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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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Quantitative Operational Compliance Analyst - Internship

TotalEnergies
Found 2 months ago
Location
GENEVE, Switzerland
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Alteryx
  • Power BI
  • Python
  • Java
  • Business Intelligence tools
  • engineering principles

Soft Skills

  • Strong communication skills
  • entrepreneurship spirit
  • agility
  • analytical and problem-solving skills

Job Description

The internship will focus on operational reporting, implementing regulatory updates, and supporting new business activities. It is data-driven, closely aligned with compliance requirements, and directly linked to business operations. You will work in the OPC Team which is part of the Trading Support Department and oversees the day-to-day operational regulatory activities and risk mitigation techniques. Daily tasks would include: Analysing desk positions, whether physical, financial, speculative, or hedging.Calculating the daily notional value of trading activities in Europe and Asia and supporting both European and US (ICE/NYMEX) product portfolios.Gathering IT automation requirements from the team and providing tailored solutions.Ensuring the completion and reporting of daily activities to regulators and analysing feedback.Collaborating closely with the Middle Office, Back Office, Finance, and Legal & Compliance departments.Working with employees and market data from other locations (Geneva, Paris, Houston, Singapore).Updating existing processes and creating new innovative processes using Business Intelligence tools.Providing margin optimization strategies, guiding the Front Office in the efficient execution of EFS (Exchange for Swaps) and EFP (Exchange for Physicals) transactionsContributing to the management of regulatory projects and acting as a Business Project Analyst.Maintaining appropriate documentation, records, and reports for review by auditors or regulators. Additionally, the intern will: Support other departments with cash-related issues: This involves working closely with the finance and treasury teams to ensure efficient cash flow management, resolving discrepancies, and optimizing cash utilization.Provide optimization solutions in collaboration with the front office: The intern will analyse trading strategies and operational processes to identify areas for improvement, propose data-driven solutions, and implement best practices to enhance efficiency and profitability.Address concerns raised by business activities: The intern will act as a liaison between the middle office and other departments, ensuring that any operational or compliance issues are promptly addressed. This includes troubleshooting problems, providing timely solutions, and ensuring that all processes adhere to regulatory standards. Most importantly, the role involves ensuring that the controls in place are current, well-adapted, and aligned with the activity and prevailing regulatory practices.

Requirements

  • Master’s Degree applied in Actuarial science/Mathematics/Quantitative finance.
  • A numerical master’s degree – Science (MSc) or Engineering (MEng) desirable,
  • Strong communication skills in English and/or French to work on cross-functional project,
  • Prior understanding of commodities markets and their unique risk factors, including price volatility and market mechanisms,
  • Strong coding skills and technical IT expertise in tools such as Alteryx, Power BI, Python, and Java to design, develop, and implement custom automation solutions and IT tools.
  • Proficiency in using engineering principles to design and implement efficient and scalable IT solutions.
  • Ability to work with large datasets and perform data cleaning, transformation, and visualization.
  • Strong analytical and problem-solving skills, with the ability to design and optimize complex systems.
  • Experience with data analysis and modelling, including the use of statistical and machine learning techniques.

Related Field

  • Quantitative Finance

Related Subfield

  • Quantitative Analysis

Languages

  • English
  • French

Nice to Haves

  • Prior understanding of commodities markets and their unique risk factors, including price volatility and market mechanisms,
  • numerical master’s degree – Science (MSc) or Engineering (MEng) desirable
  • statistical and machine learning techniques
▶Apply Now

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