Data Engineer

Key Skills

Java Programming, Analytical and Problem solving, Design, Risk Analytics, Python Programming, Database, SQL, API, Machine learning techniques, Data science techniques, Natural Language Processing (NLP), NumPy, Pandas, Apache Airflow, Data Analytics, JupyterData, plotly, Flask, Data pipelines

Job Description

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

A Data Analytics and Platform team within the Institutional Securities Technology division is seeking a collaborative, hands-on developer to build best-in-class solutions for Data APIs, Data Governance, Data Quality, Security & Privacy, and Architecture. This role offers a unique opportunity to work in a state-of-the-art modern data stack using open-source technologies aligned with our cloud strategy. We are looking for a proficient developer who is excited about innovation, with a proven track record of delivery.

Roles and responsibilities include:

• You will work closely with quants and traders on multiple trading desks to design, develop, deploy and support the innovative data science environment
• Design widely used and flexible APIs to our core data and functionality 
• Analyze and optimize performance of large data workloads using compute clusters

• Stay up to date with emerging trends and tools in the data & analytics domain
• Provide support and design advice to users of the cross-asset platform 
• Work closely with strategists and other stakeholders to help move their financial assets, valuation models and data pipelines to the platform 
• Efficient Communication across regions and functions

Qualifications

What we’re looking for:

We have a number of roles available for a range of technologists at different experience levels to join the team who will need; 

• Excellent problem solving and code development skills
• Ability and interest to research, learn and implement new Data and Analytics technologies and paradigms
• Enterprise level software development practices

• Strong oral and written communication skills
• Strong team working ability in local and global teams
• Passion for continuous improvement both personally and as a team 

Skills that will help you in the role:

• Experience with at least one of the following technologies: Python and/or Java
• Experience with performance optimization and concurrent programming 
• Exposure to Flask/Numpy/pandas/Plotly/Jupyter/Airflow and general data science stack experience 
• Exposure to Natural Language Processing, Machine Learning and other advanced methods of Data Management 
• Exposure to grid distributed applications

• Exposure to KDB or other timeseries database technologies
• Exposure to Cloud technologies
• Exposure to Full Stack Web Development 
• Exposure to Risk Management systems and a wide range of Financial Instruments

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.

Equal opportunities statement:

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. #LI-MT1