13 hours ago
Base Salary
$103k - $129k/yr
Responsibilities
- Architect and build scalable data pipelines that ingest and process billions of trade-level Present Value calculations from stress engines.
- Develop and optimize large-scale aggregation jobs using Apache Spark.
- Design and deliver intelligent APIs for on-demand access to aggregated and non-aggregated risk data.
- Integrate Natural Language Processing capabilities for query-based data exploration and analytics.
- Load and model large aggregated datasets into Apache Pinot, Apache Druid, and Trino.
- Build interactive analytical tools and dashboards with summary views and drill-down capabilities.
- Partner with Front Office, Quantitative, and Risk Management stakeholders to address analytical needs.
Requirements
- Bachelor-level 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.
- Strong programming skills in Python, Java and/or Scala, plus expert-level SQL.
- Strong understanding of computer science fundamentals, including data structures and algorithms.
- Passion for data, analytics, large-scale problem solving, and AI-first development.
- Experience or strong interest in applying Natural Language Processing to data access and analytics.
Benefits
- Paid time off, including vacation, company holidays, personal days, and sick leave, according to employee grade and policy.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits based on local policy and eligibility.
- Regular full-time employees receive a comprehensive benefits package.
- The role is located in New Jersey and uses an onsite-hybrid work arrangement.
Tech Stack
Categories
BackendData Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.