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Morgan Stanley

Director Software Product Management & RE

Morgan Stanley is hiring a Director Software Product Management & RE in New York, United States. It pays $160k-$170k a year and Level rates it ; you can apply on Morgan Stanley.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as an executive role.
  • Morgan Stanley has 1,100+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Company Profile:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

What you’ll do in the role:

Morgan Stanley Services Group, Inc. is seeking a Director Software Product Management & RE in New York, New York to provide best-in-class reliability engineering services for the Firm's flagship fixed income derivatives pricing and risk management system. Interact in person daily with sales and trading desks across fixed income and support them in the usage of critical systems for pricing and risk management. Troubleshoot issues across the entire technology stack. Provide capacity planning, infrastructure management, stability management and downstream data delivery. Aggressively reduce toil and operational risk and broaden infrastructure and application observability by creating and deploying solution in Scala and Python. Able to understand the mechanics of interest rate and foreign exchange derivatives pricing and risk models to interpret the performance of the technical implementation of the models and efficiently construct communication channels between the business unit and development teams. Code proficiently in Scala and Python to create UI-based applications and perform code fixes in partnership with development and Strat teams. Analyze large data sets through statistical models to generate signals that can be used in assessing the stability of risk systems.

What you’ll bring to the role:

-Requires a Master’s in Financial Mathematics, Data Science, Computer Science or a related field

-Requires two (2) years of experience in the position offered or two (2) years as a Technology Associate, Software Engineer, or related role.

-Requires Two (2) years of experience with the following skills:

  • production systems support or application development on a trading floor; managing systems in a large scale distributed Unix/Linux environment;
  • Automation-related experience is required, using Python, Bash, and Perl;
  • developing UI-based applications in Scala to provide enablement and workflow optimization to a sales & trading business;
  • understanding of fixed income derivatives pricing and risk models, with hands on experience debugging pricing issues, and risk report processing delays;
  • handson experience applying the principles of System/Site Reliability Engineering (SRE);
  • designing and instrumenting dashboards through big data analysis in Splunk and Python;
  • Hands on experience on enterprise tools such as AppDynamics, and Grafana, with tangible experience creating Splunk-based observability tools;
  • GitHub or any automation/configuration/release management tools;
  • ability to reason through modern software and front-to-back systems architectures, including load-balancing, databases, queueing, caching, distributed systems failure modes, micro services, and Cloud;
  • Working ability to interact with message transport platforms and protocols (MQ, CPS, XML, FIX) and distributed database technologies (DB2, Sybase,Mongo, Postgres, KDB);
  • Practical experience with Autosys scheduling and batch processing concepts;
  • understanding of distributed computing, infrastructure and operating system concepts such as processes, memory allocation, and networking.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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.

Expected base pay rates for the role will be between $160,000 and $170,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

How we rate this

Director Software Product Management & RE at Morgan Stanley rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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