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Full Time Stochastic Processes Jobs (NOW HIRING)

Truist

Data Scientist II - Fraud Reporting

Charlotte, NC · On-site

... stochastic processes * Demonstrate understanding of data cleansing and preparation methodologies ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

Truist

Data Scientist II - Fraud Reporting

Charlotte, NC · On-site

... stochastic processes * Demonstrate understanding of data cleansing and preparation methodologies ... by full-time or part-time status) during their first year of employment, along with 10 sick days ...

Wit

Assistant Professor, Applied Mathematics

Boston, MA

$89K - $106K/yr

The School of Computing and Data Science (SCDS) includes more than 30 full-time faculty who offer ... stochastic processes, dynamical systems, financial mathematics, graph theory, algebra, and modeling.

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Full Time Stochastic Processes information

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How much do full time stochastic processes jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time stochastic processes in the United States is $84,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Stochastic Processes Analyst, and why are they important?

To thrive as a Stochastic Processes Analyst, you need a solid background in mathematics, probability theory, and statistical modeling, typically supported by a relevant degree such as mathematics, statistics, or applied mathematics. Proficiency in technical tools like MATLAB, R, Python, and experience with stochastic simulation software are commonly required. Strong analytical thinking, attention to detail, and effective communication skills are vital for interpreting complex data and conveying insights to stakeholders. These abilities are essential for accurately modeling random systems and informing data-driven decision-making in industries such as finance, engineering, and operations research.

What are full-time stochastic processes jobs?

Full-time stochastic processes jobs are positions where professionals work primarily with mathematical models that involve randomness and uncertainty, such as Markov chains, Brownian motion, or Poisson processes. These roles typically require a strong background in probability theory, statistics, and mathematics, and are common in fields like finance, data science, engineering, and research. Job duties may include developing and analyzing algorithms, creating simulations, or applying stochastic models to real-world problems. Common job titles in this area include quantitative analyst, data scientist, research scientist, and applied mathematician.

What is the difference between Full Time Stochastic Processes vs Data Analyst?

AspectFull Time Stochastic ProcessesData Analyst
Required CredentialsMathematics, Statistics, or related degrees; often advanced certificationsStatistics, Data Science, or related degrees; certifications like SQL, Tableau
Work EnvironmentResearch labs, finance, insurance, academiaBusiness, finance, marketing, tech companies
Industry UsageModeling randomness, risk assessment, financial modelingData interpretation, reporting, decision support

Full Time Stochastic Processes focus on mathematical modeling of randomness and are often employed in finance and research. Data Analysts interpret data to inform business decisions. While both roles require statistical knowledge, stochastic processes are more theoretical, whereas data analysts are more application-oriented.

What are some common challenges faced by professionals working full-time in stochastic processes roles?

Professionals in full-time stochastic processes positions often encounter challenges such as translating complex mathematical models into practical solutions for real-world problems, especially when data is noisy or incomplete. Collaboration with interdisciplinary teams is common, requiring strong communication skills to explain probabilistic concepts to non-experts. Additionally, staying updated with the latest advancements in stochastic modeling and computational techniques is essential for continued success and growth in this field.
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Full Time Stochastic Processes jobs near you
Data Scientist II - Fraud Reporting

Data Scientist II - Fraud Reporting

Truist

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Truist rating

8.3

Company rating: 8.3 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

34th of 141 rated banks

Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
This is a fully on-site position based in Charlotte, NC. Teammates are expected to be in the office five days a week
Essential Duties and Responsibilities:
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
  • Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
  • Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
  • Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
  • Engage in stakeholder meetings to identify business objectives and scope solution requirements.
  • Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
  • Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
  • Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
  • Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
  • Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
  • Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
  • Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
  • Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
  • Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
  • Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:
  • Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
  • Four years of relevant work experience if candidate lacks graduate degree
  • Previous experience in the banking or fin-tech industry

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019

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