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Stochastic Modelling Jobs (NOW HIRING)

Prudential Annuities Distributors (PAD)

$200 - $250/hr

Experience in at least three relevant business areas, including but not limited to: stochastic modelling, statistical and data analysis, investment risk management, return and attribution modelling ...

Aegis Corps

Risk Analyst

Washington, DC · On-site +1

... and modelling. The main responsibilities include: * Develop predictive risk models, plan and ... Develop, enhance, validate, and run a stochastic simulation model that forecasts the credit risk ...

Unchain Data

NY · On-site

$100 - $125/hr

Proficiency in quantitative modelling and time-series methods (GARCH, ARIMA, stochastic calculus), with advanced Python and SQL skills for large-scale data analysis * Familiarity with high-frequency ...

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Stochastic Modelling information

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How much do stochastic modelling jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for stochastic modelling in the United States is $65.77, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $100.00 per hour, depending on experience, location, and employer.

What is stochastic modelling?

Stochastic modelling is a mathematical approach that incorporates randomness and uncertainty into models to predict and analyze complex systems or processes. Unlike deterministic models, which produce the same output for a given input, stochastic models use probability distributions to represent the likelihood of various outcomes. These models are widely used in fields such as finance, engineering, biology, and insurance to forecast events, assess risks, and make informed decisions under uncertainty. Stochastic modelling helps organizations better understand potential future scenarios and prepare for variability in real-world situations.

What types of projects or industries commonly employ stochastic modellers, and how does the role typically interact with multidisciplinary teams?

Stochastic modellers are frequently employed in industries such as finance, insurance, energy, engineering, and pharmaceuticals, where uncertainty and risk must be quantified and managed. In these settings, stochastic modellers often collaborate closely with data scientists, engineers, subject matter experts, and business stakeholders to develop models that inform decision-making. The role involves translating complex real-world processes into probabilistic models, validating results, and communicating findings to both technical and non-technical audiences. Being able to work effectively within multidisciplinary teams is essential, as model development and implementation often require input from various fields.

What are the key skills and qualifications needed to thrive as a stochastic modeller, and why are they important?

To thrive as a Stochastic Modeller, you need a strong background in mathematics, probability theory, and statistical analysis, often supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python, R, or MATLAB, and experience with statistical and simulation software are typically required. Analytical thinking, problem-solving abilities, and effective communication help translate complex models into actionable insights for stakeholders. These skills are essential for accurately modeling uncertainty, informing data-driven decisions, and delivering reliable forecasts in various industries.

What is the difference between Stochastic Modelling vs Data Analyst?

AspectStochastic ModellingData Analyst
Required CredentialsMathematics, Statistics, or Quantitative degrees; often advanced certificationsStatistics, Data Science, or related degrees; certifications like CAP or Microsoft Certified
Work EnvironmentResearch labs, finance, insurance, or academia; focus on model developmentBusiness settings, tech companies, finance; focus on data interpretation and reporting
Industry UsageFinancial modeling, risk assessment, simulationBusiness analytics, market research, operational insights

Stochastic Modelling involves creating complex mathematical models to simulate random processes, often requiring advanced quantitative skills. Data Analysts focus on interpreting data to inform business decisions, using statistical tools. While both roles work with data, stochastic modelling emphasizes model development and simulation, whereas data analysis centers on data interpretation and reporting.

What other helpful pages are available for Stochastic Modelling?

Other pages related to Stochastic Modelling:

Infographic showing various Stochastic Modelling job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $136,810 per year, or $65.8 per hour.

Executive Director, Fixed Income Quantitative Research

Newark, NJ • On-site

Prudential Financial, Inc.
See more jobs at Prudential Financial, Inc.external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Prudential rating

8.7

Company rating: 8.7 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

72nd of 315 rated insurance

Job description

Job Classification:
Investment Management - Investments
A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE
As the Global Asset Management business of Prudential, we're always looking for ways to improve financial services. We're passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world.
We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you'll unlock a motivating and impactful career - all while growing your skills and advancing your profession at one of the world's leading global asset managers!
If you're not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that's investing in your future by shaping tomorrow today.
At PGIM, You Can!
What you will do
The Quantitative Modeling and Strategies (QMS) Group in PGIM Fixed Income is looking to add an Executive Director to oversee the research and development of portfolio construction and risk management models and tools. The group is an integral part of the investment organization, contributing to areas such as: portfolio construction, systematic strategies, fixed income relative value and stochastic modeling. We work closely with portfolio managers and traders as well as with colleagues in risk management, structured finance research, and application development.
What you can expect
  • Engage with desk heads and portfolio/risk managers to understand business requirements.
  • Provide thought leadership in portfolio construction and risk management.
  • Create analytical solutions to meet business needs in a fixed income asset management environment.
  • Develop a deep understanding of fixed income pricing models, curve fitting models, and structured solutions models.

What you will bring
  • 10+ years of experience in fixed income quantitative research (buy-side preferred).
  • An advanced degree (PhD preferred) in a quantitative field (e.g., science, mathematics, finance, or engineering).
  • Ability to think both strategically and tactically while proactively managing a diverse team.
  • An entrepreneurial spirit with a hands-on management style, capable of building upon existing quantitative research capabilities and infrastructure.
  • Ability to work closely with desk heads and portfolio managers, building strong relationships while maintaining intellectual independence.
  • Proven experience leading the design of analytical solutions in a fixed income asset management environment.
  • Ability to communicate complex concepts clearly, concisely, and logically.
  • Familiarity with technology, data, and programming, and their impact on modelling approaches.
  • Significant experience in portfolio construction models and/or systematic strategies, as well as risk management modelling in a fixed income context.
  • Experience with at least three relevant asset classes, including but not limited to: interest rate products, futures, FX derivatives, investment grade (IG) and high yield (HY) corporates, CDX, TRS, MBS, CLOs, CMBS, ABS, and private credit.
  • Experience in at least three relevant business areas, including but not limited to: stochastic modelling, statistical and data analysis, investment risk management, return and attribution modelling, asset allocation, portfolio construction, systematic strategies research, and investment/risk technology.
  • Comfortable engaging with clients as a thought leader in global public and private fixed income investing.

What we offer you:
  • Market competitive base salaries, with a yearly bonus potential at every level.
  • Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
  • 401(k) plan with company match (up to 4%).
  • Company-funded pension plan.
  • Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
  • Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
  • Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
  • Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period).

Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.
If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com.
If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance.

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