Data Product Development - AI - Analytics- Assistant Vice President

Citibank (Switzerland) AG

Pune District

On-site

Confidential

Full time

14 days+

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Job summary

Citibank (Switzerland) AG is seeking a senior data analytics product engineer to drive the design, development, and deployment of enterprise-wide analytic products across Credit Risk, Market Risk, Liquidity or Capital. The role requires 9+ years of experience and deep expertise in data platforms, AI/ML, and distributed data processing.

You will engage with first line teams, Technology, and business product teams to dimension requirements, define a product vision, and deliver scalable data

Qualifications

  • Strong communication skills to present complex AI/analytics concepts to non-technical audiences.
  • Self-motivated, able to manage multiple projects in a fast-paced environment.
  • Experience designing scalable data analytic solutions in large-scale environments.
  • 9+ years of relevant experience.

Responsibilities

  • Proactively engage with business partners to define product vision for unified analytics platform.
  • Contribute to design, coding and deployment of enterprise-wide analytic products on structured/unstructured data.
  • Implement and manage data pipelines and analytical workloads for efficient processing.
  • Develop plans, coordinate design and delivery of products/features to release and act as product ambassador.

Skills

Strong communication
Self-motivated
Cross-functional collaboration
Analytical mindset

Tools

Python
Spark
Hive
Databricks
NoSQL
Linux
AI/ML frameworks

Job description

The Team sits within Citi's Enterprise Data Office and has a focus on serving our business partners across Credit Risk, Market Risk, Liquidity or Capital. This solution design and execution focused product development role will enable implementation of target state processes and data & technology capabilities, through engagement with 1st line teams, Technology, and individual business product teams.

What you’ll do
  • Proactively engage in outreach to different business partners to dimension requirements, pair with your knowledge of data availability, and work together to define a product vision for a unified analytics platform.
  • Proactively contribute to the design, coding and deployment of enterprise‑wide analytic products on structured and unstructured data.
  • Implement and manage data pipelines and analytical workloads, ensuring efficient data processing.
  • Develop plans, prioritize, coordinate design and delivery of products or features to product release, and serve as a product ambassador within the user community.
What we’ll need from you
  • Experience designing, and implementing scalable data analytical solutions in a large-scale business environment.
  • 9+ years of experience.
  • Experience in deep analytic focused work leveraging Distributed File System ecosystem tools: Linux, Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP).
  • LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server.
  • Domain experience in Credit Risk, Market Risk, Liquidity or Capital.
  • Experience in defining data strategy for advanced analytical initiatives, including data governance, sourcing, and ethical considerations, with demonstrated awareness of industry data practices.
  • Strong communication skills, with the ability to present complex technical concepts related to AI and advanced analytics to non‑technical audiences effectively.
  • A proactive and self‑motivated approach to managing multiple projects and priorities in a fast‑paced environment.
  • Project Management skills with experience leading large cross functional initiatives.
  • Keen attention to detail and process/analytic mindset.
What we’ll provide you

This role offers an unparalleled opportunity to build on your in‑depth domain knowledge and data analytics skills within a leading global bank. Every day will present new complex business challenges, allowing you to develop advanced skills and drive your career forward, both today and into the future.

  • By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week) but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits that support you (and your family) to be well, live well, and save well.
  • Alongside these benefits, 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.

Time Type: Full time

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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