SVP Applications Development Tech Senior Lead Analyst

• Lead hands-on implementation and architecture of Ab-Initio/Big Data frameworks for scalable, resilient, and performant applications.
• Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge.
• Enforce industry-standard SDLC best practices and contribute to code quality through reviews.
• Collaborate with cross-functional teams (Liquidity , Capital, FP&A) for seamless delivery.
• Drive development for Stress Testing and Regulatory Risk projects in the Liquidity domain.
• Manage project technical aspects, including planning, governance, and taking ownership of initiatives.
• Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines.

We are seeking a highly experienced and technically proficient Senior ETL Application Developer with 14+ years of hands-on experience to design, develop, and deliver critical, scalable, highly available, and performant applications. This role demands deep technical expertise, a strong focus on execution, and a proven ability to deliver robust software solutions, particularly within Liquidity and financial forecasting domains., * 12+ years of hands-on experience in Application Development, primarily with Ab-Initio.

• Expert-level Python 3.x proficiency for scalable, resilient, and high-performance applications.
• Designing and delivering ETL solutions focused on expanding and maintaining a centralized reference data platform
• Developing Ab Initio graphs and plans using Graphical Development Environment (GDE) and Co-Op with continuous and batch processing along with Data Quality checks applied
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
• Highly experienced with Unix-based operating systems.

II. Quantitative & Risk Domain:

• Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries.
• Sound understanding and exposure to various Risk Methodologies.
• Exposure to mathematical modeling/finance insights.

III. Artificial Intelligence (AI) Integration (Exposure):

• Exposure to AI/ML tools and frameworks
• Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.
• Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
• Understanding and practical application of Generative AI concepts in software development.

Professional Skills:

• Deep understanding and practical experience with Agile/Scrum methodologies.
• Exceptional ability to manage priorities and tasks effectively.
• Strong analytical, logical, systems thinking, and critical analysis skills.
• Excellent written and verbal communication for diverse audiences.
• Ability to work independently, take ownership, and collaborate effectively in global teams.

Desirable Qualifications:

• Hands-on Ab Initio experience (graphs, plans, PDL, DML) and a track record designing and developing ETL pipelines/services.
• Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.