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Stochastic Calculus Jobs (NOW HIRING)

Citigroup, Inc.

Model/Anlys/Valid Sr Analyst

New York, NY · On-site

$160K - $175K/yr

Stochastic calculus; and Python programming. Applicants submit resumes at Please reference Job ID #26972170. EO Employer. Wage Range: $160,000 to $175,000 Job Family Group: Risk Management Job Family:

BNP Paribas

Vice President

New York, NY · 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 ...

Wolverine Worldwide

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 ...

Wolverine

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 ...

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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.
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What job categories do people searching Stochastic Calculus jobs look for? The top searched job categories for Stochastic Calculus jobs are:
Stochastic Calculus jobs near you
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.

Risk Management - Model Risk Program Associate

JPMorgan Chase & Co

Manhattan, NY • On-site

Full-time

Medical, Retirement

Re-posted 16 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you play a crucial role in maintaining JPMorganChase's strength and resilience. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Quant Model Risk Associate in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with complex models used for valuation, risk measurement, capital calculation, and decision-making purposes. You'll be at the forefront of innovation, driving continuous improvement in a dynamic and collaborative environment. This role also provides the opportunity to gain exposure to various business and functional areas, as well as collaborate closely with model developers and users.

Job Responsibilities

  • Perform thorough reviews of complex credit, interest rate, and equity pricing models, including valuation engines and reserve methodologies. Analyze the conceptual soundness, model design, and appropriateness of models for specific products and structures.
  • Evaluate model behavior and ensure the suitability of pricing models and engines for their intended applications, identifying potential limitations and areas for improvement.
  • Develop and implement alternative model benchmarks. Design and maintain robust model performance metrics to compare and monitor the outcomes of various models.
  • Continuously evaluate model performance, ensuring models remain fit for purpose and compliant with internal and regulatory standards. Recommend enhancements and oversee remediation where necessary.
  • Serve as the primary point of contact for the business regarding new model implementations and changes to existing models. Provide expert guidance on model usage, limitations, and governance requirements.
  • Liaise effectively with model developers, Risk, and Valuation Control Groups. Offer guidance and support on model risk management, validation standards, and regulatory expectations.

Required Qualifications, Capabilities and Skills 

  • Advanced degree (MSc, PhD, or equivalent) in a quantitative discipline such as mathematics, statistics, financial engineering, or related field.
  • Advanced knowledge of probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis, with demonstrated ability to apply these concepts to financial modeling and risk assessment.
  • Deep understanding of option pricing theory and quantitative models for pricing and hedging derivatives, including familiarity with stochastic calculus and risk-neutral valuation.
  • Strong analytical and problem-solving skills, with an inquisitive mindset and the ability to formulate insightful questions, identify model limitations, and escalate issues appropriately.
  • Excellent written and verbal communication skills, with the ability to clearly explain complex quantitative concepts to both technical and non-technical stakeholders.
  • Proficient programming skills in languages such as C/C++, Python, or similar, with experience implementing numerical algorithms and developing model prototypes.
  • Demonstrated curiosity and ownership, with a strong willingness to work collaboratively within a team-oriented environment.
  • One to three years' experience in front office model development or in model review, validation, and governance within financial services, with a strong understanding of credit, interest rate, and equity pricing models.

Preferred Qualifications, Capabilities and Skills 

  • Experience in a front office or model risk quantitative role.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

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