Jobs
Benefits & Perks
•Team events and activities
•Flexible work arrangements
•Professional development budget
•Parental leave
•Generous paid time off and holidays
•Flexible Hours
•Learning
•Parental Leave
Required Skills
PostgreSQL
Node.js
Python
We’re seeking someone to join our CDRR Technology team as a Python Developer in Tech Risk Gov & Controls (TRGC) someone with a skilled and proactive Mid-Level Backend Developer to join our dynamic team. The ideal candidate should have a strong foundation in real-time applications, microservices, and be comfortable supporting production environments, including troubleshooting and resolving production issues promptly. You will work collaboratively in an Agile environment and contribute to building, deploying, and maintaining robust backend systems.
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 Director position that develops and maintains 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.
What you’ll do in the role: Application Development:
Design, develop, and maintain scalable and efficient Python-based applications and services. Write clean, maintainable, and well-documented code following industry best practices.
Code Reviews and Mentorship:
Conduct code reviews to ensure code quality, performance, and adherence to standards. Mentor and guide junior developers, fostering technical growth within the team.
Integration and Automation:
Develop and maintain APIs and integrations with third-party systems. Automate repetitive tasks and workflows to improve efficiency.
Testing and Debugging:
Write unit tests, integration tests, and perform debugging to ensure high-quality deliverables. Identify and resolve performance bottlenecks and system issues.
Collaboration and Communication:
Work closely with product managers, DevOps, and other teams to deliver end-to-end solutions. Communicate technical concepts effectively to both technical and non-technical stakeholders.
Continuous Improvement:
Stay updated with the latest Python frameworks, libraries, and tools. Propose and implement improvements to existing systems and processes.
Data Handling and Analysis:
Work with large datasets, ensuring efficient data processing and storage. Implement data pipelines and ETL processes as needed.
What you’ll bring to the role:
-
Experienced professional with 7 years of development experience in Python
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2-5 years of experience in Angular/ any other UI development skills. Strong networking background – IP, Firewalls, Proxy, Routing, Load Balancing, OSI Model, Packet trace and analysis, etc.)
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Good understanding of the protocols underpinning the web
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TCP/IP, HTTP, SSL/TLS etc. (Ideal candidate would be able to intelligently dissect all 7 layers of the OSI stack) and troubleshoot.
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Hands on experience in understanding different data sets generated from various cybersecurity products/ services/ SIEM tools
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Understanding of data structures, data modelling and software architecture
Experience in architecture, design, and implementation of data intensive applications for practical use-cases. -
Practical knowledge of deep learning implementation in at least one of the areas Cyber, NLP, Image Processing
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Strong quantitative and problem-solving skills
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Expertise in visualizing large datasets in an efficient manner
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Ability to work in fast paced and dynamic environment
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Good written and verbal communication skills
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Strong sense of ownership and accountability of deliverables
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.
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.
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About Morgan Stanley

Morgan Stanley
PublicA financial services company that offers securities, asset management, and credit services.
10,001+
Employees
New York
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
3.0
Compensation
2.5
Culture
3.2
Career
3.0
Management
3.0
35%
Recommend to a Friend
Pros
Skills evaluation through business plans and projects
Direct access to senior leadership interviews
Conversational interview format
Cons
Automated resume screening system issues
Focus on formatting over qualifications
Compensation concerns and salary expectations
Salary Ranges
11,766 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
1,682 reports
$114,371
total / year
Base
$96,366
Stock
-
Bonus
$18,005
$77,808
$170,800
Interview Experience
6 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 16%
Neutral 84%
Negative 0%
Interview Process
1
Initial screening (HR/HireVue)
2
Technical rounds
3
Manager/Senior leadership interviews
4
Final round/Superday
Common Questions
Technical knowledge assessment
Behavioral questions
Role-specific scenarios
Leadership and teamwork examples
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