Jobs
We are seeking a Lead Java Engineer into our Finance Technology Team at Morgan Stanley, which delivers innovative solutions for regulatory and financial reporting, general ledger, P&L calculations, and analytics. The team leverages advanced data platforms and modern engineering practices to support the firm’s finance division, ensuring accuracy, compliance, and strategic business insights.
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.
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:
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Lead the design, development, and delivery of scalable, enterprise-grade reporting and analytics solutions.
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Architect and implement robust software systems using Java, Angular, and other modern technologies, ensuring best practices in SDLC, code quality, and performance.
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Collaborate with business stakeholders, product owners, and cross-functional teams to define requirements, evaluate tools, and deliver innovative solutions aligned with business goals.
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Drive the adoption of GenAI, Copilot, and AI-driven development practices to enhance automation, reporting, and developer productivity.
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Mentor and lead a high-performing team of engineers, fostering a culture of technical excellence, continuous learning, and innovation.
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Manage stakeholder relationships, communicate project status, and proactively address risks and challenges.
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Promote agile methodologies, automated testing, and CI/CD pipelines for efficient and reliable software delivery.
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Stay current with emerging technologies and industry trends, and champion their adoption where relevant
What you'll bring to the role:
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At least 6 years’ relevant experience would generally be expected to find the skills required for this role
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Experience in software engineering, with a strong background in Java (Angular, and related technologies is a plus).
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Deep understanding of data structures, algorithms, design patterns, and modern SDLC practices.
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Proven experience building and scaling enterprise-level applications, preferably in cloud environments.
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Demonstrated experience leveraging GenAI, Copilot, or AI/ML tools for software development, automation, or reporting.
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Strong problem-solving, analytical, and communication skills.
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Experience leading and motivating high-performing teams and managing stakeholder relationships in a global environment.
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Business acumen and prior exposure to finance, investment banking, or related domains is an advantage.
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Proficiency in additional languages and frameworks (Python, SQL, databases, etc.) is a plus.
#BPTECH
#FT-1
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.
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About Morgan Stanley

Morgan Stanley
PublicMorgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City.
10,001+
Employees
New York
Headquarters
$150B
Valuation
Reviews
3.2
10 reviews
Work-life balance
2.5
Compensation
2.8
Culture
3.8
Career
3.2
Management
3.5
45%
Recommend to a friend
Pros
Nice and welcoming people/coworkers
Good career foundation and growth opportunities
Great management and benefits
Cons
Limited conversion to full-time positions
Poor compensation for junior employees
High turnover and branch politics
Salary Ranges
6,255 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
49 reports
$109,250
total per year
Base
$95,000
Stock
-
Bonus
-
$73,554
$143,750
Interview experience
5 interviews
Difficulty
3.2
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview process
1
Application Review
2
HR Screen/HireVue
3
Technical Interview
4
Superday/Final Round
5
Offer Decision
Common questions
Technical Knowledge
Behavioral/STAR
Finance/Investment Concepts
Case Study
Culture Fit
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