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DTCC

Clears and settles securities trades for financial firms

Data Science Director

AI ResearchConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A bachelor's degree in an appropriate field of study is required.
  • At least 10 years of relevant experience in data science, machine learning, or applied AI, including the ability to lead complex analytical and AI-driven initiatives.
  • Expertise in machine learning and AI techniques, including statistical modeling, generative AI, large language models, and modern AI frameworks.
  • Experience researching and prototyping emerging AI technologies, including agent-based systems, prompt orchestration, and advanced AI experimentation methodologies.
  • Strong data and analytical skills, including proficiency in SQL and modern data platforms such as Snowflake or other large-scale data environments.
  • Ability to design and evaluate AI experiments and prototypes, translating research insights into clear technical recommendations and architectural guidance for engineering teams.
  • Ability to identify emerging technologies, assess their relevance, and explore new approaches to complex problems.
  • Ability to articulate complex AI concepts and research findings to technical and non-technical stakeholders.
  • Technical leadership and mentoring experience, including guiding data scientists and contributing to best practices in AI research, experimentation, and evaluation.

Responsibilities

  • Define the technical vision and AI strategy, including adoption of technologies such as generative AI and large language models.
  • Hire, mentor, and lead data scientists, fostering professional growth and building a high-performing team.
  • Oversee end-to-end delivery of data science projects, from conception through deployment, including MLOps.
  • Partner with Product, Engineering, and Business leaders to align data initiatives with business objectives and maximize return on investment.
  • Ensure high standards for data modeling, machine learning algorithms, and analytical methodologies.
  • Set standards for data collection, quality, and usage across the organization.
  • Define key performance indicators and track the effectiveness of models and data initiatives.
  • Drive AI research, experimentation, and innovation initiatives to shape AI capabilities.
  • Explore emerging machine learning, generative AI, and agent-based system techniques and evaluate their applications to organizational problems.
  • Lead the design and development of proof-of-concepts and prototypes demonstrating AI capabilities, collaborating with engineering and product teams to turn ideas into technical approaches suitable for enterprise-scale implementation.

About the Company

DTCC

Clears and settles securities trades for financial firms

DTCC provides the systems financial firms use to complete securities trades after buyers and sellers agree a transaction. Broker-dealers, banks and asset managers use its services to match trade details, calculate obligations, move securities and report transactions. Its NSCC and FICC subsidiaries clear equity and fixed-income trades, while DTC holds securities and handles settlement and payments such as dividends. By offsetting obligations between firms, its clearing services reduce the securities and cash that must change hands, and its repositories maintain derivatives transaction records for regulatory reporting. The parent was established in 1999 and is headquartered in Jersey City, New Jersey.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Jersey City, NJ
Founded
1999

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