Senior Quantitative Software Engineer

We're seeking someone to join our team as a Senior Quantitative Software Engineer to work as part of the FIDCOM super department, with a focus on serving as the senior technology face off to our commodities leadership. There are various trading critical technologies which the candidate will own, ranging from market making engines to our ability to hedge on the iterbank market with algos and order management.

In the Technology division, 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. This is a Senior Quantitative Software Engineer position at Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

• Drive the development of innovative solutions, frameworks and best practices within the team's area of expertise
• Analyze complex datasets and synthesize insights into clear, actionable recommendations for technical and business stakeholders
• Design, develop and enhance client facing products while optimizing the performance, scalability and reliability of trading algorithms
• Identify and mitigate operational risks by designing robust controls, monitoring frameworks and governance processes
• Act as an L3 Subject Matter Expert, providing critical support during market stress events, production incidents and complex operational challenges

• At least 8 years' relevant experience would generally be expected to find the skills required for this role
• Experience in delivering complex technology initiatives and contributing to strategic technology roadmaps
• Ample communication skills, with the ability to articulate complex technical concepts to both technology and business leadership
• Deep expertise within the relevant domain, coupled with a strong understanding of industry trends and market dynamics
• Strong programming skills in Java or Scala, with an interest in developing deep expertise in Scala
• Knowledge of C++
• Proficiency in python or other scripting languages for automation and tooling
• Exceptional analytical and problem solving skills
• Interest in functional programming principles
• Curiosity to leverage different technologies in solving financial modelling and quantitative challenges

If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

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: