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Stochastic Calculus Jobs (NOW HIRING)

Vice President

New York, NY ยท On-site

$165K - $220K/yr

Applying knowledge of mathematics, including stochastic calculus, statistics, probability, and linear algebra, in the context of modeling the credit risk factor with a hazard rate model; Applying ...

C# Software Engineer

Chicago, IL ยท On-site

$80K - $120K/yr

Strong foundation in advanced mathematics and statistics, including probability theory, stochastic calculus, numerical methods, and linear algebra * Experience with data analytic tools such as SQL ...

C# Software Engineer

Chicago, IL ยท On-site

$80K - $120K/yr

Strong foundation in advanced mathematics and statistics, including probability theory, stochastic calculus, numerical methods, and linear algebra * Experience with data analytic tools such as SQL ...

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Stochastic Calculus information

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How much do stochastic calculus jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for stochastic calculus in the United States is $25.08, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $28.61 per hour, depending on experience, location, and employer.

What are the common challenges faced by professionals working in stochastic calculus roles?

Professionals working with stochastic calculus often encounter challenges such as interpreting complex mathematical models, ensuring numerical stability in simulations, and translating theoretical results into practical applications. Given the abstract nature of stochastic processes, effective communication with colleagues from non-mathematical backgrounds can also be demanding. Additionally, staying up-to-date with new research and computational tools is essential, as the field constantly evolves, especially in finance and data science settings.

What is the difference between Stochastic Calculus vs Quantitative Analyst?

AspectStochastic CalculusQuantitative Analyst
Required CredentialsMathematics, Statistics, or Financial Engineering degreesMathematics, Statistics, Finance, or Economics degrees
Work EnvironmentResearch, modeling, and theoretical analysis in finance or engineeringDeveloping models, analyzing data, and supporting trading strategies
Industry UsageFinancial institutions, risk management, derivatives pricingInvestment banks, hedge funds, asset management firms

Stochastic Calculus focuses on the mathematical tools used to model randomness and uncertainty, essential for pricing derivatives and risk assessment. Quantitative Analysts apply these mathematical techniques, including stochastic calculus, to develop financial models, analyze markets, and inform trading decisions. While stochastic calculus provides the theoretical foundation, Quantitative Analysts utilize these methods in practical, industry-specific contexts.

What is stochastic calculus and what is it used for?

Stochastic calculus is a branch of mathematics that deals with integrating and differentiating functions that involve randomness, typically modeled by stochastic processes such as Brownian motion. It provides the mathematical foundation for modeling systems that evolve over time with inherent uncertainty, such as stock prices, interest rates, and physical processes influenced by random noise. Stochastic calculus is widely used in quantitative finance, engineering, physics, and other disciplines to analyze and predict dynamic systems where randomness plays a key role.

What are the key skills and qualifications needed to thrive as a professional specializing in stochastic calculus, and why are they important?

To excel in a role focused on stochastic calculus, you need advanced mathematical knowledge, particularly in probability theory, differential equations, and stochastic processes, usually supported by at least a master's or PhD in mathematics, statistics, or a related field. Familiarity with computational tools like MATLAB, Python (with libraries such as NumPy and SciPy), and specialized statistical software is typically required. Strong analytical thinking, problem-solving abilities, and attention to detail distinguish top professionals in this area. These skills are critical for accurately modeling and analyzing random systems, which underpin decision-making in finance, engineering, and scientific research.
More about Stochastic Calculus jobs
Infographic showing various Stochastic Calculus job openings in the United States as of July 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 75% Physical, and 25% Remote job distribution, with an average salary of $52,166 per year, or $25.1 per hour.
Vice President

Vice President

BNP Paribas

New York, NY โ€ข On-site

$165K - $220K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

BNP Paribas Securities Corp.
Job Title:Vice President
Location: 787 Seventh Avenue, New York, NY 10019
Duties:Learn and implement new pricing models for credit products from studying internal models or external resources, with a focus on the products traded in the Americas. Participate in the development, testing, validation, and release effort for credit products, adhering to best practice around code development and release. Collaborate with other Quant Research teams locally and globally, to ensure optimal development and foster synergies across location and asset classes. Support the desks on issues related to booking, pricing, and hedging, and provide timely solutions to issues arising with the pricing or the hedging of the trade. Report progress and concerns to management. *Telecommuting permitted 40%: work may be performed within normal commuting distance from the BNP Paribas Securities Corp office in New York, NY.
SALARY :$165,000.00 to $220,000.00 / year.
Work Schedule: 9am to 5pm, 40 hours a week. (Monday Friday)
Job Requirements:Master's degree (US or Foreign Equivalent) in Financial Engineering, Computational Finance, or related field and two (2) years of experience in job offered or related role OR Bachelor's degree (US or Foreign Equivalent) in Financial Engineering, Computational Finance, or related field and four (4) years of experience in job offered or related role. Must have two (2) years of experience with: Quantitative model research, calibration, and validation for credit products (securities, derivatives, securitized products, and exotic products); Producing production-ready and object-oriented polymorphic code with respect to modeling, pricing, validation, analytical tools, data processing, and automating processes, using Python and C++ in a front-office financial services environment; Applying knowledge of mathematics, including stochastic calculus, statistics, probability, and linear algebra, in the context of modeling the credit risk factor with a hazard rate model; Applying knowledge of finance, including fixed income security, risk neutral pricing, and derivative pricing, in the context of modeling products with a credit risk; Experience with credit products (securities, derivatives, securitized products, and exotic products) in terms of their valuation as well as understanding and modeling their risk factors, including the credit risk factor; and Collaborating with the business to onboard and implement in Python and C++ the quantitative modeling of: new credit products or new features for existing credit products, and new pricing and marking tools or new features for existing pricing and marking tools for credit products.
BNP Paribas is committed to providing a work environment that fosters diversity, inclusion, and equal employment opportunity without regard to race, color, gender, age, creed, sex, religion, national origin, disability (physical or mental), marital status, citizenship, ancestry, sexual orientation, gender identity and gender expression, or any other legally protected status.
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