Chase · 2 days ago
Lead Software Engineer - Market Risk
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients. As a Lead Software Engineer at JPMorgan Chase within the Market Risk MXL DataLake Team, you will design and implement high-volume data pipelines and historical data stores, collaborating closely with architects, risk technologists, and product owners.
BankingFinancial Services
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
Qualification
Required
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
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
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
Funding
Current Stage
Late StageLeadership Team
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