Senior Software Engineer - Python - VP

Reposted Yesterday
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Paris, Île-de-France, FRA
Hybrid
Senior level
Fintech • Financial Services
The Role
Lead design, develop, deploy and support a performant Python backtesting framework for quants, traders and researchers. Provide technical leadership, define architecture and roadmap, ensure code quality and automated testing, collaborate with stakeholders, and grow a global team supporting quantitative index strategies.
Summary Generated by Built In

We’re seeking someone to join our team as a senior software engineer within 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.

Morgan Stanley is seeking a collaborative, hands-on Python developer to help build out a backtesting framework for researchers, financial engineers, quants, and strategists. We are seeking a senior developer, passionate about good practices, testing, ensuring code quality, and using reusable design patterns in order to expand and consolidate a robust and performant framework.
 
This is a rapidly-growing and high-priority area, and the growth in users and user-cases has warranted the investment from the business to greatly expand the team globally. You will work closely with quants and traders on multiple trading desks to design, develop, deploy and support a backtesting framework answering to the business needs of varied stakeholders and use-cases within the Quantitative Index Strategy business. You will work within a global team in an agile environment, so strong communications skills are very important. As the framework grows, the business stakeholders will grow as well.

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 lead software engineer at VP 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, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Provide technical leadership and vision for software development projects.

  • Define technical architecture and roadmap for large-scale, mission-critical systems.

  • Establish and communicate departmental goals and objectives aligned with business priorities.

  • Foster a culture of innovation, collaboration, and continuous learning within the team.

  • Develop and maintain relationships with key stakeholders to ensure project success.

  • Oversee the execution of software development projects, ensuring quality and on-time delivery.

  • Drive the recruitment and retention of top technical talent for the team.

  • Collaborate with senior leadership to shape technology strategy and roadmap.

  • Represent the software engineering team in cross-functional discussions and planning sessions.

What you'll bring to the role:

  • Experience developing & designing distributed systems in Python 

  • Experience libraries such as numpy, pandas, polars or others to work with large datasets in a performant way

  • Focused on engineering excellence – building software and systems that scale through a focus on automated testing, code quality, and continuous deployment

  • Solution-oriented and can work with the business to build scalable solutions to business needs

  • Thorough understanding of programming fundamentals such as OOP, data structures and algorithm design

  • Strong enthusiasm for code quality, and desire to build long-standing and stable systems

  • Strong communication skills, both technical and otherwise, that can be leveraged to collaborate with a diverse set of stakeholders

Nice to have:

  • Track record working in front-office environment with trading and quantitative strategists

  • Knowledge of, or interest in equities / options / futures / ETF / structured products

  • KDB knowledge or experience with another high-performance timeseries database

  • Experience in designing parallelizable computational code

  • Knowledge of common python data engineering stack 

#LI-LM1

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.

Certified Persons Regulatory Requirements:
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.
Flexible work statement
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: https://www.morganstanley.com/people-opportunities/eeo.

Skills Required

  • Experience developing and designing distributed systems in Python
  • Experience with NumPy, pandas, Polars or similar libraries for large, performant dataset processing
  • Strong focus on engineering excellence including automated testing, code quality, and continuous deployment
  • Thorough understanding of OOP, data structures, and algorithm design
  • Ability to work with business stakeholders to design scalable solutions
  • Strong technical and interpersonal communication skills
  • Technical leadership experience (defining architecture, roadmap, and leading engineering delivery)
  • Track record working in front-office environment with trading and quantitative strategists
  • Knowledge of equities, options, futures, ETFs or structured products
  • KDB knowledge or experience with another high-performance time-series database
  • Experience designing parallelizable computational code
  • Familiarity with common Python data engineering stack

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Parental & Family Support Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
  • Healthcare Strength Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
  • Equity Value & Accessibility Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.

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The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

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