Were seeking someone to join our CDRR Technology team as a Data Scientist, in Fraud Department is critical for developing data-driven solutions to prevent fraud and reduce the Firm's exposure to economic loss.

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 manages and optimizes the technical environment and end-user experience across various workplace technologies for end-users, ensuring seamless operations and user satisfaction across the organization.

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 :

• The primary focus will be on building models that evaluate fraud risk across various scenarios, improving both our detection capabilities and operational efficiency.

• The position must be filled promptly to maintain compliance with expanding Model Risk Management requirements, support the modernization agenda, and meet the scale and scope demands of both Wealth Management senior leadership and second-line (ORD) leadership.

• The required skillset spans data analytics, traditional machine learning, advanced AI, and horizontal AIML capabilities, demanding deep and comprehensive experience.

What you'll bring to the role :

• 4+ years of AI/ML development experience

• Practical and applied experience using statistical or general-purpose programming languages (Python, R etc) to implement statistics-based analytics

• Experience using relational databases or distributed file systems (i.e., SQL, Hadoop) and related tools (Hive, Impala, Spark/PySpark, Tableau)

• Analytical, critical thinking and decision-making skills utilizing data extraction

• Excellent written and verbal communication skills

• Detail oriented with the ability and desire to work in a team environment

Good to have

• Previous experience in developing analytics that look for anomalous behaviour in large data sets

• Experience in developing an understanding of large data sets coupled with an ability to use that data to answer questions posed by business owners

• Understanding of fraud and security issues within the banking and finance industry

• Experience with data analytics in the context of fraud investigation, Financial Services, payment processing, and/or similar fields

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 thats differentiated and weve 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 - arent 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, youll 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. Theres 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.