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Operational Risk Intern information

What does an operational risk intern do?

An Operational Risk Intern supports a company's risk management team by helping identify, assess, and mitigate risks that could impact daily business operations. Their tasks often include data analysis, preparing risk reports, assisting with risk assessments, and monitoring compliance with internal controls. Interns may also participate in risk-related projects and learn about regulatory requirements. This role provides valuable experience in understanding how organizations manage operational risks and ensure business continuity.

What are the key skills and qualifications needed to thrive as an operational risk intern?

To thrive as an Operational Risk Intern, you need strong analytical abilities, attention to detail, and a background in finance, business, or a related field, often supported by progress toward a relevant degree. Familiarity with risk management frameworks, Microsoft Excel, and risk assessment tools is typically required. Strong communication, problem-solving skills, and a willingness to learn help interns stand out in this position. These skills ensure effective identification, analysis, and mitigation of operational risks, supporting the organization's overall risk management objectives.

What are some common projects or tasks an operational risk intern might work on during their internship?

As an Operational Risk Intern, you can expect to assist in identifying, assessing, and documenting potential risks within daily business processes. Typical projects include supporting risk assessments of business units, helping to analyze incident reports, and preparing risk dashboards or presentations for management. You may also participate in reviewing policies and procedures, working closely with cross-functional teams such as compliance, audit, and business operations. This hands-on experience helps build a strong foundation in risk management practices and offers valuable insights into how organizations safeguard their operations.

What are the most commonly searched types of Operational Risk jobs in Connecticut?

The most popular types of Operational Risk jobs in Connecticut are:

What cities in Connecticut are hiring for Operational Risk Intern jobs?

Cities in Connecticut with the most Operational Risk Intern job openings:

Operational Risk Intern jobs near you

Data Engineering Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

$122K - $146K/yr

Full-time

Re-posted 3 hours ago

Job description

Application Deadline: September 1, 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

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