Capital Market IT

AI/ML Software Developer Internship

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

• Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office)” for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

-          Envisioning and preparing the Bank’s futures information systems

-          Partnering and supporting banking business and transverse areas in their development projects.

-          Providing premium In-house Banking applications,

• This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.
• We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

The Department and position

The department is responsible for development and maintenance of Capital Market applications used by worldwide users.

The candidate will be involved with many front line IT professionals who understand the nature of business operations, timing of activities & data flowing through internal and external systems. The candidate will also be in touch with business users, infrastructure engineer and system managers.

The candidate will join the Singapore Capital Market Treasury/ALM IT team in charge of development and maintenance of TSY Front Office Information systems.

The team works closely with other upstream and downstream systems such as –Back Office, Risk and Regulatory applications (Orchestrade, Summit, Calypso, MASAI, EFIRA etc.) coordinating the end-to-end workflow.

The Team also works to build new capabilities for system enrichments, optimization, automation, launching new business products etc.

Mission

As an intern, your mission is to become a valuable asset to our organization by:

• Coordinating with People: Building strong collaborative relationships within the team and stakeholders.
• Business Analysis: Providing functional business analysis for capital markets, gaining understanding about treasury and capital markets and documenting business requirements for agile software development.
• Automation: Appetite for continuous improvement and automation. Demonstrating a deep passion for software development, especially in Java, Python, Shell Scripting and SQL.
• Interest in Investment Banking: Apetite to understand the business activities of the bank on Capital Markets.

Objectives

• Gather and Prepare Data

-          Develop and maintain data pipelines to ensure data integrity and consistency.

-          Work closely with data/business owners to ensure data quality and availability for model training.

• Model Development

-          Develop AI/ML models using Python and relevant frameworks such as TensorFlow, PyTorch, and scikit-learn.

-          Implement and maintain model training, validation, and testing processes.

-          Deploy models in a production environment and ensure they are integrated with existing systems.

• Participation in MLOps Implementation

-          Continuous Integration: Participate in CI/CD pipeline setup to streamline model development, training, deployment and evaluation of models.

• Retrain Model:

-          Automate the process of retraining models based on new data.

• Model Performance Evaluation and Reporting

-          Performance Metrics: Establish metrics to evaluate model performance.

-          Regular Reporting: Generate regular reports on model performance and compliance.

• Collaboration:

-          Collaborate with cross-functional teams to ensure AI/ML models align with business objectives and user needs.

During your internship, you will have the opportunity to:

• Learn about Capital Markets and Treasury: Multiple applications covering investment banking workflows related to Funding Management, Liquidity and Risk Management.
• Benefit from the guidance of a dedicated mentor.
• End to end understanding of TSY/ALM wokrfkow encompassing pre-trade to post-trade.
• Automate operational processes for application monitoring and user communication.
• Deliver on jobs that directly impact the bank’s day-to-day activities and witness the added value of your job directly from business lines.
• Contribute with creative ideas to improve systems and processes.

Qualifications and Profile

Candidates should have:

• Familiarity with frameworks such as Scikit-Learn, Keras, Tensor Flows etc..
• Understanding of tracking data attributes using ML methods.
• Strong analytical and problem-solving skills.
• Enthusiasm and eagerness to learn and excel in the IT field.
• Excellent Aptitude, Curious to learn and inquisitive.
• Excellent communication and interpersonal skills.
• Autonomous, self motivated and excellent team player.
• Fluency in English - as acting in a multi-cultural environment.

The scope will be adapted depending on the situation and the progress of the trainee.

Education:

•  Bachelor’s degree in Computers Science/IT or equivalent domain.