Lead Software Engineer

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:
 
The Development family is responsible for creating, designing, deploying, and
supporting applications, programs, and software solutions. May include research,
new development, prototyping, modification, reuse, re-engineering, maintenance,
or any other activities related to software products used internally or
externally on product platforms supported by the firm. The software development
process requires in-depth subject matter expertise in existing and emerging
development methodologies, tools, and programming languages. Software Developers
work closely with business partners and / or external clients in defining
requirements and implementing solutions. The Software Engineering role
specializes in planning, documenting technical requirements, designing,
developing, and testing all software systems and applications for the firm.
Works closely with architects, product managers, project management, and
end-users in the development and enhancement of existing software systems and
applications, proposing and recommending solutions that solve complex business
problems. 

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

With over 50 years of experience, DTCC is the premier post-trade market
infrastructure for the global financial services industry. From 20 locations
around the world, DTCC, through its subsidiaries, automates, centralizes, and
standardizes the processing of financial transactions, mitigating risk,
increasing transparency, enhancing performance and driving efficiency for
thousands of broker/dealers, custodian banks and asset managers. Industry owned
and governed, the firm innovates purposefully, simplifying the complexities of
clearing, settlement, asset servicing, transaction processing, trade reporting
and data services across asset classes, bringing enhanced resilience and
soundness to existing financial markets while advancing the digital asset
ecosystem. In 2024, DTCC’s subsidiaries processed securities transactions valued
at U.S. $3.7 quadrillion and its depository subsidiary provided custody and
asset servicing for securities issues from over 150 countries and territories
valued at U.S. $99 trillion. DTCC’s Global Trade Repository service, through
locally registered, licensed, or approved trade repositories, processes more
than 25 billion messages annually. To learn more, please visit us
at www.dtcc.com [http://www.dtcc.com/] or connect with us on LinkedIn
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DTCC 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
[https://www.dtcc.com/clearance-settlement-guide/index.html#/dashboard].

To 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.