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).
Your Primary Responsibilities:
- Design and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic AI Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs) and frameworks such as LangGraph.
- Generative AI Application Development
- Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
- Develop robust evaluation metrics and benchmarks.
- Identify and address potential biases and limitations in LLMs.
- Develop and refine agentic workflows to empower AI systems to autonomously complete tasks.
Model Development and Deployment
- Design and develop machine learning models and algorithms to address business challenges and improve product features.
- Deploy machine learning models in production environments to ensure scalability and efficiency.
- Design, develop, and refine complex AI models, including traditional machine learning and generative AI models algorithms to address business challenges and improve product features.
- Deploy machine learning models in production environments to ensure scalability and efficiency.
- Optimize and refine models based on performance metrics and feedback.
- Architect scalable and efficient AI systems, ensuring optimal performance and resource utilization.
- Stay up-to-date with the latest advancements in AI research and technology.
Data Management
- Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.
- Implement data augmentation and feature engineering techniques to enhance model performance.
- Maintain and manage data pipelines to ensure seamless data flow and integration.
Research and Innovation
- Stay updated with the latest trends and advancements in AI and machine learning technologies.
- Conduct research to explore new methodologies and techniques that can be applied to current and future projects.
- Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions.
Collaboration and Communication
- Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.
- Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
- Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.
Performance Optimization and Scaling:
- Optimize AI models and systems for performance, latency, and cost-effectiveness.
- Implement strategies to scale AI solutions to handle increasing data volumes and user demands.
- Prioritize security, transparency, and privacy in AI development and deployment.
Team Leadership and Collaboration:
- Lead and mentor a team of AI engineers and data scientists.
- Collaborate with cross-functional teams to integrate AI solutions into business processes.
- Foster a culture of innovation and experimentation.
Talents Needed for Success:
- Bachelor's or Master’s degree in computer science, Statistics, Data Science, or a related field. Ph.D. in a relevant field is a plus.
- 7+ years of experience in Machine Learning and Data Science.
- Strong understanding of statistical methods, data structures, and algorithms.
- Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
- Experience building Agentic AI applications using Langgraph or similar frameworks
- Experience developing and deploying AI solutions on AWS cloud platform. Additionally, experience on Snowflake Cortex is plus.
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
- Proven experience in developing and deploying machine learning models in a production environment.
- Experience working with large datasets and performing data analysis.
- Previous experience in a similar role or industry is preferred.
- Excellent communication and collaboration skills.
- Strong problem-solving skills and analytical thinking
- Passion for learning and staying up-to-date with the latest advancements in AI field
Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation
About UsDTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork. When you join our team, you’ll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. It’s the chance to make a difference at a company that’s truly one of a kind.
Learn more about Clearance and Settlement by clicking here.
About the TeamTo maintain strong alignment between IT and the business, we are bringing together all Solutions-focused teams under a unified technology organization, IT Solutions. The newly-formed IT Solutions department combines Application Development and Enterprise Application Support functions, allowing us to leverage synergies to support the Solutions business lines.
Skills Required
- Bachelor's or Master's degree in computer science, statistics, data science, or a related field
- 7+ years of experience in machine learning and data science
- Strong programming skills in Python; experience with machine learning libraries and generative AI frameworks
- Experience building agentic AI applications using Langgraph or similar frameworks
- Proven experience in developing and deploying machine learning models in a production environment
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau
The Depository Trust & Clearing Corporation (DTCC) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Depository Trust & Clearing Corporation (DTCC) and has not been reviewed or approved by The Depository Trust & Clearing Corporation (DTCC).
-
Healthcare Strength — Medical, dental, and vision coverage are comprehensive and include mental health support, in-network preventive care, and company-supported HSA/FSA options. Company HSA contributions plus life, AD&D, and disability coverage further reinforce depth of protection.
-
Retirement Support — A 401(k) with company matching and references to pension-related benefits provide meaningful long-term savings support. Charitable contribution matching and financial-planning resources complement the core retirement offerings.
-
Parental & Family Support — Generous parental leave, adoption assistance, childcare benefits, and dependent care FSAs indicate strong support for families. Back-up care and specialized family health programs are highlighted as part of the package.
The Depository Trust & Clearing Corporation (DTCC) Insights
What We Do
With over 45 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 21 locations around the world, DTCC, through its subsidiaries, automates, centralizes and standardizes the processing of financial transactions, mitigating risk, increasing transparency and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm simplifies the complexities of clearing, settlement, asset servicing, data management, data reporting and information services across asset classes, bringing increased security and soundness to financial markets. In 2021, DTCC’s subsidiaries processed securities transactions valued at nearly U.S. $2.4 quadrillion. Its depository provides custody and asset servicing for securities issues from 177 countries and territories valued at U.S. $87.1 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes 16 billion messages annually. To learn more, please visit us at www.dtcc.com.
.jpeg)
