MSET QR Data Strats _ Manager _ Institutional Equity Division at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

0.0

Posted On

12 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Systems, Applications, Server Monitoring, UNIX Shell Scripting, Python, Perl, Linux Servers, Automation, Job Scheduling, CI/CD Pipelines, Git, Jenkins, KDB+, Sybase, Microsoft SQL Server, Java, C++

Industry

Financial Services

Description

The successful candidate will be a fast-learning, dynamic, pro-active and self-motivated individual who can assist the team in working with large data sets and providing maintenance and infrastructure support of the data systems, applications, and servers. The individual will collaborate closely with QR Data team and Technology to support and enhance the features, performance, and data quality of our data systems, applications, and databases. The key elements of the role are - Responsible for infrastructure, engineering, and operational application support. Monitoring of server & disk utilization along with daily jobs Configuring, onboarding, and maintaining dataset across regions and environments Construction of reusable components to process and access complex data. Explore large data handling applications and programming techniques. Monitor, report and action on exceptions related to Tech Hygiene items. We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative. 4+ years of experience as system analyst preferably in financial sector An understanding and practical application of software engineering development lifecycle UNIX shell scripting with Python and/or Perl Experience with Linux servers, filesystems, and automation setup for regular maintenance tasks. Working knowledge of job scheduling systems, such as Autosys Experience with designing and maintaining CI/CD pipelines with Git and Jenkins Bachelor's or master's Degree preferably in Computer Science & information technology Significant experience in any mathematical/high-level programming language such as Python/ Perl Strong written and verbal communication skills Understanding of KDB+ or other databases, such as Sybase or Microsoft SQL Server Development in other programming languages, such as Java, C++ Understanding of equity markets. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

The successful candidate will assist the team in working with large data sets and providing maintenance and infrastructure support of the data systems. They will collaborate closely with the QR Data team and Technology to enhance the features, performance, and data quality of the systems.