Software Engineer – AI & Continuous Improvement

Are you a software engineer who enjoys finding smarter ways to build, test and support technology?

Join Morgan Stanley’s Global Risk Store team in Budapest and work on a platform processing billions of position, risk and profit-and-loss records every day. In this role, you will combine hands-on software engineering with automation, AI-assisted development and continuous improvement to solve real problems and make engineering workflows better.

We offer:

• Contingent/Leased assignment working onsite at Morgan Stanley
• Contract via a third-party agency
• The opportunity to work on a business-critical Equity Derivatives risk data platform
• Hands-on exposure to AI-assisted development, automation and engineering improvement initiatives
• The chance to learn
  Q/KDB+
  while working with technologies including
  Python, Java, Linux and SQL
• An international environment, collaborating with colleagues across Budapest, London and New York
• A role where you can take an idea from problem identification through to a working solution

You will:

• Identify opportunities to improve development, testing, support and delivery processes
• Build practical automation solutions that reduce manual work and improve quality
• Use AI-assisted development and automation tools to improve testing, documentation, diagnostics and engineering workflows
• Investigate complex systems and data flows and turn recurring problems into improvement opportunities
• Build and enhance automated testing solutions
• Explore emerging technologies and identify practical ways to use them within the team
• Analyse production incidents and contribute to root-cause analysis
• Take ownership of improvement ideas and turn them into working solutions

You have:

• Hands-on experience developing applications or automation solutions
• Programming or scripting experience with
  Python, Java or another relevant language
• Experience with automated testing or improving test coverage
• Good analytical and problem-solving skills
• Basic experience with
  databases, SQL, data analysis or reporting
• Confidence working in a
  Linux
  environment and with command-line tools
• Familiarity with tools and practices such as
  Git, code reviews and Jira
• A proactive mindset and an interest in improving the way software is developed and supported
• Strong English communication skills

You might also have:

• Experience with AI-assisted development or AI-powered automation
• Exposure to APIs, system integrations or distributed systems
• Understanding of batch or real-time data processing
• Production support experience
• Knowledge of financial markets, trading, risk data or regulatory reporting
• Previous exposure to
  Q/KDB+
  , although this is not required

Team profile:

The Global Risk Store team collects and distributes position, risk and profit-and-loss data for Morgan Stanley’s Equities Derivatives business. Its platform processes billions of records every day and supports trading desks, risk managers and back-office teams across the Firm.

The technology stack is centered around Q/KDB+, alongside Java, Python and other supporting technologies, with team members based in Budapest, London and New York.

This role sits on the business-facing side of the platform and is ideal for someone who does not just want to deliver requirements, but enjoys asking
“How could we make this better?”
and then building the solution.

About us

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 40 countries, the Firm’s employees serve clients worldwide including corporations, governments, institutions and individuals.

Our Budapest office is a key technology and business services hub, offering the opportunity to work on global systems and collaborate with colleagues across Morgan Stanley’s international organization.