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Internship Probabilistic Risk Assessment Jobs in Freeport, NY

Bloomberg LP

Quant Analyst - Market Risk

New York, NY · On-site

... Assessment. The group is responsible for model research and development, as well as model ... Knowledge of probability theory and stochastic processes, probabilistic and machine learning ...

Touro University

Internal Audit Associate

Manhattan, NY

$64K - $80K/yr

Execute internal audit risk assessments through data analysis and risk identification under ... Coordinate internship program activities, including recruiting, onboarding, and monitoring interns ...

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Internship Probabilistic Risk Assessment information

What is an internship in probabilistic risk assessment?

An Internship in Probabilistic Risk Assessment (PRA) is a temporary position where students or recent graduates gain hands-on experience analyzing and quantifying risks associated with complex systems, often in industries like nuclear energy, aerospace, or engineering. Interns typically assist in developing mathematical models, performing simulations, and interpreting data to identify potential hazards and their likelihood. This role helps interns build practical skills in risk analysis, data interpretation, and technical communication under the guidance of experienced professionals.

What do interns in probabilistic risk assessment do?

As an intern in Probabilistic Risk Assessment, you can expect to be involved in tasks such as data collection and analysis, developing risk models, and assisting senior analysts in evaluating the likelihood and impact of various risk scenarios. You may also help prepare reports or presentations that communicate risk findings to other teams. Collaboration with engineers, data scientists, and subject matter experts is common, as risk assessment often draws on diverse expertise to ensure accurate modeling and interpretation. This hands-on experience provides valuable insight into both the technical and communicative aspects of risk assessment in a professional setting.

What skills and qualifications are needed for an internship in probabilistic risk assessment?

To thrive as an Internship Probabilistic Risk Assessment, you need a solid background in mathematics, statistics, and engineering principles, often supported by coursework in risk analysis or reliability engineering. Familiarity with risk assessment software (such as SAPHIRE, RiskSpectrum, or CAFTA), statistical programming languages like Python or R, and relevant data analysis tools is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret complex data and convey findings clearly to multidisciplinary teams. These skills are essential for accurately identifying potential risks and contributing to safety and decision-making processes in technical industries.

What is the difference between Internship Probabilistic Risk Assessment vs Probabilistic Risk Assessment?

AspectInternship Probabilistic Risk AssessmentProbabilistic Risk Assessment
CredentialsTypically students or entry-level professionals with basic knowledgeProfessionals with specialized certifications or advanced degrees
Work EnvironmentInternship settings, training programs, or entry-level projectsFull-time roles in engineering, safety, or risk analysis teams
Industry UsageEducational and training purposes, entry-level exposureOperational risk assessments in industries like nuclear, oil & gas, or aerospace

Internship Probabilistic Risk Assessment is an entry-level, training-focused role for students or new professionals, often part-time or temporary. Probabilistic Risk Assessment is a professional, full-time role involving detailed risk analysis in high-stakes industries. The internship provides foundational experience, while the full role involves advanced analysis and decision-making.

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Infographic showing various Internship Probabilistic Risk Assessment job openings in Freeport, NY as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Risk Program Manager - Chief Risk Office

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies

Job description

Data Risk Program Manager - Chief Risk Office
Location
New York
Business Area
Legal, Compliance, and Risk
Ref #
10050631
Description & Requirements
What's the role?
Bloomberg's Chief Risk Office (CRO) plays a critical role in supporting our businesses and operations globally. We partner across the firm to identify, assess, and manage risks inherent in delivering world-class financial data, analytics, and news.
The CRO Data Risk Program is responsible for ensuring enterprise data is appropriately governed, protected, and managed throughout its lifecycle-minimizing risk while enabling trusted and responsible use of data.
This role will be instrumental in building and scaling Bloomberg's enterprise data risk management capabilities. You will initially operate in a hybrid capacity across first and second lines of defense, partnering closely with engineering, data, and product teams to establish foundational data governance capabilities. As the program matures, the role will transition toward a dedicated second line of defense function, focused on governance, oversight, and independent challenge.
The CRO Data Risk team provides enterprise oversight across key capabilities including Data Inventory, Data Classification, Data Discovery, Metadata Management, and Data Lineage.
We'll trust you to:
  • Drive planning and execution of key workstreams within the CRO Data Risk Program
  • Partner with Engineering, Data, Product, CISO, CTO, and Legal & Compliance teams to define and implement data governance and data risk capabilities
  • Establish and maintain data risk management frameworks, standards, and controls aligned with business and regulatory expectations
  • Support and guide the implementation of capabilities such as data classification, data discovery, metadata management, and data lineage
  • Provide oversight and challenge to first line teams as capabilities mature, ensuring alignment with enterprise standards
  • Identify capability gaps and prioritize enhancements based on risk, regulatory requirements, and most importantly business needs
  • Develop and deliver metrics, dashboards, and reporting to measure program adoption, control effectiveness, and maturity (e.g., data classification coverage, lineage completeness, policy adherence)
  • Monitor and assess data risk posture and control effectiveness, escalating risks and issues as appropriate
  • Collaborate with partners across Operational Resilience, Privacy, and Compliance to translate regulatory expectations into practical data controls and capabilities
  • Contribute to data risk training and awareness programs across the organization
  • Serve as a subject matter expert in data governance and data risk management practices

You'll need to have:
  • 5 - 8+ years of experience in data management, data governance, or data risk management
  • Bachelor's degree (or higher) in Computer Science, Information Systems, Data Analytics, or a related field
  • Experience working across technology, data, risk, privacy, or compliance functions
  • Hands-on experience implementing or supporting data governance capabilities (e.g., data classification, metadata management, data lineage, or data discovery)
  • Understanding of data risk concepts, including data protection, regulatory expectations, and control design
  • Strong problem-solving and analytical skills
  • Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders
  • Experience with data governance or data management tools (e.g., Microsoft Purview, Collibra, Informatica, Varonis)
  • Familiarity with cloud platforms and SaaS-based data ecosystems
  • Experience working in agile or iterative delivery environments
  • Ability to operate independently while collaborating across a global organization

We'd love to see:
Certifications such as DCAM, DAMA, PMP, or CSM
Experience with Microsoft Purview Information Protection or similar tooling
Salary Range = 130,000 - 180,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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