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Senior Python Data Scientist

https://www.citi.com/ Logo

Citi

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

The Senior Python Data Scientist role at Citi involves developing and implementing data-driven models, engineering robust data and analytics pipelines, and contributing to the overall FX data strategy. The position requires interaction with stakeholders across sales, trading, and technology to deliver impactful solutions. The role focuses on applying advanced data analytics and quantitative models in the context of financial data.

Job Responsibility:

  • Design, develop and implement quantitative models to derive insights from large and complex FX datasets, with a focus on understanding market trends and client behavior, identifying revenue opportunities, and optimizing the FX business
  • Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability
  • Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology
  • Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance
  • Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders.

Requirements:

  • Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate
  • Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc.)
  • Experience developing and implementing quantitative models from data in a financial context
  • Proficiency working with version control systems such as Git, and familiarity with Linux computing environments
  • Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc.
  • Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools
  • Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences
  • Ideally, some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes
  • Ideally, some familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark/Ignite or other caching and analytics technologies
  • A working knowledge of FX markets and financial instruments would be beneficial.

Nice to have:

  • Some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes
  • Some familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark/Ignite or other caching and analytics technologies
  • A working knowledge of FX markets and financial instruments would be beneficial.
What we offer:
  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources.

Additional Information:

Job Posted:
May 02, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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