Winter Co-op 2027 - ALM Data Management & Analytics

• Currently enrolled in an undergraduate or graduate program in:
  - Finance and Computer Science (Double degree or combined program preferred)
  - Financial Engineering
  - Mathematical Finance
  - Risk Management
  - Quantitative Finance
  - Computer Science with a strong interest in financial markets - - Data Science, Mathematics, Statistics, Economics, or related disciplines
• Demonstrated interest in both financial markets and technology.
• Basic understanding of financial concepts such as:
  - Fixed income securities
  - Interest rates and yield curves
  - Investment management
  - Financial markets and products
  - Risk management concepts
• Basic programming skills, preferably in Python.
• Working knowledge of SQL and relational databases.
• Strong analytical and problem-solving skills with the ability to work with large and complex datasets.
• Effective communication skills and ability to work collaboratively in a team environment.

• Academic coursework or project experience in both finance and technology disciplines.
• Familiarity with one or more of the following:
  - Asset Liability Management (ALM)
  - Market risk management
  - Fixed income analytics
  - Financial modeling
  - Quantitative analysis
• Experience using Python libraries for data analysis (e.g., Pandas, NumPy).
• Experience with databases, data engineering, or data visualization tools.
• Exposure to Artificial Intelligence, Machine Learning, Large Language Models (LLMs), or Generative AI technologies.
• Familiarity with software development practices such as Git, testing, and version control.
• Experience developing analytical, automation, or data-driven solutions through academic or personal projects.

We are particularly interested in students who can combine strong quantitative and technical capabilities with an understanding of financial markets. Candidates from Finance & Computer Science double-degree programs, Financial Engineering, Quantitative Finance, or Risk Management programs with strong programming skills are especially encouraged to apply.

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.