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Bayesian Modeling Jobs in Ashburn, VA (NOW HIRING)

... Bayesian methods, derivatives, and Monte Carlo methods/modeling. * Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming ...

... Bayesian methods, derivatives, and Monte Carlo methods/modeling. * Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming ...

... Bayesian methods, derivatives, and Monte Carlo methods/modeling. * Coursework and / or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming ...

... Bayesian methods, derivatives, and Monte Carlo methods/modeling. * Demonstrated experience and expertise in credit risk modeling and risk mitigation * Strong analytical and problem-solving skills ...

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Bayesian Modeling information

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How much do bayesian modeling jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for bayesian modeling in Ashburn, VA is $60.04, according to ZipRecruiter salary data. Most workers in this role earn between $53.85 and $69.81 per hour, depending on experience, location, and employer.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.

How does a Bayesian modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

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

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

Quantitative Analytics Senior

Freddie Mac

Mclean, VA • On-site

Full-time

Re-posted 10 days ago


Freddie Mac rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

Freddie Mac's Investments & Capital Markets Division is currently seeking a Quantitative Analytics Senior to be responsible for the creation, development, and execution of analytic models used to value Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) of various types of financial institutions.

The candidate should be self-motivated, have a strong computational background, and effective communication skills. Under the Models & Analytics team, the candidate will support models primarily utilized by Freddie Mac's Counterparty Credit Risk Management Team. The key focus is on credit risk scorecard modeling, but the tasks may also include LGD and EAD models. The position encourages continued learning and development across other modeling areas, including market risk capital, operational loss forecast, prepayment and default, and rates and derivatives .

Our Impact:

Key focus of this job is thedesign, development, and implementation of counterparty credit risk models for a variety of financial institutions, with primary focus on Probability of Default modeling.

These models support multiple corporate and divisional objectives by providing key inputs into counterparty credit risk management, both at individual counterparty and portfolio levels.

Your Impact:
  • Design, code and maintain consistent counterparty credit risk models (PD/LGD/EAD).

  • These models must incorporate best practices while simultaneously accounting for the unique characteristics and risks of each financial institution.

  • Collaborate with the Counterparty Credit Risk Management (CCRM) Team to gain in-depth understanding of various types of financial institutions (e.g. Mortgage Banks, Depository Institutions, Insurers) in order to appropriately model unique associated risks.

  • Design and code model enhancements to address agreed-upon actions (AUAs) in response to findings from model reviewers, internal auditors, and regulatory examiners.

  • On a quarterly basis, design and run Performance Monitoring Reports, respond to questions from business users, model validation, audit, and model risk oversight.

  • Periodically review and understand changes of relevant corporate policies, standards and procedures and act as a liaison in associated model implementation validation.

  • Own other standard parts of modeling job such as understanding and complying with all official model controls related to models owned by the team.

  • Collaborate with the 1st line Model Governance team in I&CM to ensure that counterparty models adhere to Freddie Mac's model governance standards.

  • Proactively partner with teammates and users to co-develop unique approaches and facilitate ideas.

Qualifications:
  • PhD in economics, finance, statistics, or a related quantitative discipline, or Master's degree with 3+ years of relevant experience.

  • Demonstrated knowledge of Econometrics modeling techniques.

  • Outstanding quantitative, empirical analysis, and research skills

  • Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may include--but is not limited to-econometrics, statistics, mathematical programming, optimization, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.

  • Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include--but are not limited to--Python, R, SQL, and MATLAB.

  • Strong Programming skills is a must! Python and SQL are most frequently used; other useful languages and software available in the company include Java, SAS, MATLAB, C.

  • Experience with mortgage modeling and analytics preferred.

Keys to Success in this Role:
  • Strong programming skills

  • Strong technical skills (stats, math)

  • Strong analytical skills with orientation to detail

  • Good verbal and written communication skills

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full timeFLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.Employment Type: FULL_TIME

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About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970