Senior Java Developer - Vice President

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Most Relevant Skills

Other Relevant Skills

Qualifications

• 10+ years of experience with Strong programming skills in Python, Java and/or Scala, and expert-level SQL.
• 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 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.
• Technology
• Applications Development
• Full time
• Most Relevant Skills
• Please see the requirements listed above.
• Other Relevant Skills
• For complementary skills, please see above and/or contact the recruiter.
• 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.

Responsibilities

• 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.
• What We're Looking For
• 10+ years of experience with Strong programming skills in Python, Java and/or Scala, and expert-level SQL.
• 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 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.
• Technology
• Applications Development
• Full time
• Please see the requirements listed above.
• For complementary skills, please see above and/or contact the recruiter.
• 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.