Data Engineer, Director P4, Institutional Securities Technology at Morgan Stanley

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, APIs, Data Architecture, Performance Optimization, Concurrent Programming, Microservices Design, Machine Learning, Data Science, Real-Time Processing, Batch Processing, Data Workloads, Communication, Collaboration, Financial Assets, Valuation Models, Data Pipelines

Industry

Financial Services

Description

You will work closely with quants and traders across 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. Develop and optimize data architectures to support real-time and batch processing. 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. Established experience with Python and Python ecosystem. Experience with performance optimization, concurrent programming and microservices design. Experience supporting or deploying ML models in production adds significant value. At our 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 our more than 80,000 employees in 1,200 offices across 42 countries. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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. We're committed to bringing passion and customer focus to the business. Flexible work statement: Interested in flexible working opportunities? Speak to our recruitment team to find out more. Equal opportunities statement: 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. 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. 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. 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.

Responsibilities

You will design, develop, deploy, and support an innovative data science environment while working closely with quants and traders. Additionally, you will analyze and optimize performance of large data workloads and provide support and design advice to users of the cross-asset platform.