Crédit Agricole Corporate and Investment Bank (ISAP Singapore) Careers

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 12th 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 core banking flagships and transverse areas in their large scale 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 Data Quality (smartDQ) IT team in charge of development of Data Quality management products.

The team works closely with other upstream and downstream systems such as – Front and Back Office applications (Orchestrade, Summit, Calypso, Murex etc.), helping them to implement smartDQ products.

The Team also works to build new capabilities for smartDQ products.

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 regulatory compliance topics 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: Appetite to understand the business activities of the bank on Capital Markets.

During your internship, you will have the opportunity to:

• Learn about Capital Markets and Regulatory Reporting: Multiple applications covering investment banking workflows related to local and international Regulatory Reporting requirements for MAS, HKMA, KRX, JFSA, EMIR, MIFID, and CFTC etc.
• Benefit from the guidance of a dedicated mentor.
• End to end understanding of Data quality tracking in scope of regulatory reporting.
• 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.

Objectives

• Gather and Prepare Data

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

-          Work closely with data 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.

Qualifications and Profile

Candidates should have:

• Familiarity with frameworks such as Scikit-Learn, Keras, Tensor Flows etc..
• Understanding of tracking data quality 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.