance. This field applies concepts from probability, statistics, and calculus to analyze financial markets, price financial instruments such as stocks and derivatives, and manage risk. Professionals in financial math work in areas like investment banking, risk management, and financial engineering, helping organizations make data-driven decisions. A solid background in mathematics, finance, and computer programming is typically required for success in this field.

What are financial mathematics jobs?

Financial mathematics jobs involve applying mathematical models and quantitative techniques to analyze financial markets, manage risk, and develop investment strategies. Common roles include quantitative analyst, risk analyst, financial engineer, and actuary, often requiring skills in programming, statistics, and financial theory.

How much do financial mathematicians make?

Financial mathematicians typically earn a median annual salary of around $100,000 to $130,000, with higher earnings possible for those with advanced degrees, specialized skills, or experience in quantitative analysis. Salaries can vary based on industry, location, and level of expertise, and many roles require proficiency in programming and statistical tools.

What is the difference between Financial Math vs Quantitative Analyst?

AspectFinancial MathQuantitative Analyst
Required CredentialsDegree in Mathematics, Finance, or related field; often certifications like CFA or FRMDegree in Mathematics, Finance, or related field; often certifications like CFA or FRM
Work EnvironmentFinancial institutions, investment firms, risk management departmentsInvestment banks, hedge funds, asset management firms
Industry UsageUsed for risk modeling, financial product development, quantitative researchUsed for trading strategies, risk assessment, financial modeling

Financial Math and Quantitative Analyst roles share similar educational backgrounds and certifications, often working in financial institutions. However, Financial Math focuses more on developing mathematical models for risk and pricing, while Quantitative Analysts typically engage in trading strategies and financial analysis. Both roles are integral to the finance industry but serve different primary functions.

What does a financial mathematician do?

A financial mathematician applies mathematical models and quantitative techniques to analyze financial markets, assess risk, and develop investment strategies. They often work with tools like calculus, statistics, and programming languages such as Python or R, typically in finance, banking, or investment firms. Strong analytical skills and knowledge of financial theories are essential for this role.

What are the key skills and qualifications needed to thrive in a financial math role?

Excelling in a Financial Math role requires a strong background in mathematics, statistics, finance, and typically a relevant degree such as finance, mathematics, or economics. Familiarity with financial modeling tools, programming languages like Python or R, and software such as Excel or MATLAB is commonly expected. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills that distinguish top performers. These competencies enable professionals to analyze complex financial data, model risk, and provide actionable insights for sound financial decision-making.

What are the typical challenges faced by professionals working in financial math roles, and how can they be addressed?

Professionals in Financial Math often encounter challenges such as interpreting complex datasets, managing rapidly changing market conditions, and ensuring the accuracy of quantitative models. Staying current with financial regulations and advancements in modeling techniques is also essential. Addressing these challenges requires continuous learning, effective collaboration with cross-functional teams (like risk management and IT), and leveraging advanced analytical tools. Building strong communication skills is equally important, as conveying technical findings to non-technical stakeholders is a frequent part of the role.

What can you do with a financial math degree?

A financial math 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 data analysis essential for these careers.
More about Financial Math jobs

What cities are hiring for Financial Math jobs?

Cities with the most Financial Math job openings:

What states have the most Financial Math jobs?

States with the most job openings for Financial Math jobs include:

What job categories do people searching Financial Math jobs look for?

The top searched job categories for Financial Math jobs are:

Financial Math jobs near you
Infographic showing various Financial Math job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $71,627 per year, or $34.4 per hour.

Financial Engineer

MerQube Inc

Manhattan, NY • On-site

$110K - $140K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 days ago

Job description

MerQube is an innovative fintech firm, leading the development of cutting-edge technology for indexing and rules-based investing. MerQube offers design and calculation solutions for complex rules-based strategies. Launched in 2019 in New York and San Francisco by a team of index industry veterans and technology experts, MerQube was created to provide a technology focused alternative.
MerQube designs and calculates a wide variety of indices, ranging from thematic to ESG, QIS and delta one, while covering multi-asset, equities, futures as well as options. Leveraging cloud-based architecture and today's most advanced index-tracking technology, MerQube's platform enables its clients to bring ideas to market quickly and efficiently.
Position Overview:
We are seeking a highly skilled and motivated Financial Engineer to join our team in Manhattan, New York. Reporting to the Financial Engineering Manager, you will play a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies primarily focused on options.
Key Responsibilities:
  • Develop, model, and backtest new index strategies using Python, with a focus on financial data management.
  • Collaborate with the Financial Engineering team to create MerQube branded financial engines and indexing strategies for major financial institutions.
  • Interface directly with clients and the platform engineering team, automating processes for daily and historical calculations to construct powerful financial engines.
  • Utilize advanced programming skills, especially in Python, to implement distributed systems and adhere to general software engineering principles.
  • Work with options data sets and applications such as FactSet, Reuters.

Qualifications:
  • Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience.
  • Proficiency in Python programming, with a focus on financial data management.
  • Strong options knowledge, including pricing, greeks, and portfolio applications is highly desirable.
  • Strong interest in financial markets and the intersection of software and quantitative finance.
  • Experience with financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra).
  • Excellent communication skills and the ability to collaborate effectively with both clients and internal teams.

Our Commitment:
At MerQube, we foster a collaborative, fast-moving environment where team members can grow and expand their technical, financial, and leadership skills. We prioritize wellness, work-life balance, and offer flexible working arrangements. We celebrate diversity and welcome team members from all backgrounds, encouraging continuous learning and career growth while playing a key role in transforming the financial industry.
Benefits:
  • Pay that matches your ambition: competitive compensation packages that grow with you
  • Benefits that actually have your back: top-tier medical, dental, vision, and more
  • Work where you work best: flexible arrangements, including hybrid options
  • A team that feels like home: we're building a community-first culture
  • Your wellbeing, prioritized: real investment in health, wellness, and work-life balance
  • Room to grow, fast: hands-on opportunities to learn, level up, and shape your career
  • Lunch is on us: enjoy paid office lunches, because great ideas flow better on a full stomach
  • Time to recharge: generous PTO, holidays, and sick time, because rest fuels great work

This role is based in New York, NY. In accordance with New York's pay transparency law, the annual base salary range for this position is $110,000-$140,000. Actual compensation within this range will be determined by factors such as experience, technical skills, and qualifications relevant to the role. This range reflects base salary only and does not include bonus, equity, or benefits.

Apply