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We are seeking a talented Application Support Analyst to join our dynamic Capital Market Department!
As Application Support Analyst you are responsible of supporting users of Capital Market applications by responding their requests and resolving their incidents. You play a pivotal role between Business and all other IT roles on Run related topics. You must follow Capital Market IT Run processes standards and recommendations shared by Run Control Tower team and as a member of support community you will have to contribute to their improvement.
Capital Markets IT involves technology solutions and systems used in financial markets for trading, investment, and related activities. This includes electronic trading platforms, risk management systems, market risk, counterparty risk, algorithmic trading, data analytics, and Regulatory measures. The use of advanced technologies like API's, artificial intelligence and cloud solutions are also becoming increasingly prevalent in capital markets to enhance efficiency and decision-making processes.
Main Responsibilities
Resolve incidents impacting users swiftly and efficiently. Thorough investigation and communication throughout the incident lifecycle. Proactive identification of workarounds. Effective coordination of stakeholders during significant incidents. Clear and timely communication to users, senior management, and other IT stakeholders.
Handle user requests promptly and effectively. Prioritizing requests based on urgency and impact. Escalating requests when necessary while remaining the primary point of contact for the user.
Drive sustainable solutions to prevent recurring issues. Identifying root causes of incidents and defining remediation actions. Proposing solutions such as feature development, automation, or online help updates for recurring requests.
Serve as the primary communication channel between IT and stakeholders. Collaboration with other support engineers, users, and other CMI and CAGIP stakeholders. Potential involvement in complementary tasks such as testing or business analysis.
Follow CMI Run processes, standards, and recommendations provided by the Run Control Tower, actively contributing to their improvement.
Qualifications and Profile
Technical
. Good knowledge in SQL, UNIX platform.
. Experiencein scripting languages such as Python, Shell script and PowerShell.
. Knowledge of DevOps tools & technologies like Gitlab, Ansible, Jenkins, Elastic Search, Grafana, Prometheus, Kibana, Control-M, KAFKA, Confluence, Jira, and MQ Series.
. Experience with Docker/Kurbernetes
. Knowledge of Cloud platforms and services
Nice to Have
Any Object-oriented language: Java, .Net
Domain-Driven design and Microservices: springboot
Exposure to Capital Markets applications
. Experience with automation frameworks and libraries.
Asia, Singapore
Bachelor Degree / BSc Degree or equivalent
Degree and above in relevant discipline
Other Professional Skills and Mindset
Excellent communication and interpersonal skills to effectively collaborate with diverse teams.
Excellent problem-solving and analytical skills.
Ability to work under pressure.
Appetite to follow technology trend and participate to communities.
Eagerness to learn and adapt to new technologies.
Strong perseverance and diligence towards attaining goals and effective time management.
Passion for sharing expertise and grow team members skills.
Autonomous, self-motivated, and excellent team player
Experience & Education Requirements
Candidates should have experience in relevant activities.
Master or Bachelor's degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties.
Candidates should have ITIL knowledge.
Crédit Agricole Corporate and Investment Bank is Crédit Agricole's corporate and investment banking entity. With a staff of 7,395 employees in 32 countries, Crédit Agricole CIB is active in a broad range of capital markets, investment banking and financing activities
Job ID: 148499891
Skills:
Kibana, PowerShell, Prometheus, Jira, Grafana, Sql, UNIX, Jenkins, Confluence, Docker, Mq Series, Ansible, Kafka, Elastic Search, Shell script, Gitlab, Python, Cloud platforms and services, Control-M
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