Senior Python Data Scientist

Citi is a world-leading global bank with approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services.

The FX Data Analytics & AI Technology team, within Citi's FX Technology organization, seeks a highly motivated Full Stack Data Scientist / Data Engineer. The team provides data, analytics, and tools to Citi FX sales and trading globally and is responsible for defining and executing the overall data strategy for FX.

The successful candidate will be responsible for developing and implementing data-driven models, and engineering robust data and analytics pipelines, to unlock actionable insights from our vast amount of global FX data. The role will benefit from close interaction with a wide range of stakeholders across sales, trading, and technology.

Role Overview/What will you do:

• Design, develop and implement quantitative models to derive insights from large and complex FX datasets, focusing on understanding market trends and client behaviour, identifying revenue opportunities, and optimising 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.

Key Skills and Experience required:

• 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.

What we'll provide you:

• 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

Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.