# Production Support Analyst, Reference Data: Associate at Morgan Stanley

AI Level 1, AI centrality 0 out of 100. Tokyo, Japan.

## Details

- Company: [Morgan Stanley](https://jobsbylevel.com/companies/morgan-stanley)
- AI level: AI Level 1 (score 0 out of 100)
- Location: Tokyo, Japan
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/fb23e9c8-1d33-4956-bb39-db1754c87bd1

## Description

We offer: To work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork State-of-the-art offices that are designed to maximize collaboration Flexible working arrangements Enriching challenges that provide opportunity for constant learning and advancement An environment which is leveraging technology to its highest potential Team Profile: Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. Our clients include Fixed Income, Equities, Commodities, Investment Banking, Research and Global Capital Markets. Position Description: We are looking for a Production Support analyst to join the Reference Data team - Interested in distributed systems and working with high-scale services. Likes to work in a fast-paced dynamic environment and not afraid to change things to make them better. Enjoys new technological challenges and solving hard problems. Believes that a team working well together is truly smarter than the single smartest person on that team. Aspires to grow as a person, as a team player with solid knowledge of the systems flow. Aspires to join a global production support team focused on improving production plant and stability for the systems and building relationships with the downstream consumers of the systems. Has grit, drive and a deep feeling of ownership. Responsibilities: On a typical day, a Production Support Analyst will primarily be responsible for monitoring system alerts, incident management, problem management and user escalations/tickets via ServiceNow. You will use your expertise to tune and push our systems beyond their normal limit. You will troubleshoot issues across the entire stack: software, application and network. You will identify and drive opportunities to improve automation for the company; scope and create automation for deployment, management and visibility of our services. Participate in SRE improvements towards the stability of the plant. Represent the Reliability & Production Support (RPE) organization in application design reviews and operational readiness exercises for new and existing services. Operate on a follow-the-sun support model, with global production support coverage in Asia, EMEA and North America. You will participate in weekend and off hours on-call rotation, and be point of escalation during critical incidents Qualifications: Skills Required: Bachelor in Computer Science, Computer Engineering or related technology field Strong Hands on knowledge in SQL server, Sybase and DB2 or MongoDB Knowledge of UNIX/LINUX operating system level concepts such as processes, memory allocation, and the network stack and commands. Strong Hands-on in SQL, Shell Scripting, Python, Perl, JavaScript Knowledge in scheduling tools such as AutoSys, Crontab, Control-M Must thrive in a high-pressure environment and enjoy working on new challenges. Knowledge of ITIL Principles and SDLC flow along with Agile development practices Able to identify gaps and opportunities to reduce manual tasks, automate work and be familiar with the AI tools such as co-pilot Knowledge of Finance to communicate effectively with business clients as well as internal/external stakeholders. Knowledge of cloud and related technology Similar work experience of 5~8 years of experience. Skills Desired: Knowledge and experience in the banking industry Knowledge in equities and fixed income products would be advantageous Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, Docker) etc. and data streaming technologies like Spark, Kafka etc. Hands on experience on enterprise tools set such as Grafana, Dynatrace, AppDynamics, and BMC etc. Experience in software development: automation-related experience valued in particular. Scripting languages such as bash, python, ruby, or

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Source: https://jobsbylevel.com/jobs/production-support-analyst-reference-data-associate-at-morgan-stanley-ee4fd2

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