> Markdown version of [/jobs/ext/3843203-apps-dev-tech-sr-lead-analyst-sr-vice-president](https://www.wearedevelopers.com/jobs/ext/3843203-apps-dev-tech-sr-lead-analyst-sr-vice-president). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Apps Dev Tech Sr Lead Analyst - Sr. Vice President

- **Company:** Citi
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $176,720.0 - $265,080.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Business Analytics Applications, Data Analysis, Apache HTTP Server, Big Data, Computer Programming, Databases, Data Security, Data Structures, Software Debugging, Python (Programming Language), Online Analytical Processing, Software Engineering, Apache Spark, Information Technology, Druid, Drilldown
- **Published:** October 20, 2026
- **Apply:** https://citi.wd5.myworkdayjobs.com/2/job/Jersey-City-New-Jersey-United-States/Apps-Dev-Tech-Sr-Lead-Analyst---Sr-Vice-President_26989009/apply

## About the Role

* A true passion for data, analytics, and solving complex problems at massive scale.
 * A degree in a quantitative or technical field such as Computer Science, Financial Mathematics, or Financial Engineering.
 * Expert-level, hands-on experience with big data technologies, particularly Apache Spark.
 * Proven experience with high-performance OLAP databases such as Apache Pinot, Apache Druid, or Trino.
 * Strong programming skills in Python, Java and/or Scala, and expert-level SQL.
 * Strong background in fundamental computer science concepts, including data structures and algorithms.
 * A mindset for 'AI-first' development, constantly looking for ways to embed intelligence into systems.
 * Experience or a strong interest in applying Natural Language Processing (NLP) to data access and analytics.
 * A knack for solving 'needle in a haystack' problems, with a talent for debugging complex data and access issues.
 * Experience in the financial industry with an understanding of market risk, derivatives, and risk calculations (VaR, Stress Testing, PV) is highly desirable.
 * Exceptional problem-solving skills and the ability to work independently and lead technical projects.
 * Excellent communication skills, with the confidence to collaborate with senior business and quantitative stakeholders., * Bachelor's degree/University degree or equivalent experience

## Description

* Architect and build robust, scalable data pipelines to ingest and process billions of trade-level PV calculations from various stress engines.
 * Develop and optimize large-scale aggregation jobs using Apache Spark, ensuring high performance and efficiency.
 * Design and deliver a suite of "intelligent data APIs" that provide flexible, on-demand access to both aggregated and non-aggregated risk data for teams across the firm.
 * Integrate Natural Language Processing (NLP) capabilities to create intuitive, query-based interfaces for data exploration, lowering the barrier to entry for complex analytics.
 * Load and model massive aggregated datasets into high-performance OLAP engines like Apache Pinot, Apache Druid, and Trino.
 * Build powerful, interactive analytical tools and dashboards on top of the OLAP layer, providing summary views and lightning-fast drill-down capabilities.
 * Partner directly with senior stakeholders in the Front Office, Quantitative teams, and Risk Management to understand their analytical needs and deliver innovative solutions.