Lead Software Engineer - Market Risk
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description We have an opportunity to impact your career and
provide an adventure where you can push the limits of what's
possible. As a Lead Software Engineer at JPMorgan Chase within the
Market Risk MXL DataLake Team, you will join a strategic initiative
building cutting-edge data platforms for market risk and analytics.
In this role, you'll design and implement high-volume data
pipelines and historical data stores, collaborating closely with
architects, risk technologists, and product owners. Job
Responsibilities Design, build, and maintain large-scale historical
data stores on modern big-data platforms Develop robust, scalable
data pipelines using PySpark / Spark for batch and incremental
processing Apply strong data-modelling principles (e.g.
dimensional, Data Vault–style, or similar approaches) to support
long-term historical analysis and regulatory requirements Engineer
high-quality, production-grade code with a focus on correctness,
performance, testability, and maintainability Optimize Spark
workloads for performance and cost efficiency (partitioning,
clustering, file layout, etc.) Collaborate with architects and
senior engineers to evolve platform standards, patterns, and best
practices Contribute to code reviews, technical design discussions,
and continuous improvement of engineering practices Required
qualifications, capabilities and skills Degree-level education in
Computer Science , Software Engineering, or a related discipline
(or equivalent practical experience) Strong software engineering
fundamentals , including data structures, algorithms, and system
design Proven experience building large-scale data engineering
solutions on big-data platforms Hands-on experience developing
PySpark / Spark pipelines in production environments Solid
understanding of data modelling for analytical and historical data
use cases Experience working with large volumes of structured data
over long time horizons Familiarity with distributed systems
concepts such as fault tolerance, parallelism, and idempotent
processing. Preferred Qualifications Experience with Databricks ,
Delta Lake, or similar cloud-based big-data platforms Hands-on
experience designing and implementing Data Vault 2.0 models.
Exposure to historical / regulatory data platforms , risk data, or
financial services Knowledge of append-only data patterns , slowly
changing dimensions, or event-driven data models Experience with
CI/CD , automated testing, and production monitoring for data
pipelines Experience building highly reliable, production-grade
risk systems with robust controls and integration with modern SRE
tooling.
Keywords: JPMorganChase, Freeport , Lead Software Engineer - Market Risk, IT / Software / Systems , Jersey City, New York
