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Entry Level Sas Risk Analyst Jobs in Washington (NOW HIRING)

Freddie Mac

Securities Modeling Analyst

Mclean, VA · On-site

$78K - $118K/yr

... SAS. * Exposure to AI powered tools such as Claudi models, Amazon Q Developer or Kiro. * Highly ... Exposure in cash flow modeling in Agency REMIC, CMBS, CMO and/or credit risk transfer transactions.

Western Alliance Bank

Senior Credit Analyst

Reston, VA

$36.74 - $45.38/hr

Review client financials and perform sensitivity analysis to evaluate credit risk in connection ... Bachelor's degree or equivalent experience required. * Entry level to intermediate knowledge of ...

Freddie Mac

Securities Modeling Analyst

Mclean, VA · On-site

$78K - $118K/yr

... SAS, SQL, Java, and/or C++. * Exposure to AI powered tools such as Claudi models, Amazon Q ... Exposure in cash flow modeling in Agency REMIC, CMBS, CMO and/or credit risk transfer transactions.

TriOptus LLC

Senior Data Analytics Developer

Mclean, VA · On-site

... SAS, Python and React libraries) * Working as a part of a team to support line of business areas ... and risk profile of MF population * Interpret findings and prepare initial drafts of standard ...

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Entry Level Sas Risk Analyst information

What are some common challenges faced by entry level SAS risk analysts during their first year on the job?

Entry-level SAS Risk Analysts often encounter challenges such as learning to interpret complex data sets, mastering SAS tools under tight deadlines, and adapting to the fast pace of risk management environments. Collaboration with senior analysts and cross-functional teams is vital, as is communicating findings to stakeholders who may not have a technical background. Developing effective time management skills and continuously seeking feedback can help new analysts overcome these challenges and quickly become valuable contributors to their teams.

What is an entry level SAS risk analyst?

Entry level SAS Risk Analysts are professionals who use SAS (Statistical Analysis System) software to analyze data and identify, assess, and report on financial or operational risks within an organization. They typically work under supervision to support senior analysts or risk managers, preparing risk reports, performing data extractions, and assisting in the development of risk models. These roles often serve as an entry point into risk management or data analytics careers, requiring strong analytical skills, attention to detail, and a basic understanding of SAS programming.

What is the difference between Entry Level Sas Risk Analyst vs Entry Level SAS Data Analyst?

AspectEntry Level SAS Risk AnalystEntry Level SAS Data Analyst
Required CertificationsBasic SAS certifications, risk management knowledgeBasic SAS certifications, data analysis skills
Work EnvironmentFinancial institutions, insurance companiesCorporations, consulting firms, data-driven industries
Industry UsageRisk assessment, compliance, financial analysisData reporting, business intelligence, analytics

Both roles require foundational SAS skills and entry-level certifications. The SAS Risk Analyst focuses on risk management within financial sectors, while the SAS Data Analyst emphasizes data analysis and reporting across various industries. Understanding these differences helps candidates target their skills and career goals effectively.

What are the key skills and qualifications needed to thrive as an entry level SAS risk analyst?

To thrive as an Entry Level SAS Risk Analyst, you need a solid background in statistics, data analysis, and a bachelor's degree in a related field such as finance, mathematics, or computer science. Familiarity with SAS software, Microsoft Excel, and possibly risk management certifications are typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting data and conveying risk insights. These skills ensure accurate risk assessment, support data-driven decision-making, and help organizations manage financial or operational risks efficiently.
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Entry Level Sas Risk Analyst jobs near you
Infographic showing various Entry Level Sas Risk Analyst job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Entry Level Artificial intelligence security specialist

SynergisticIT

Washington, DC • On-site

Other

Posted 5 days ago

Job description

Synergisticit Career Opportunities

For more than 14 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers. In this market also our candidates get multiple job offers and $100k+ salaries.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab etc to name a few. Currently, we are looking for:

  • Entry-level software programmers
  • Java Full stack developers
  • Python/Java developers
  • Data analysts/Data Scientists
  • Machine Learning engineers

Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates.

Required Skills for Data Science/Machine Learning Positions

Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT Project work on the technologies needed Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow

Required Skills for Java/Full Stack/Software Positions

Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Project work on the skills Knowledge of Core Java, javascript, C++ or software programming Spring boot, Microservices, Docker, Jenkins and REST API's experience Excellent written and verbal communication skills

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

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