Lead Data Scientist

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay and Benefits :

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal / Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible / hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact you will have in this role :

We're seeking a passionate, hands-on and AI / ML Engineer to join our dynamic Technology and Research team, where you’ll play a pivotal role in spearheading AI initiatives and innovation. As an AI / ML Engineer, you will design, develop, and deploy Artificial Intelligence systems that solve complex problems and drive our technological advancement.

Your Primary Responsibilities :

Generative AI Application Development

Model Development and Deployment

Data Management

Research and Innovation

Collaboration and Communication

Qualifications :

Talents Needed for Success :

Actual salary is determined based on the role, location, individual experience, skills, and other considerations.