Senior Technologist, Massive-Scale Risk Analytics (Hybrid)

Citi; New York (NY); Hybrid; USD 201,000 - 254,000; Full time

Job summary

Citi is seeking a Senior Hands-on Technologist to build the next-generation analytics platform for Market Risk. You will transform raw PV outputs from VaR and ES engines into a strategic data asset, drive data pipelines for petabytes of data, and create intelligent APIs to democratize access for front-office and risk teams.

You will collaborate with Front Office, Quants, and Risk to design high-performance systems, push AI-first capabilities, and enable rapid, data-driven decisions while shaping

Qualifications

• A true passion for data, analytics, and solving complex problems at massive scale.

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 for on-demand access to risk data across the firm.
• Integrate NLP capabilities to create intuitive, query-based interfaces for data exploration.
• Load and model massive aggregated datasets into high-performance OLAP engines like Pinot, Druid, and Trino.
• Build interactive analytical tools and dashboards on top of the OLAP layer for fast drill-down.

Skills

Data analytics

Apache Spark

Python

Java

Scala

SQL

Web-scale data processing

NLP

AI-first development

Problem solving

Communication with stakeholders

Education

Quantitative or technical degree (CS/Financial Math/Financial Eng)

Tools

Apache Spark

Apache Pinot

Apache Druid

Trino

Job description

Citi is seeking a Senior Hands-on Technologist to build the next-generation analytics platform for Market Risk. You will transform raw PV outputs from VaR and ES engines into a strategic data asset, drive data pipelines for petabytes of data, and create intelligent APIs to democratize access for front-office and risk teams.

You will collaborate with Front Office, Quants, and Risk to design high-performance systems, push AI-first capabilities, and enable rapid, data-driven decisions while shaping