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Econometric Modeling Jobs in Washington (NOW HIRING)

Ability to explain utility maximization, production functions, IS-LM model, aggregate supply-demand framework, and comparative advantage while preparing students for intermediate economics and ...

College Economics Tutor

Laurel, MD · Remote

$18 - $40/hr

Ability to explain utility maximization, production functions, IS-LM model, aggregate supply-demand framework, and comparative advantage while preparing students for intermediate economics and ...

Ability to explain utility maximization, production functions, IS-LM model, aggregate supply-demand framework, and comparative advantage while preparing students for intermediate economics and ...

Ability to explain utility maximization, production functions, IS-LM model, aggregate supply-demand framework, and comparative advantage while preparing students for intermediate economics and ...

Ability to explain utility maximization, production functions, IS-LM model, aggregate supply-demand framework, and comparative advantage while preparing students for intermediate economics and ...

College Economics Tutor

Bowie, MD · Remote

$18 - $40/hr

Ability to explain utility maximization, production functions, IS-LM model, aggregate supply-demand framework, and comparative advantage while preparing students for intermediate economics and ...

Ability to explain utility maximization, production functions, IS-LM model, aggregate supply-demand framework, and comparative advantage while preparing students for intermediate economics and ...

Ability to explain utility maximization, production functions, IS-LM model, aggregate supply-demand framework, and comparative advantage while preparing students for intermediate economics and ...

Constructing econometric models using statistical software such as R or Stata (and in certain cases, advanced computer programming using programs such as Python) REQUIREMENTS: * Bachelor's degree in ...

Showing results 21-40

Econometric Modeling information

What is the difference between Econometric Modeling vs Data Analyst?

AspectEconometric ModelingData Analyst
Required CredentialsDegree in Economics, Statistics, or related field; often advanced degreesBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, often in finance, economics, or academiaBusiness, marketing, or operations teams in various industries
Employer & Industry UsageFinancial institutions, government agencies, research firmsCorporations, consulting firms, tech companies
Common Search & ComparisonEconometric Modeling vs Data Analyst

Econometric Modeling involves developing statistical models to analyze economic data, often requiring advanced degrees and a research-oriented environment. Data Analysts focus on interpreting data to inform business decisions, typically with a bachelor's or master's degree. While both roles analyze data, econometric modeling emphasizes economic theories and complex statistical techniques, whereas data analysts work across various industries with a broader focus on data visualization and reporting.

What are popular job titles related to Econometric Modeling jobs in Washington?

For Econometric Modeling jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Econometric Modeling jobs in Washington look for?

The top searched job categories for Econometric Modeling jobs in Washington are:

What cities in Washington are hiring for Econometric Modeling jobs?

Cities in Washington with the most Econometric Modeling job openings:

Quantitative Analytics Senior (Credit Risk Modeling)

Freddie Mac

Mclean, VA • On-site

$126K - $190K/yr

Full-time

Posted 23 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 Single-Family Division is currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the Credit Risk Modeling Team.

Our Impact:

Our team is responsible for the development and analytic support of credit risk models, supports the single-Family business for risk decisions. We apply econometric, machine learning and statistical modeling to understand business problems and produce credit risk forecast for the mortgage portfolio.

Your Impact:
  • Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products.

  • Providing innovative, detailed and practical solutions to an extensive range of fast paced and complicated problems.

  • Developing and validating loss forecasting models, conducting research on improvements to the existing models, and applying industry standard methodologies and techniques to meet various business needs.

  • Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.

  • Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.

  • Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.

  • Working under limited direction, independently determining and developing approach to solutions.

Qualifications:
  • PhD in Economics, Statistics, Math, Computer Science or a related quantitative field; or Master's degree with at least 3 years of related post-graduate work experience

  • Strong programming skills in Python, SQL, SAS and Unix

  • Experience with programming language such as R, VBA, Java or C++

  • Experience working with large data sets and relational database

  • Experience working with mortgage or consumer credit risk models, prepayment models and severity models

  • Experience with competing-risk hazard models, transition models, loss forecasting and stress testing

  • Experience in data science, machine learning and related technologies

Keys to Success in this Role:

  • Outstanding quantitative, empirical analysis, and research skills

  • Solid understanding of econometric models, tools and techniques

  • Strong programming 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

What Freddie Mac employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Freddie Mac logo

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