Citi Group Python Data Engineer - AVP C12 Pune 

India, Maharashtra, Pune 

133017732

By Joining Citi, you will become part of a global organization whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

What you’ll do

• 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.

What we’ll need from you

• 8 to 12 Years experience
• Master’s degree or above (or equivalent education) in a quantitative discipline.
• 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 Gen AI applications 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.

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