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Morgan Stanley

Actimize SAM Lead Engineer_ Vice President _Software Engineering

Posted 4 Days Ago
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In-Office
Mumbai, Maharashtra, IND
Senior level
In-Office
Mumbai, Maharashtra, IND
Senior level
Lead a small team in the development and design of ETL and data pipelines. Manage stakeholder communications and ensure delivery of AML Actimize SAM implementations and enhancements with a focus on data quality and operational efficiency.
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Actimize SAM Lead Engineer_ Vice President _Software Engineering 

We’re seeking someone to join our Cyber Data Risk & Resilience team as a Lead Software Engineer, in Non- Financial Risk Technology to manage, develop and design the ETL, Data Pipelines, Python, SQL.

Non-Financial Risk Technology provides operational controls, support for sustainable investing, business continuity planning, and surveillance capabilities to enhance the firm’s resilience to threats and fraudulent behavior.

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 a Actimize SAM Lead Engineer position at Vice President Level, which is part of the job family responsible for developing 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:

  • Lead end-to-end technical and functional delivery for AML Actimize SAM and ActOne implementations and enhancements.

  • Partner with business/AML stakeholders to translate regulatory and operational needs into clear functional specifications, user stories, and acceptance criteria.

  • Manage and mentor a small team of developers/analysts; provide technical direction, code reviews, and delivery planning.

  • Implement and maintain Actimize SAM models, rule evaluations, scenarios, and alert workflows; oversee model tuning and calibration activities.

  • Design, build, and optimize ETL/data pipelines feeding SAM (batch and/or near real-time), ensuring data quality, lineage, and reconciliation controls.

  • Develop and automate data analysis and operational tasks using Python (e.g., validation, profiling, alert analysis, reporting, tooling).

  • Write and optimize complex SQL for investigations, model calibration, data checks, and performance troubleshooting; demonstrate strong understanding of Actimize/UDM table structures.

  • Leverage AI tools (e.g., code assistants, document/requirements summarization, test generation) responsibly to improve delivery speed and quality.

  • Drive DevOps and release practices (Git-based version control, CI/CD where applicable, environment management).

  • Own stakeholder communications, RAID management, documentation, and governance across delivery and BAU support.

What you’ll bring to the role:

  • 10+ years of overall experience in AML/financial crime technology delivery, with 5+ years of hands-on NICE Actimize SAM implementation/support experience (including AIS/UDM table structures).

  • Strong understanding of Actimize SAM models, scenarios/rules, alert workflows, and model tuning/calibration concepts.

  • Expert-level SQL and strong database fundamentals; able to troubleshoot performance and data issues across large datasets.

  • Hands-on Python proficiency for automation, data analysis, and tooling; experience with common libraries (e.g., pandas) preferred.

  • Strong ETL/data engineering experience (source-to-target mapping, transformations, controls, reconciliation); exposure to cloud data platforms is a plus.

  • Experience using AI tools to accelerate delivery (e.g., code assistants, test generation, documentation summarization) with appropriate data/privacy controls.

  • Proven lead experience (small team management/mentoring) with strong stakeholder engagement, requirement analysis, and communication skills; Git and modern IDEs (e.g., Visual Studio/VS Code) desirable.

  • At least 6 years' relevant experience would generally be expected to find the skills required for this role.

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 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.

Top Skills

Actimize Sam
Cloud Data Platforms
ETL
Python
SQL

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