Senior Java Developer - Vice President

Citi; Chennai District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Citi is seeking a Senior Technologist to architect and build the next-generation risk analytics platform in Chennai. You will ingest, process, and serve petabytes of data from PV outputs, VaR, and scenarios, enabling rapid insights for senior stakeholders.

You will design scalable data pipelines with Spark, create intelligent data APIs, and leverage OLAP engines like Pinot, Druid, and Trino to empower analytics. Strong coding and problem-solving are essential.

Qualifications

• 10+ years of hands-on experience in data engineering or analytics.
• Expert-level Python/Java/Scala and SQL.
• Strong background in big data tech stacks.
• Experience with risk analytics is preferred.

Responsibilities

• Architect and build scalable data pipelines for large-scale risk data.
• Develop and optimize OLAP and data APIs.
• Integrate NLP to enable natural-language data access.
• Collaborate with Front Office, Quant, and Risk teams.

Skills

Python

Java/Scala

SQL

Education

Degree in quantitative/technical field

Tools

Apache Spark

Apache Pinot

Apache Druid

Trino

Job description

The Opportunity: Are You Ready to Build the Future of Risk Analytics?

Want to solve one of the most challenging big data problems in finance today? Are you excited by the idea of working directly with front-office and risk quants on massive-scale analytics for critical regulations like FRTB? Do you want to tame billions of rows of complex financial data with Apache Spark and deliver insights to senior leaders in a fraction of a second?

Citi is looking for an elite, hands-on technologist to engineer the next-generation analytics platform for our Market Risk organization. This isn't just another data job. You will be the architect and builder of a high-performance system that ingests, processes, and serves petabytes of risk calculation data, making it instantly accessible and understandable to the entire firm.

Your Role and Impact

As a Senior Technologist, you will be at the heart of the action, designing the systems that power our most sophisticated risk-based calculations. You will take the raw, trade-level Present Value (PV) outputs from our Historical VaR and FRTB Expected Shortfall engines and transform them into a strategic data asset.

Your impact will be immediate and far-reaching. You will build the data pipelines that handle immense volumes, create intelligent APIs that democratize data access, and leverage cutting-edge OLAP and NLP technologies to provide unparalleled drill-down and analytical capabilities. You will be the go-to expert who empowers senior stakeholders in the Markets and Risk organizations to make faster, smarter decisions.

Key Responsibilities

• Architect and build robust, scalable data pipelines to ingest and process billions of trade-level PV calculations from various stress engines.
• Develop and optimise 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.

Job Family Group

Technology

Job Family

Applications Development

Time Type

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.

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