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Stochastic Calculus Jobs (NOW HIRING)

C# Software Engineer

Chicago, IL · 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 · 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 ...

Model/Anlys/Valid Officer

New York, NY · On-site

$225K - $250K/yr

Apply mathematical techniques, including copula models and stochastic calculus for computing the Credit Value Adjustment, Funding Valuation Adjustment and other affine metrics for portfolios of ...

Showing results 41-60

Stochastic Calculus information

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How much do stochastic calculus jobs pay per hour?

As of Aug 7, 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?

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?

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 skills and qualifications are needed to work in stochastic calculus?

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 August 2026, with employment types broken down into 51% Full Time, and 49% Part Time. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $52,166 per year, or $25.1 per hour.

C# Software Engineer

Wolverine Worldwide

Chicago, IL • On-site

$80K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

We are seeking a motivated, self-directed, and technically outstanding developers with a strong quantitative background to join our team of Software Engineers responsible for building systems that support our options trading, valuation, and risk management infrastructure. With the ever-changing demands of markets and financial technology worldwide, these systems are in a constant state of improvement and expansion.
  • Engage in full cycle development of custom-built options valuation and risk management systems
  • Communicate with traders, risk managers, and quantitative analysts to identify issues and develop improvements to pricing and risk systems
  • Gather requirements, design solutions, iterate on implementations with peers and business advisors, participate in code reviews, and deliver products in a timely manner
  • Troubleshoot and solve complex problems escalated by trading and support staff
  • Provide insights on and help prioritize tasks to optimize, modernize, and improve the accuracy, performance, and scalability of our systems
  • Document mathematical specifications, model assumptions, software requirements, and test cases
  • Keep abreast of emerging developments in derivatives pricing theory, numerical methods, and financial technology
  • 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, Pandas, Jupyter, or similar, with an emphasis on financial time-series and market data
  • Experience with Windows, Linux, Python, .Net, WPF
  • Familiarity with options pricing models, risk metrics (Greeks, scenario analysis, volatility surfaces), market microstructure, and options trading workflows is a strong plus
  • Be organized, self-directed, and dependable; able to manage your own workload and provide reasonable estimates for completion
  • Have superb analytical and problem-solving skills, particularly in translating mathematical models into robust, high-performance code
  • Have excellent verbal and written communication skills, able to convey quantitative concepts and design decisions to both technical and non-technical stakeholders
Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff. While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges.
 
Benefits:
  • Highly competitive salary & bonus opportunity
  • Generous paid time off and flexible scheduling
  • 100% coverage of medical, dental, vision, life, and disability benefits for single coverage
  • Generous Paid Parental Leave
  • Retirement Plans: 401K and Roth 401K
  • Profit sharing plan
  • Long- and short-term disability 
Additional Perks:
  • Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!)
  • On-site gym with a subsidized membership
  • Frequent company outings
  • Opportunity to give back to organizations that help individuals in need in the Chicagoland area
Professional Development:
  • In-house education team - classes and resources are offered for continuous learning opportunities
  • Mentorship Program through your first six months of employment
The base compensation range for this role is approximately $80,000-$120,000 contingent on experience. Wolverine's total compensation model includes base salary and an annual discretionary bonus.