Senior Risk Analytics Architect & VP — Spark & OLAP

Citi; New York (NY); Hybrid; USD 177,000 - 265,000; Full time

Job summary

Citi is seeking a Senior Technologist to architect and build a high-performance analytics platform for Market Risk, handling petabytes of risk data and delivering rapid insights to senior stakeholders.

You will design data pipelines, APIs, and OLAP integrations (Pinot, Druid, Trino) while leveraging NLP for intuitive data access, partnering with Front Office, Quant teams, and Risk Management to meet complex analytical needs.

Qualifications

• 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.
• Experience with high-performance OLAP databases such as Apache Pinot, Apache Druid, or Trino.

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.

Skills

Apache Spark

Python

Java

Scala

SQL

NLP

Big Data

Education

Bachelor’s degree

Tools

Apache Pinot

Apache Druid

Trino

Job description

Citi is seeking a Senior Technologist to architect and build a high-performance analytics platform for Market Risk, handling petabytes of risk data and delivering rapid insights to senior stakeholders.

You will design data pipelines, APIs, and OLAP integrations (Pinot, Druid, Trino) while leveraging NLP for intuitive data access, partnering with Front Office, Quant teams, and Risk Management to meet complex analytical needs.