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Morgan Stanley

Python & Machine Learning Developer - Director - Software Engineer

Posted 24 Days Ago
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In-Office
Mumbai, Maharashtra, IND
Senior level
In-Office
Mumbai, Maharashtra, IND
Senior level
The Python & Machine Learning Developer will build scalable solutions, enhance applications, troubleshoot existing code, and evaluate ML models while collaborating across teams.
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Python & ML Developer - Director - Software Engineering

Profile Description

We are looking for a skilled Python & Machine Learning Developer to build scalable data-driven solutions and enhance existing applications within our technology ecosystem.

FRRPE_Tech

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.

Operations Technology

Operations Technology develops and maintains systems in support of Morgan Stanley's global Operations , including (but not limited to) Settlements, Confirmations, Regulatory Reporting, Position Keeping, Corporate Actions processing and other post-trade functions. Operations Technology is a global organization that is client-focused and functionally aligned. Our organization is built to support our clients functional, regional and business-facing requirements while delivering innovative technology and ensuring plant and processing stability. The Firm operates at scale with up to 40 million trades processed on peak volume days and hundreds of billions of dollars of daily settlements with activity ongoing in multiple countries and currencies across the globe. There is a great breadth of financial products that our Operations plant handles across equity and fixed income, from cash products to complex derivatives and loans.

Software Engineering

This is a Director position that develops and maintains software solutions that support business needs.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.
 

What you’ll do in the role:

We are looking for a skilled Python & Machine Learning Developer to build scalable data-driven solutions and enhance existing applications within our technology ecosystem. The ideal candidate brings strong hands on experience in Python, core ML algorithms, data processing libraries, and CI CD workflows. You will own development tasks end to end from requirement analysis to production deployment-while collaborating closely with cross-functional teams.
Key Responsibilities
Analyze, troubleshoot, and resolve issues in existing Python code and ML workflows.
Develop clean, efficient, and maintainable Python code for new and existing applications.
Own assigned tasks end to end: requirement gathering, design, implementation, testing, and production rollout.
Build, tune, and evaluate ML models (supervised, unsupervised, classification, clustering).
Collaborate across teams and contribute throughout the SDLC documentation, deployment, and ongoing support.
Work with Autosys, Git GitHub, CI CD pipelines, Unix systems, and SQL databases as part of daily development. 

What you’ll bring to the role:

Mandatory Skills

  • Strong Python development experience (debugging and writing optimized code)

  • Supervised & Unsupervised ML, Classification models, K Means clustering

  • Model evaluation & performance tuning

  • NumPy, Pandas, SciPy, scikit learn, Matplotlib

  • Autosys, Git, GitHub, CI CD (Jenkins)

  • Unix/Linux commands, SQL

Good to Have

  • Snowflake

  • Java Perl

  • Angular

  • Azure Cloud

  • GenAI tools (e.g., Copilot)

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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