Data Tech Leader

Contenu de l'offre Data Tech Leader chez Morgan Stanley

Data Tech Leader



 

Job Number:

  3223191

Posting Date

:  Sep 8, 2022

Primary Location

:  Europe, Middle East, Africa-France-France-Paris


Education Level:  Bachelor's Degree

Job

:  Development


Employment Type:  Full Time


Job Level:  Vice President


 

Description

Institutional Securities Technology, Data Tech Lead, Paris
About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management 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.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Risk and Data Analytics Centre, Paris
As we see increasing client interest in quantitative strategies, maintaining, and enhancing our leading position in risk analytics and technology is critical to our Institutional Securities Group (ISG) businesses globally. The seamless collaboration between technologists and ISG personnel, including data scientists, financial engineers and quantitative analysts helps to deliver innovative tools and solutions that differentiate us from our competitors.
Morgan Stanley is establishing a new Risk & Data Analytics (R&D) Centre in Paris, where it will support our growth strategy for ISG both in EMEA and more broadly. The Centre will deliver cutting-edge, proprietary solutions to address the rapidly changing business needs of our sales and trading franchise while providing a platform to foster innovation for our markets businesses, driven by analytical and technological excellence.
Technology at Morgan Stanley
Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have a large number of award winning technology platforms that help to propel our Firm's businesses to be the top in the market. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.
What will you be doing?
Morgan Stanley is seeking a collaborative, hands-on Python developer to help build out its global data science environment for quants, sales and trading. We are seeking a senior engineer to build a solid foundation for this new platform.
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 the innovative data science environment that utilizes the latest Python ecosystem. You will work within a global team in an agile environment, so strong communications skills are very important. As the platform grows, the business stakeholders will grow as well.
Where will you be working?
- 61, rue de Monceau, 75008 Paris
- We integrate global expertise with regional knowledge of France to offer clients outstanding services in investment banking, sales and trading, real estate and distribution of investment management products
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.

 

Qualifications

What we're looking for:
- Experience developing & designing systems in Python that work with large datasets
- Experience with using libraries such as numpy and pandas 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 skills that will help you in the role:
- Experience with Azure and/or Cloud Devops
- Knowledge of or interest in financial products
- Python data engineering stack including libraries such as Numpy / Pandas / Dask / Plotly / Spark