Senior Data Engineer, Market Risk Analytics

Capgemini; Jersey City (NJ); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Paid time off

401(k) plan

Job summary

Capgemini is seeking a Principal Data Engineer - Market Risk Analytics in Jersey City to design and scale data pipelines for risk calculations across PV, VaR, and stress engines. You will architect large-scale Spark jobs, build intelligent data APIs, and model data in OLAP systems while enabling fast, actionable analytics for senior stakeholders.

The role emphasizes NLP-enabled data access, collaboration with Front Office and Quant teams, and leadership on technical projects in a fast-paced

Qualifications

• Degree in a quantitative/technical field required.
• Hands-on experience with big data tech (Spark) required.
• Experience with high-performance OLAP databases (Pinot/Druid/Trino).
• Strong programming in Python, Java or Scala; expert SQL.
• NLP experience or interest a plus; data access analytics focus.

Responsibilities

• Architect and build robust, scalable data pipelines to ingest billions of trade-level PV calculations from risk engines.
• Develop and optimize large-scale aggregation jobs using Apache Spark for performance.
• Deliver intelligent data APIs for flexible on-demand access to risk data.
• Integrate NLP to create intuitive interfaces for data exploration.
• Load and model data into OLAP engines like Pinot, Druid, Trino; build dashboards.
• Collaborate with Front Office and Risk teams to translate analytical needs into solutions.

Skills

Apache Spark

Python

Java/Scala

SQL

NLP

Education

Bachelor's degree in a quantitative field

Tools

Apache Pinot

Apache Druid

Trino

Job description

Capgemini is seeking a Principal Data Engineer - Market Risk Analytics in Jersey City to design and scale data pipelines for risk calculations across PV, VaR, and stress engines. You will architect large-scale Spark jobs, build intelligent data APIs, and model data in OLAP systems while enabling fast, actionable analytics for senior stakeholders.

The role emphasizes NLP-enabled data access, collaboration with Front Office and Quant teams, and leadership on technical projects in a fast-paced